Engineering › Industrial and Manufacturing Engineering

Digital Transformation in Industry

Works Count: 53655

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Description

This cluster of papers focuses on the digital transformation of manufacturing systems, with an emphasis on Industry 4.0 technologies such as Digital Twin, Smart Manufacturing, Cyber-Physical Systems, Big Data, and Internet of Things. It explores the integration of these technologies to improve sustainability, lean production, supply chain management, and the development of maturity models for assessing readiness and maturity in manufacturing enterprises.

Keywords

Digital Twin; Smart Manufacturing; Cyber-Physical Systems; Big Data; Sustainability; Internet of Things; Cloud Manufacturing; Lean Production; Supply Chain Management; Maturity Models

Implementing Smart Factory of Industrie 4.0: An Outlook

2016-01-01

Shiyong Wang , Jiafu Wan , Di Li +1 more

With the application of Internet of Things and services to manufacturing, the fourth stage of industrialization, referred to as Industrie 4.0, is believed to be approaching. For Industrie 4.0 to … With the application of Internet of Things and services to manufacturing, the fourth stage of industrialization, referred to as Industrie 4.0, is believed to be approaching. For Industrie 4.0 to come true, it is essential to implement the horizontal integration of inter-corporation value network, the end-to-end integration of engineering value chain, and the vertical integration of factory inside. In this paper, we focus on the vertical integration to implement flexible and reconfigurable smart factory. We first propose a brief framework that incorporates industrial wireless networks, cloud, and fixed or mobile terminals with smart artifacts such as machines, products, and conveyors. Then, we elaborate the operational mechanism from the perspective of control engineering, that is, the smart artifacts form a self-organized system which is assisted with the feedback and coordination blocks that are implemented on the cloud and based on the big data analytics. In addition, we outline the main technical features and beneficial outcomes and present a detailed design scheme. We conclude that the smart factory of Industrie 4.0 is achievable by extensively applying the existing enabling technologies while actively coping with the technical challenges.

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How Virtualization, Decentralization and Network Building Change the Manufacturing Landscape: An Industry 4.0 Perspective

2014-11-11

Malte Brettel , Niklas Friederichsen , Michael Keller +1 more

A Cyber-Physical Systems architecture for Industry 4.0-based manufacturing systems

2014-12-10

Jay Lee , Behrad Bagheri , Hung-An Kao

Industry 4.0

2014-06-19

Heiner Lasi , Peter Fettke , Hans-Georg Kemper +2 more

Smart manufacturing: Past research, present findings, and future directions

2016-01-01

Hyoung Seok Kang , Ju Yeon Lee , SangSu Choi +5 more

Design Principles for Industrie 4.0 Scenarios

2016-01-01

Mario Hermann , Tobias Pentek , Boris Otto

The increasing integration of the Internet of Everything into the industrial value chain has built the foundation for the next industrial revolution called Industrie 4.0. Although Industrie 4.0 is currently … The increasing integration of the Internet of Everything into the industrial value chain has built the foundation for the next industrial revolution called Industrie 4.0. Although Industrie 4.0 is currently a top priority for many companies, research centers, and universities, a generally accepted understanding of the term does not exist. As a result, discussing the topic on an academic level is difficult, and so is implementing Industrie 4.0 scenarios. Based on a quantitative text analysis and a qualitative literature review, the paper identifies design principles of Industrie 4.0. Taking into account these principles, academics may be enabled to further investigate on the topic, while practitioners may find assistance in identifying appropriate scenarios. A case study illustrates how the identified design principles support practitioners in identifying Industrie 4.0 scenarios.

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About The Importance of Autonomy and Digital Twins for the Future of Manufacturing

2015-01-01

Roland Rosen , Georg von Wichert , George Lo +1 more

Industrie 4.0 - the "brand" name of the German initiative driving the future of manufacturing - is one of several initiatives around the globe emphasizing the importance of industrial manufacturing … Industrie 4.0 - the "brand" name of the German initiative driving the future of manufacturing - is one of several initiatives around the globe emphasizing the importance of industrial manufacturing for economy and society. Besides the socio-economical if not political question which has to be answered - including the question about the future of labor - there are a couple of substantial technical and technological questions that have to be taken care of as well.

Cyber-physical systems in manufacturing

2016-01-01

László Monostori , Botond Kádár , Thomas Bauernhansl +7 more

A Maturity Model for Assessing Industry 4.0 Readiness and Maturity of Manufacturing Enterprises

2016-01-01

Andreas Schumacher , Selim Erol , Wilfried Sihn

Manufacturing enterprises are currently facing substantial challenges with regard to disruptive concepts such as the Internet of Things, Cyber Physical Systems or Cloud-based Manufacturing – also referred to as Industry … Manufacturing enterprises are currently facing substantial challenges with regard to disruptive concepts such as the Internet of Things, Cyber Physical Systems or Cloud-based Manufacturing – also referred to as Industry 4.0. Subsequently, increasing complexity on all firm levels creates uncertainty about respective organizational and technological capabilities and adequate strategies to develop them. In this paper we propose an empirically grounded novel model and its implementation to assess the Industry 4.0 maturity of industrial enterprises in the domain of discrete manufacturing. Our main goal was to extend the dominating technology focus of recently developed models by including organizational aspects. Overall we defined 9 dimensions and assigned 62 items to them for assessing Industry 4.0 maturity. The dimensions “Products”, “Customers”, “Operations” and “Technology” have been created to assess the basic enablers. Additionally, the dimensions “Strategy”, “Leadership”, Governance, “Culture” and “People” allow for including organizational aspects into the assessment. Afterwards, the model has been transformed into a practical tool and tested in several companies whereby one case is presented in the paper. First validations of the model's structure and content show that the model is transparent and easy to use and proved its applicability in real production environments.

Digital Twin: Mitigating Unpredictable, Undesirable Emergent Behavior in Complex Systems

2016-08-16

Michael Grieves , John Vickers

Fourth Industrial Revolution

2021-01-01

“Industrie 4.0” and Smart Manufacturing – A Review of Research Issues and Application Examples

2017-01-04

Klaus‐Dieter Thoben , Stefan Wiesner , Thorsten Wuest

A fourth industrial revolution is occurring in global manufacturing. It is based on the introduction of Internet of things and servitization concepts into manufacturing companies, leading to vertically and horizontally … A fourth industrial revolution is occurring in global manufacturing. It is based on the introduction of Internet of things and servitization concepts into manufacturing companies, leading to vertically and horizontally integrated production systems. The resulting smart factories are able to fulfill dynamic customer demands with high variability in small lot sizes while integrating human ingenuity and automation. To support the manufacturing industry in this conversion process and enhance global competitiveness, policy makers in several countries have established research and technology transfer schemes. Most prominently, Germany has enacted its Industrie 4.0 program, which is increasingly affecting European policy, while the United States focuses on smart manufacturing . Other industrial nations have established their own programs on smart manufacturing, notably Japan and Korea. This shows that manufacturing intelligence has become a crucial topic for researchers and industries worldwide. The main object of these activities are the so-called cyber-physical systems (CPS): physical entities (e.g., machines, vehicles, and work pieces), which are equipped with technologies such as RFIDs, sensors, microprocessors, telematics or complete embedded systems. They are characterized by being able to collect data of themselves and their environment, process and evaluate these data, connect and communicate with other systems, and initiate actions. In addition, CPS enabled new services that can replace traditional business models based solely on product sales. The objective of this paper is to provide an overview of the Industrie 4.0 and smart manufacturing programs, analyze the application potential of CPS starting from product design through production and logistics up to maintenance and exploitation (e.g., recycling), and identify current and future research issues. Besides the technological perspective, the paper also takes into account the economic side considering the new business strategies and models available.

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Digital twin-driven product design, manufacturing and service with big data

2017-03-16

Fei Tao , Jiangfeng Cheng , Qinglin Qi +3 more

Past, present and future of Industry 4.0 - a systematic literature review and research agenda proposal

2017-03-28

Yongxin Liao , Fernando Deschamps , Eduardo de Freitas Rocha Loures +1 more

Over the last few years, the fourth industrial revolution has attracted more and more attentions all around the world. In the current literature, there is still a lack of efforts … Over the last few years, the fourth industrial revolution has attracted more and more attentions all around the world. In the current literature, there is still a lack of efforts to systematically review the state of the art of this new industrial revolution wave. The aim of this study is to address this gap by investigating the academic progresses in Industry 4.0. A systematic literature review was carried out to analyse the academic articles within the Industry 4.0 topic that were published online until the end of June 2016. In this paper, the obtained results from both the general data analysis of included papers (e.g. relevant journals, their subject areas and categories, conferences, keywords) and the specific data analysis corresponding to four research sub-questions are illustrated and discussed. These results not only summarise the current research activities (e.g. main research directions, applied standards, employed software and hardware), but also indicate existing deficiencies and potential research directions through proposing a research agenda. Findings of this review can be used as the basis for future research in Industry 4.0 and related topics.

Industry 4.0: A survey on technologies, applications and open research issues

2017-04-17

Yang Lu

Industry 4.0 and the current status as well as future prospects on logistics

2017-04-22

Erik Hofmann , Marco Rüsch

A Review of the Roles of Digital Twin in CPS-based Production Systems

2017-01-01

Elisa Negri , Luca Fumagalli , Marco Macchi

The Digital Twin (DT) is one of the main concepts associated to the Industry 4.0 wave. This term is more and more used in industry and research initiatives; however, the … The Digital Twin (DT) is one of the main concepts associated to the Industry 4.0 wave. This term is more and more used in industry and research initiatives; however, the scientific literature does not provide a unique definition of this concept. The paper aims at analyzing the definitions of the DT concept in scientific literature, retracing it from the initial conceptualization in the aerospace field, to the most recent interpretations in the manufacturing domain and more specifically in Industry 4.0 and smart manufacturing research. DT provides virtual representations of systems along their lifecycle. Optimizations and decisions making would then rely on the same data that are updated in real-time with the physical system, through synchronization enabled by sensors. The paper also proposes the definition of DT for Industry 4.0 manufacturing, elaborated by the European H2020 project MAYA, as a contribution to the research discussion about DT concept.

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Digital Twin Shop-Floor: A New Shop-Floor Paradigm Towards Smart Manufacturing

2017-01-01

Fei Tao , Meng Zhang

With the developments and applications of the new information technologies, such as cloud computing, Internet of Things, big data, and artificial intelligence, a smart manufacturing era is coming. At the … With the developments and applications of the new information technologies, such as cloud computing, Internet of Things, big data, and artificial intelligence, a smart manufacturing era is coming. At the same time, various national manufacturing development strategies have been put forward, such as Industry 4.0, Industrial Internet, manufacturing based on Cyber-Physical System, and Made in China 2025. However, one of specific challenges to achieve smart manufacturing with these strategies is how to converge the manufacturing physical world and the virtual world, so as to realize a series of smart operations in the manufacturing process, including smart interconnection, smart interaction, smart control and management, etc. In this context, as a basic unit of manufacturing, shop-floor is required to reach the interaction and convergence between physical and virtual spaces, which is not only the imperative demand of smart manufacturing, but also the evolving trend of itself. Accordingly, a novel concept of digital twin shopfloor (DTS) based on digital twin is explored and its four key components are discussed, including physical shop-floor, virtual shop-floor, shop-floor service system, and shop-floor digital twin data. What is more, the operation mechanisms and implementing methods for DTS are studied and key technologies as well as challenges ahead are investigated, respectively.

Intelligent Manufacturing in the Context of Industry 4.0: A Review

2017-10-01

Ray Y. Zhong , Xun Xu , Eberhard Klotz +1 more

Our next generation of industry—Industry 4.0—holds the promise of increased flexibility in manufacturing, along with mass customization, better quality, and improved productivity. It thus enables companies to cope with the … Our next generation of industry—Industry 4.0—holds the promise of increased flexibility in manufacturing, along with mass customization, better quality, and improved productivity. It thus enables companies to cope with the challenges of producing increasingly individualized products with a short lead-time to market and higher quality. Intelligent manufacturing plays an important role in Industry 4.0. Typical resources are converted into intelligent objects so that they are able to sense, act, and behave within a smart environment. In order to fully understand intelligent manufacturing in the context of Industry 4.0, this paper provides a comprehensive review of associated topics such as intelligent manufacturing, Internet of Things (IoT)-enabled manufacturing, and cloud manufacturing. Similarities and differences in these topics are highlighted based on our analysis. We also review key technologies such as the IoT, cyber-physical systems (CPSs), cloud computing, big data analytics (BDA), and information and communications technology (ICT) that are used to enable intelligent manufacturing. Next, we describe worldwide movements in intelligent manufacturing, including governmental strategic plans from different countries and strategic plans from major international companies in the European Union, United States, Japan, and China. Finally, we present current challenges and future research directions. The concepts discussed in this paper will spark new ideas in the effort to realize the much-anticipated Fourth Industrial Revolution.

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Internet of things and supply chain management: a literature review

2017-11-16

Mohamed Ben‐Daya , Elkafi Hassini , Zied Bahroun

This paper explores the role of Internet of Things (IoT) and its impact on supply chain management (SCM) through an extensive literature review. Important aspects of IoT in SCM are … This paper explores the role of Internet of Things (IoT) and its impact on supply chain management (SCM) through an extensive literature review. Important aspects of IoT in SCM are covered including IoT definition, main IoT technology enablers and various SCM processes and applications. We offer several categorisation of the extant literature, such as based on methodology, industry sector and focus on a classification based on major supply chain processes. In addition, a bibliometric analysis of the literature is also presented. We find that most studies have focused on conceptualising the impact of IoT with limited analytical models and empirical studies. In addition, most studies have focused on the delivery supply chain process and the food and manufacturing supply chains. Areas of future SCM research that can support IoT implementation are also identified.

Fortune favors the prepared: How SMEs approach business model innovations in Industry 4.0

2018-01-05

Julian M. Müller , Oana Buliga , Kai‐Ingo Voigt

Digital Twin and Big Data Towards Smart Manufacturing and Industry 4.0: 360 Degree Comparison

2018-01-01

Qinglin Qi , Fei Tao

With the advances in new-generation information technologies, especially big data and digital twin, smart manufacturing is becoming the focus of global manufacturing transformation and upgrading. Intelligence comes from data. Integrated … With the advances in new-generation information technologies, especially big data and digital twin, smart manufacturing is becoming the focus of global manufacturing transformation and upgrading. Intelligence comes from data. Integrated analysis for the manufacturing big data is beneficial to all aspects of manufacturing. Besides, the digital twin paves a way for the cyber-physical integration of manufacturing, which is an important bottleneck to achieve smart manufacturing. In this paper, the big data and digital twin in manufacturing are reviewed, including their concept as well as their applications in product design, production planning, manufacturing, and predictive maintenance. On this basis, the similarities and differences between big data and digital twin are compared from the general and data perspectives. Since the big data and digital twin can be complementary, how they can be integrated to promote smart manufacturing are discussed.

Data-driven smart manufacturing

2018-01-17

Fei Tao , Qinglin Qi , Ang Liu +1 more

Industry 4.0: state of the art and future trends

2018-03-09

Li Da Xu , Eric Xu , Ling Li

Rapid advances in industrialisation and informatisation methods have spurred tremendous progress in developing the next generation of manufacturing technology. Today, we are on the cusp of the Fourth Industrial Revolution. … Rapid advances in industrialisation and informatisation methods have spurred tremendous progress in developing the next generation of manufacturing technology. Today, we are on the cusp of the Fourth Industrial Revolution. In 2013, amongst one of 10 'Future Projects' identified by the German government as part of its High-Tech Strategy 2020 Action Plan, the Industry 4.0 project is considered to be a major endeavour for Germany to establish itself as a leader of integrated industry. In 2014, China's State Council unveiled their ten-year national plan, Made-in-China 2025, which was designed to transform China from the world's workshop into a world manufacturing power. Made-in-China 2025 is an initiative to comprehensively upgrade China's industry including the manufacturing sector. In Industry 4.0 and Made-in-China 2025, many applications require a combination of recently emerging new technologies, which is giving rise to the emergence of Industry 4.0. Such technologies originate from different disciplines including cyber-physical Systems, IoT, cloud computing, Industrial Integration, Enterprise Architecture, SOA, Business Process Management, Industrial Information Integration and others. At this present moment, the lack of powerful tools still poses a major obstacle for exploiting the full potential of Industry 4.0. In particular, formal methods and systems methods are crucial for realising Industry 4.0, which poses unique challenges. In this paper, we briefly survey the state of the art in the area of Industry 4.0 as it relates to industries.

Industry 4.0 – A Glimpse

2018-01-01

Saurabh Vaidya , Prashant M. Ambad , Santosh Bhosle

Digitization and intelligentization of manufacturing process is the need for today’s industry. The manufacturing industries are currently changing from mass production to customized production. The rapid advancements in manufacturing technologies … Digitization and intelligentization of manufacturing process is the need for today’s industry. The manufacturing industries are currently changing from mass production to customized production. The rapid advancements in manufacturing technologies and applications in the industries help in increasing productivity. The term Industry 4.0 stands for the fourth industrial revolution which is defined as a new level of organization and control over the entire value chain of the life cycle of products; it is geared towards increasingly individualized customer requirements. Industry 4.0 is still visionary but a realistic concept which includes Internet of Things, Industrial Internet, Smart Manufacturing and Cloud based Manufacturing. Industry 4.0 concerns the strict integration of human in the manufacturing process so as to have continuous improvement and focus on value adding activities and avoiding wastes. The objective of this paper is to provide an overview of Industry 4.0 and understanding of the nine pillars of Industry 4.0 with its applications and identifying the challenges and issues occurring with implementation the Industry 4.0 and to study the new trends and streams related to Industry 4.0.

Sustainable Industry 4.0 framework: A systematic literature review identifying the current trends and future perspectives

2018-05-29

Sachin Kamble , Angappa Gunasekaran , Shradha Gawankar

The future of manufacturing industry: a strategic roadmap toward Industry 4.0

2018-06-27

Morteza Ghobakhloo

Purpose The purpose of this paper is to conduct a state-of-the-art review of the ongoing research on the Industry 4.0 phenomenon, highlight its key design principles and technology trends, identify … Purpose The purpose of this paper is to conduct a state-of-the-art review of the ongoing research on the Industry 4.0 phenomenon, highlight its key design principles and technology trends, identify its architectural design and offer a strategic roadmap that can serve manufacturers as a simple guide for the process of Industry 4.0 transition. Design/methodology/approach The study performs a systematic and content-centric review of literature based on a six-stage approach to identify key design principles and technology trends of Industry 4.0. The study further benefits from a comprehensive content analysis of the 178 documents identified, both manually and via IBM Watson’s natural language processing for advanced text analysis. Findings Industry 4.0 is an integrative system of value creation that is comprised of 12 design principles and 14 technology trends. Industry 4.0 is no longer a hype and manufacturers need to get on board sooner rather than later. Research limitations/implications The strategic roadmap presented in this study can serve academicians and practitioners as a stepping stone for development of a detailed strategic roadmap for successful transition from traditional manufacturing into the Industry 4.0. However, there is no one-size-fits-all strategy that suits all businesses or industries, meaning that the Industry 4.0 roadmap for each company is idiosyncratic, and should be devised based on company’s core competencies, motivations, capabilities, intent, goals, priorities and budgets. Practical implications The first step for transitioning into the Industry 4.0 is the development of a comprehensive strategic roadmap that carefully identifies and plans every single step a manufacturing company needs to take, as well as the timeline, and the costs and benefits associated with each step. The strategic roadmap presented in this study can offer as a holistic view of common steps that manufacturers need to undertake in their transition toward the Industry 4.0. Originality/value The study is among the first to identify, cluster and describe design principles and technology trends that are building blocks of the Industry 4.0. The strategic roadmap for Industry 4.0 transition presented in this study is expected to assist contemporary manufacturers to understand what implementing the Industry 4.0 really requires of them and what challenges they might face during the transition process.

Literature review of Industry 4.0 and related technologies

2018-07-24

Ercan Öztemel , Samet Gürsev

The expected contribution of Industry 4.0 technologies for industrial performance

2018-08-21

Lucas Santos Dalenogare , Guilherme Brittes Benitez , Néstor Fabián Ayala +1 more

Digital Twin in manufacturing: A categorical literature review and classification

2018-01-01

Werner Kritzinger , Matthias Karner , Georg Traar +2 more

The Digital Twin (DT) is commonly known as a key enabler for the digital transformation, however, in literature is no common understanding concerning this term. It is used slightly different … The Digital Twin (DT) is commonly known as a key enabler for the digital transformation, however, in literature is no common understanding concerning this term. It is used slightly different over the disparate disciplines. The aim of this paper is to provide a categorical literature review of the DT in manufacturing and to classify existing publication according to their level of integration of the DT. Therefore, it is distinct between Digital Model (DM), Digital Shadow (DS) and Digital Twin. The results are showing, that literature concerning the highest development stage, the DT, is scarce, whilst there is more literature about DM and DS.

Industry 4.0 technologies: Implementation patterns in manufacturing companies

2019-01-09

Alejandro Germán Frank , Lucas Santos Dalenogare , Néstor Fabián Ayala

Digital Twin in Industry: State-of-the-Art

2019-04-01

Fei Tao , He Zhang , Ang Liu +1 more

Digital twin (DT) is one of the most promising enabling technologies for realizing smart manufacturing and Industry 4.0. DTs are characterized by the seamless integration between the cyber and physical … Digital twin (DT) is one of the most promising enabling technologies for realizing smart manufacturing and Industry 4.0. DTs are characterized by the seamless integration between the cyber and physical spaces. The importance of DTs is increasingly recognized by both academia and industry. It has been almost 15 years since the concept of the DT was initially proposed. To date, many DT applications have been successfully implemented in different industries, including product design, production, prognostics and health management, and some other fields. However, at present, no paper has focused on the review of DT applications in industry. In an effort to understand the development and application of DTs in industry, this paper thoroughly reviews the state-of-the-art of the DT research concerning the key components of DTs, the current development of DTs, and the major DT applications in industry. This paper also outlines the current challenges and some possible directions for future work.

Driving forces and barriers of Industry 4.0: Do multinational and small and medium-sized companies have equal opportunities?

2019-06-05

Dóra Horváth , Roland Z. Szabó

The Fourth Industrial Revolution poses significant challenges to manufacturing companies from the technological, organizational and management points of view. This paper aims to explore how top executives interpret the concept … The Fourth Industrial Revolution poses significant challenges to manufacturing companies from the technological, organizational and management points of view. This paper aims to explore how top executives interpret the concept of Industry 4.0, the driving forces for introducing new technologies and the main barriers to Industry 4.0. The authors applied a qualitative case study design involving 26 semi-structured interviews with leading members of firms, including chief digital officers and chief executive officers. Company websites and annual reports were also examined to increase the reliability and validity of the results. The authors found that management desire to increase control and enable real-time performance measurement is a significant driving force behind Industry 4.0, alongside production factors. Organizational resistance at both employee and middle management levels can significantly hinder the introduction of Industry 4.0 technologies, though these technologies can also transform management functions. Multinational enterprises have higher driving forces and lower barriers to industry 4.0 than small and medium-sized companies, but these smaller companies have good opportunities, too.

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Digital Twin-driven smart manufacturing: Connotation, reference model, applications and research issues

2019-08-08

Yuqian Lu , Chao Liu , Kevin I‐Kai Wang +2 more

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Industry 5.0—A Human-Centric Solution

2019-08-13

Saeid Nahavandi

Staying at the top is getting tougher and more challenging due to the fast-growing and changing digital technologies and AI-based solutions. The world of technology, mass customization, and advanced manufacturing … Staying at the top is getting tougher and more challenging due to the fast-growing and changing digital technologies and AI-based solutions. The world of technology, mass customization, and advanced manufacturing is experiencing a rapid transformation. Robots are becoming even more important as they can now be coupled with the human mind by means of brain–machine interface and advances in artificial intelligence. A strong necessity to increase productivity while not removing human workers from the manufacturing industry is imposing punishing challenges on the global economy. To counter these challenges, this article introduces the concept of Industry 5.0, where robots are intertwined with the human brain and work as collaborator instead of competitor. This article also outlines a number of key features and concerns that every manufacturer may have about Industry 5.0. In addition, it presents several developments achieved by researchers for use in Industry 5.0 applications and environments. Finally, the impact of Industry 5.0 on the manufacturing industry and overall economy is discussed from an economic and productivity point of view, where it is argued that Industry 5.0 will create more jobs than it will take away.

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Digital transformation: A multidisciplinary reflection and research agenda

2019-11-03

Peter C. Verhoef , Thijs Broekhuizen , Yakov Bart +4 more

Digital transformation and resultant business model innovation have fundamentally altered consumers' expectations and behaviors, putting immense pressure on traditional firms, and disrupting numerous markets. Drawing on extant literature, we identify … Digital transformation and resultant business model innovation have fundamentally altered consumers' expectations and behaviors, putting immense pressure on traditional firms, and disrupting numerous markets. Drawing on extant literature, we identify three stages of digital transformation: digitization, digitalization, and digital transformation. We identify and delineate growth strategies for digital firms as well as the assets and capabilities required in order to successfully transform digitally. We posit that digital transformation requires specific organizational structures and bears consequences for the metrics used to calibrate performance. Finally, we provide a research agenda to stimulate and guide future research on digital transformation.

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Enabling technologies and tools for digital twin

2019-10-29

Qinglin Qi , Fei Tao , Tianliang Hu +5 more

Digital Twin: Enabling Technologies, Challenges and Open Research

2020-01-01

Aidan Fuller , Zhong Fan , Charles Day +1 more

Digital Twin technology is an emerging concept that has become the centre of attention for industry and, in more recent years, academia. The advancements in industry 4.0 concepts have facilitated … Digital Twin technology is an emerging concept that has become the centre of attention for industry and, in more recent years, academia. The advancements in industry 4.0 concepts have facilitated its growth, particularly in the manufacturing industry. The Digital Twin is defined extensively but is best described as the effortless integration of data between a physical and virtual machine in either direction. The challenges, applications, and enabling technologies for Artificial Intelligence, Internet of Things (IoT) and Digital Twins are presented. A review of publications relating to Digital Twins is performed, producing a categorical review of recent papers. The review has categorised them by research areas: manufacturing, healthcare and smart cities, discussing a range of papers that reflect these areas and the current state of research. The paper provides an assessment of the enabling technologies, challenges and open research for Digital Twins.

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The machine that changed the world

1992-06-01

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Industry 4.0, digitization, and opportunities for sustainability

2019-12-27

Morteza Ghobakhloo

Digital Twin: Values, Challenges and Enablers From a Modeling Perspective

2020-01-01

Adil Rasheed , Omer San , Trond Kvamsdal

Digital twin can be defined as a virtual representation of a physical asset enabled through data and simulators for real-time prediction, optimization, monitoring, controlling, and improved decision making. Recent advances … Digital twin can be defined as a virtual representation of a physical asset enabled through data and simulators for real-time prediction, optimization, monitoring, controlling, and improved decision making. Recent advances in computational pipelines, multiphysics solvers, artificial intelligence, big data cybernetics, data processing and management tools bring the promise of digital twins and their impact on society closer to reality. Digital twinning is now an important and emerging trend in many applications. Also referred to as a computational megamodel, device shadow, mirrored system, avatar or a synchronized virtual prototype, there can be no doubt that a digital twin plays a transformative role not only in how we design and operate cyber-physical intelligent systems, but also in how we advance the modularity of multi-disciplinary systems to tackle fundamental barriers not addressed by the current, evolutionary modeling practices. In this work, we review the recent status of methodologies and techniques related to the construction of digital twins mostly from a modeling perspective. Our aim is to provide a detailed coverage of the current challenges and enabling technologies along with recommendations and reflections for various stakeholders.

Characterising the Digital Twin: A systematic literature review

2020-03-09

David Jones , Chris Snider , Aydin Nassehi +2 more

While there has been a recent growth of interest in the Digital Twin, a variety of definitions employed across industry and academia remain. There is a need to consolidate research … While there has been a recent growth of interest in the Digital Twin, a variety of definitions employed across industry and academia remain. There is a need to consolidate research such to maintain a common understanding of the topic and ensure future research efforts are to be based on solid foundations. Through a systematic literature review and a thematic analysis of 92 Digital Twin publications from the last ten years, this paper provides a characterisation of the Digital Twin, identification of gaps in knowledge, and required areas of future research. In characterising the Digital Twin, the state of the concept, key terminology, and associated processes are identified, discussed, and consolidated to produce 13 characteristics (Physical Entity/Twin; Virtual Entity/Twin; Physical Environment; Virtual Environment; State; Realisation; Metrology; Twinning; Twinning Rate; Physical-to-Virtual Connection/Twinning; Virtual-to-Physical Connection/Twinning; Physical Processes; and Virtual Processes) and a complete framework of the Digital Twin and its process of operation. Following this characterisation, seven knowledge gaps and topics for future research focus are identified: Perceived Benefits; Digital Twin across the Product Life-Cycle; Use-Cases; Technical Implementations; Levels of Fidelity; Data Ownership; and Integration between Virtual Entities; each of which are required to realise the Digital Twin.

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Industry 4.0 technologies assessment: A sustainability perspective

2020-05-06

Chunguang Bai , Patrick Dallasega , Guido Orzes +1 more

The fourth industrial revolution, also labelled Industry 4.0, was beget with emergent and disruptive intelligence and information technologies. These new technologies are enabling ever-higher levels of production efficiencies. They also … The fourth industrial revolution, also labelled Industry 4.0, was beget with emergent and disruptive intelligence and information technologies. These new technologies are enabling ever-higher levels of production efficiencies. They also have the potential to dramatically influence social and environmental sustainable development. Organizations need to consider Industry 4.0 technologies contribution to sustainability. Sufficient guidance, in this respect, is lacking in the scholarly or practitioner literature. In this study, we further examine Industry 4.0 technologies in terms of application and sustainability implications. We introduce a measures framework for sustainability based on the United Nations Sustainable Development Goals; incorporating various economic, environmental and social attributes. We also develop a hybrid multi-situation decision method integrating hesitant fuzzy set, cumulative prospect theory and VIKOR. This method can effectively evaluate Industry 4.0 technologies based on their sustainable performance and application. We apply the method using secondary case information from a report of the World Economic Forum. The results show that mobile technology has the greatest impact on sustainability in all industries, and nanotechnology, mobile technology, simulation and drones have the highest impact on sustainability in the automotive, electronics, food and beverage, and textile, apparel and footwear industries, respectively. Our recommendation is to take advantage of Industry 4.0 technology adoption to improve sustainability impact but each technology needs to be carefully evaluated as specific technology will variably influence industry and sustainability dimensions. Investment in such technologies should consider appropriate priority investment and championing.

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Review of digital twin about concepts, technologies, and industrial applications

2020-07-09

Mengnan Liu , Shuiliang Fang , Huiyue Dong +1 more

Industry 5.0: A survey on enabling technologies and potential applications

2021-08-11

Praveen Kumar Reddy Maddikunta , Quoc‐Viet Pham , B. Prabadevi +5 more

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Industry 4.0 and Industry 5.0—Inception, conception and perception

2021-10-01

Xun Xu , Yuqian Lu , Birgit Vogel‐Heuser +1 more

Industry 4.0, an initiative from Germany, has become a globally adopted term in the past decade. Many countries have introduced similar strategic initiatives, and a considerable research effort has been … Industry 4.0, an initiative from Germany, has become a globally adopted term in the past decade. Many countries have introduced similar strategic initiatives, and a considerable research effort has been spent on developing and implementing some of the Industry 4.0 technologies. At the ten-year mark of the introduction of Industry 4.0, the European Commission announced Industry 5.0. Industry 4.0 is considered to be technology-driven, whereas Industry 5.0 is value-driven. The co-existence of two Industrial Revolutions invites questions and hence demands discussions and clarifications. We have elected to use five of these questions to structure our arguments and tried to be unbiased for the selection of the sources of information and for the discussions around the key issues. It is our intention that this article will spark and encourage continued debate and discussion around these topics.

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The Fourth Industrial Revolution

2017-02-28

Manufacturing Advantage: Why High-Performance Work Systems Pay Off

2001-10-01

David I. Levine , Eileen Appelbaum , Thomas A. Bailey +2 more

Empowering sustainability through digital transformation: the bridging power of digital capabilities and innovation

2025-06-25

Nadia A. Abdelmageed Abdelwaheed , Naimatullah Shah , Bahadur Ali Soomro +1 more | Business Process Management Journal

Purpose The present study investigates the role digital transformation (DT) plays, both directly and indirectly, in digital capability (DC) and digital innovation (DI) in the context of small and medium-sized … Purpose The present study investigates the role digital transformation (DT) plays, both directly and indirectly, in digital capability (DC) and digital innovation (DI) in the context of small and medium-sized enterprises (SMEs) in Saudi Arabia. Design/methodology/approach The resource-based view (RBV) theory underpins the study’s theoretical framework. Using a convenience sampling method, the researchers employed a quantitative approach to gather cross-sectional data from top managers. The study utilized 390 valid samples to conclude the investigation. Findings We used structural equation modeling (SEM) using AMOS version 27.0 to test the hypothesized relationships. The results demonstrate that DT significantly and positively impacts DC, DI and sustainability. The DI factor emerges as a strong positive predictor of sustainability. Conversely, DC is a negative predictor of sustainability. Besides, DI mediates the connection between DT and sustainability. On the other hand, the DC factor negatively mediates the relationship between DT and sustainability. Practical implications The findings would assist policymakers and planners in catalysing a digital revolution within companies by fostering the development of digital capabilities, promoting DI and encouraging innovative ideas. The study helps update business practices and make industry standards sustainable and resilient. Originality/value Finally, the study’s findings contribute to the literature by providing an integrated theatrical framework that simultaneously offers both direct and indirect effects of DT on sustainability in the presence of two robust mediators.

Organizational Agility Through Re-skilling: HR Strategies for Sustained Performance in the Digital Era

2025-06-25

Bhupinderpreet Bedi | Journal of Informatics Education and Research

In the digital era, rapid advancements in automation, robotics, and artificial intelligence are redefining the nature of work and posing significant challenges for organizations, particularly in attracting, developing, and retaining … In the digital era, rapid advancements in automation, robotics, and artificial intelligence are redefining the nature of work and posing significant challenges for organizations, particularly in attracting, developing, and retaining critical talent. As job roles evolve with technological transformation, organizations increasingly recognize the strategic urgency of up-skilling and re-skilling their existing workforce. This conceptual-empirical paper draws upon current literature and primary data to highlight the growing importance of retraining initiatives in navigating digital disruption. It explores the emerging challenges faced by HR leaders who must reimagine learning and development frameworks as a core organizational priority. A sample of 250 professionals across Indian IT, BFSI, and manufacturing sectors is analyzed to assess how reskilling and AI-enabled learning impact workforce agility, engagement, and retention. Findings emphasize the need for transformative HR practices to drive workforce agility and organizational effectiveness. The paper concludes with implications and a future research agenda.

An Overview of Advanced Computing with Industry 4.0

2025-06-24

Shubhanshu Rao , Gaurav Kumar , Raj Singh | CRC Press eBooks

An Overview of Industry 4.0 Applications in the Area of Nanotechnology

2025-06-24

Ramesh Kumar , Ratneshwar Kumar Ratnesh , Jay Singh +1 more | CRC Press eBooks

Towards a Digital Twin for Open-Frame Underwater Vehicles Using Evolutionary Algorithms

2025-06-24

Félix Orjales , Julián Rodríguez-Cortegoso , Enrique Fernández-Pérez +2 more | Applied Sciences

Hydrodynamic coefficients determine the behavior of all simulated underwater vehicles. Therefore, it is essential to precisely define their values when aiming to replicate a real vehicle. Generally established procedures for … Hydrodynamic coefficients determine the behavior of all simulated underwater vehicles. Therefore, it is essential to precisely define their values when aiming to replicate a real vehicle. Generally established procedures for obtaining them tend to have limitations, especially in transient responses. To address these issues, this paper proposes a comprehensive methodology for obtaining the hydrodynamic coefficients of an underwater vehicle. The main novelty is the combination of empirical measurements as a first step and evolutionary algorithms as a final step for optimizing the coefficients. The proposed methodology is described and applied to a commercially available remotely operated vehicle (ROV) BlueROV2, followed by analyzing the results in detail and including several tests that compare it to the real vehicle to validate its adequacy.

A digital twin framework for enhancing human–agentic AI–machine collaboration

2025-06-24

Bernardo Nicoletti , Andrea Appolloni | Journal of Intelligent Manufacturing

Micro, Small and Medium-sized Enterprises in the Digital Economy: Barriers to Digitalisation

2025-06-24

Grażyna Węgrzyn | Krakow Review of Economics and Management/Zeszyty Naukowe Uniwersytetu Ekonomicznego w Krakowie

Objective: To identify the barriers to digitalisation micro, small and medium-sized enterprises (SME) in Poland face, using enterprises in Dolnośląskie voivodeship as an example. Research Design & Methods: A review … Objective: To identify the barriers to digitalisation micro, small and medium-sized enterprises (SME) in Poland face, using enterprises in Dolnośląskie voivodeship as an example. Research Design & Methods: A review of the subject literature on the essence, level and importance of the digitalisation of enterprises, as well as on the limitations in the use of digital technologies by SMEs. The review is complemented by empirical research conducted in June and July 2023 on a sample of 50 enterprises. The research was preceded by field observation. A questionnaire was administered in electronic (Microsoft Forms) and paper form among clients of an accounting office in the Dolnośląskie voivodeship. Findings: The results confirm that the level of digitalisation among micro, small and medium-sized enterprises in Poland is low. The owners of enterprises point to a range of barriers that discourage them from implementing digital solutions. The research showed that, among the micro, small, and medium-sized enterprises surveyed, the most frequent barriers to implementing digital solutions were a successfully functioning business, a lack of knowledge on available digital solutions, and a lack of clarity regarding the benefits that such solutions may bring. Meanwhile, firms that have already begun digital transformation indicated a range of barriers to further implementation of digital solutions, including a lack of suitable competences, high investment costs, and concerns about leaving traces in the digital world and being exposed to various types of inspections. Implications / Recommendations: There is a need for education and support of digital competences, as well as to increase awareness among the owners of small firms as to the benefits digitalisation promises. At the same time, data and privacy must be protected in order to encourage entrepreneurs to safely implement digital solutions. Contribution: The research conclusions fill a research gap and can be used by both practitioners and theoreticians. Understanding both the level of digitalisation in SMEs and the barriers hindering the use of digital technologies should help the field develop.

Review of Applications of Digital Twins and Industry 4.0 for Machining

2025-06-24

Leonardo Rosa Ribeiro da Silva , Danil Yurievich Pimenov , Rosemar Batista da Silva +2 more | Journal of Manufacturing and Materials Processing

Digital twins, as part of Industry 4.0, are critical for advanced smart manufacturing processes, including machining. Sensor systems in smart manufacturing allow for real-time tracking of all changes in the … Digital twins, as part of Industry 4.0, are critical for advanced smart manufacturing processes, including machining. Sensor systems in smart manufacturing allow for real-time tracking of all changes in the machining process as well as simulation of an object’s behavior in the real world. It can also intervene and correct any defects that may arise during the machining process. The current review covers basic concepts for machining processes for the first time in detail, including Big Data, the Internet of Things, product lifecycle management, continuous acquisition and lifecycle support, machine learning, digital twin prototypes, digital twin instances, digital twin aggregates, and digital twin environments. The review article examines digital twins for the most common machining processes, such as turning, milling, drilling, and grinding. This review also highlights the benefits and drawbacks, as well as the prospects for using digital twins in smart manufacturing.

Research on the impact mechanism of AI-driven supply chain creditworthiness assessment on commercial banks' credit policies for SMEs

2025-06-24

Feng Wu , Nusanee Meekaewkunchom , Chaiyawit Muangmee +1 more | Future Technology

This study investigates how AI-driven supply chain creditworthiness assessment transforms commercial banks' credit policies for small and medium-sized enterprises (SMEs), addressing the persistent SME financing gap through technological innovation. Using … This study investigates how AI-driven supply chain creditworthiness assessment transforms commercial banks' credit policies for small and medium-sized enterprises (SMEs), addressing the persistent SME financing gap through technological innovation. Using structural equation modeling, we analyzed data from 360 commercial banking professionals across China to test five hypotheses grounded in information asymmetry theory, relationship lending theory, group lending theory, and supply chain finance theory. SME credit status and core enterprise influence significantly impact bank credit policies (β = 0.285 and β = 0.317, p < 0.001), with AI-enhanced bank cognition serving as a partial mediator (indirect effects: β = 0.167 and β = 0.193, p < 0.001). Critically, AI assessment accuracy moderates these relationships, with higher-accuracy systems demonstrating stronger policy effects (β = 0.124 and β = 0.138, p < 0.001). AI fundamentally transforms SME credit evaluation by enhancing risk assessment accuracy, effectively leveraging supply chain relationships, and augmenting banks' cognitive capabilities. The moderating role of AI precision emphasizes the importance of technological sophistication for maximizing benefits. This research provides empirical evidence that AI-powered supply chain finance offers a viable solution to global SME financing constraints while maintaining robust risk management standards.

Дорожня карта цифрової трансформації бізнесу на прикладі підприємства з будівництва сонячних станцій

2025-06-24

Є. О. Діденко | Проблеми сучасних трансформацій Серія економіка та управління

У статті розглянуто науково-практичні засади формування дорожньої карти цифрової трансформації підприємства, що функціонує у сфері будівництва сонячних електростанцій. Обрана тематика є актуальною з огляду на глобальні тенденції переходу до цифрової … У статті розглянуто науково-практичні засади формування дорожньої карти цифрової трансформації підприємства, що функціонує у сфері будівництва сонячних електростанцій. Обрана тематика є актуальною з огляду на глобальні тенденції переходу до цифрової економіки, посилення кліматичних викликів, вимоги до енергетичної ефективності та екологічної сталості, а також зростаючу потребу у впровадженні сучасних технологічних рішень у виробничу та управлінську діяльність. У цьому контексті цифрова трансформація розглядається не лише як технологічне оновлення, а як глибока трансформація бізнес-моделі, організаційної культури, процесів прийняття рішень і взаємодії з ринковим середовищем. Метою дослідження є розроблення комплексної, поетапної та адаптивної дорожньої карти цифрової трансформації підприємства, яка ґрунтується на системному аналізі внутрішніх і зовнішніх чинників діяльності, оцінці цифрової зрілості, виявленні бар’єрів і проблемних зон, а також визначенні ефективних напрямів змін та інструментів їх реалізації. Методологічну основу дослідження становлять системний аналіз, SWOT-аналіз, елементи стратегічного менеджменту, а також методи моделювання цифрових трансформаційних процесів. У результаті сформовано структуру дорожньої карти цифрової трансформації, що включає п’ять взаємопов’язаних етапів: 1) діагностика цифрової зрілості підприємства; 2) стратегічне планування пріоритетних напрямів цифрових змін; 3) розробка інструментів і рішень; 4) визначення ресурсного забезпечення, ролей і термінів; 5) система моніторингу, контролю, коригування та масштабування. Особливу увагу приділено проблематиці впровадження змін в умовах обмежених фінансових, кадрових і організаційних ресурсів, а також питанням формування цифрових компетентностей працівників та підвищення гнучкості управлінських рішень. Практичне значення роботи полягає в можливості адаптації запропонованої дорожньої карти до потреб інших підприємств у сфері відновлюваної енергетики, зокрема тих, що перебувають на початкових етапах цифрової трансформації. Результати дослідження відкривають перспективи подальших наукових пошуків, пов’язаних із розробкою типових моделей цифрової трансформації для підприємств суміжних галузей, а також з вивченням впливу цифрових змін на сталість, інклюзивність і екологічну ефективність бізнесу.

Conceptual modelling method of multi-abstraction level digital twin based on extended RFLP model

2025-06-24

Chunlong Wu , Ao Cui | Journal of Engineering Design

Factors influencing the enhancement of the new iron triangle in healthcare organisations

2025-06-24

Albi Thomas , M. Suresh | Journal of Health Organization and Management

Purpose A new paradigm, “healthcare’s new iron triangle,” has been developed to emphasise the technological perspective of healthcare delivery, focusing on automation, value and empathy. The study aims to build … Purpose A new paradigm, “healthcare’s new iron triangle,” has been developed to emphasise the technological perspective of healthcare delivery, focusing on automation, value and empathy. The study aims to build a conceptual model and to identify factors for the enhancement of the new iron triangle in healthcare organisations. Design/methodology/approach The healthcare organisation is the primary focus point of the current study. To determine the factors, a survey of the literature and healthcare experts’ opinions was conducted. The healthcare professionals validated the identified factors. Data for this study were gathered using a closed-ended questionnaire and scheduled interviews. The study employed “Total Interpretive Structural Modeling methodology and Matriced’ Impacts Croise´s Multiplication Appliqué´ a UN Classement/Cross-Impact Matrix Multiplication Applied to a Classification (MICMAC) analysis” to address the “why” and “how” the factors interact and prioritise the identified factors. Findings The study found that organisational structure (F8), artificial intelligence (F1), innovation (F2) and human resources (F5) are the driving or key factors of the study. Research limitations/implications The study primarily focused on identifying factors for the enhancement of a new iron triangle in healthcare organisations. The scope could eventually be expanded to explore more areas. Practical implications Academics and other stakeholders will have a better understanding of the key drivers for the enhancement of the new iron triangle in healthcare organisations. Originality/value In this study, total interpretive structural modeling and cross-impact MICMAC analysis are proposed as an innovative approach to address the new iron triangle in healthcare organisations.

Expanding the Framework of Decisional Control in IPMN Management

2025-06-24

Kshitij Thakur , Marijeta Pekez | Pancreas

Systematic literature review on the evolution of human-machine collaboration in the workplace

2025-06-24

Firoz Mohammed Ozman | World Journal of Advanced Engineering Technology and Sciences

The inclusion of advanced technology within workplaces has significantly transformed human-machine collaboration. From the initial stage of industrial automation to the modern artificial intelligence-based decision-making process, business organizations have depended … The inclusion of advanced technology within workplaces has significantly transformed human-machine collaboration. From the initial stage of industrial automation to the modern artificial intelligence-based decision-making process, business organizations have depended heavily on machines to improve their accuracy, efficiency, and productivity. Human-machine collaboration has extended beyond basic automation, facilitating synergy where human and intelligent tools work together to perform complex tasks. The rapid development of artificial intelligence, machine learning and robotics has redefined job responsibilities and has reshaped workforce dynamics. It has been observed that though technology promises to provide efficiency gains, it has also pointed out specific concerns regarding ethical considerations, the evolving nature of the work environment and job displacement.

Development of Digital Twin for DC-DC Converters Under Varying Parameter Conditions

2025-06-24

Benjamin Jessie , Thor Westergaard , Babak Fahimi +1 more | Electronics

The constantly changing characteristics of sources, loads, and operating environments in microgrids aboard marine vessels warrant the need for the real-time and accurate transient state estimation of the various converters … The constantly changing characteristics of sources, loads, and operating environments in microgrids aboard marine vessels warrant the need for the real-time and accurate transient state estimation of the various converters used for power flow management. This paper presents the digital twin development for a parameter-varying non-isolated DC-DC buck (step down) converter to demonstrate the potential of circuit identification and state estimation within a single digital twin model. The digital twin will utilize individual and parameter-specific NARX-RNNs in a centralized model to identify and adapt system state predictions relative to the most current configuration of the buck converter. Additionally, the model’s ability to maintain state estimation accuracy in the presence of circuit component variation will be demonstrated through simulated deviations from nominal values, and model versatility will be shown through testing a simulation-based model on physical hardware. This modular model, which is demonstrated through simulation and experimentation, can be adapted and scaled for additional circuit configurations. It has the potential to be integrated into real-time system monitoring and fault detection systems within multi-converter microgrid environments.

Correction: Flourishing electronic textiles towards pervasive, personalized and intelligent healthcare (Soft Sci 2024; 10.20517/ss.2023.35)

2025-06-23

Feifan Sheng , Cheng Zhao , Bo Zhang +2 more | Soft Science

Digital transformation, ESG, and companies’ performance: an exploratory study of the European food sector

2025-06-23

Magdalena Marczewska , Scott W. Hegerty , R. D. Panwar +1 more | The Journal of Technology Transfer

Addressing Challenges for the Effective Adoption of Artificial Intelligence in the Energy Sector

2025-06-23

Chankook Park | Sustainability

The integration of artificial intelligence (AI) in the energy sector offers transformative potential but is hindered by a complex web of interconnected socio-technical challenges. The existing scholarship often addresses these … The integration of artificial intelligence (AI) in the energy sector offers transformative potential but is hindered by a complex web of interconnected socio-technical challenges. The existing scholarship often addresses these issues in isolation, lacking a practical framework to guide stakeholders through the complexities of responsible deployment. This study addresses this gap by conducting a systematic literature review to develop and propose an integrative, actionable governance framework. The proposed framework is built on four core principles: Trustworthiness, Sustainability, Equity, and Collaborative Adaptation. Crucially, it operationalizes these principles through a four-phased implementation process, a stakeholder-specific action matrix with measurable key performance indicators, and a set of critical success factors. By synthesizing diverse solutions—from technical standards for data and security to governance mechanisms for ethical oversight and workforce transition—into a structured, lifecycle-based approach, this study argues that moving beyond piecemeal fixes is essential for mitigating systemic risks. This framework provides a testable roadmap for future research and a practical guide for policymakers and industry leaders seeking to harness AI’s full potential in a sustainable, ethical, and inclusive manner.

Overall equipment efficiency module and losses using machine-to-machine connectivity for smart factory

2025-06-23

T. Narendra Reddy , Nachappa Pemmanda Ponnappa , Prakash Vinod +2 more | ISSS Journal of Micro and Smart Systems

Digital twin-based optimization of AGV scheduling under energy constraints in plant factories

2025-06-23

Dai Min , Yutian Shen , Weiting Liu +1 more | Journal of Cleaner Production

Driving Industry 4.0 Readiness in MSMEs: The Role of Leadership and Digital Infrastructure

2025-06-23

Muhammad Saqib Iqbal , Zulhasni Abdul Rahim , Qudrattullah Omerkhel +2 more

<title>Abstract</title> This study addresses a critical gap in understanding Industry 4.0 readiness among micro, small and medium enterprises (MSMEs) by examining how transformational leadership and digital infrastructure jointly influence readiness … <title>Abstract</title> This study addresses a critical gap in understanding Industry 4.0 readiness among micro, small and medium enterprises (MSMEs) by examining how transformational leadership and digital infrastructure jointly influence readiness in Malaysian MSMEs within the manufacturing and service sectors. Drawing upon transformational leadership theory, dynamic capabilities theory, and upper echelons theory, we propose and empirically validate the Leadership-Infrastructure Readiness Model (LIRM), using structural equation modelling (SEM) with data collected from 500 MSMEs. The results indicate that transformational leadership significantly improves industry 4.0 readiness directly (β = 0.453, p < 0.001), as well as indirectly through digital infrastructure (mediating effect β = 0.180, p < 0.001). Digital infrastructure contributes strongly independently to readiness (β = 0.448, p < 0.001), emphasising its critical enabling role. Additionally, the findings reveal higher levels of manufacturing readiness than service MSMEs, highlighting sector-specific challenges and opportunities. Theoretically, this research advances understanding of how leadership and digital capabilities synergise to shape MSME readiness for Industry 4.0, offering straightforward theoretical integration of previously fragmented concepts. Practically, the study informs MSME managers and policymakers on strategically prioritising leadership development and targeted investments in digital infrastructure, which are crucial to enhancing competitiveness and sustainable growth in the Asia-Pacific region.

A review of global reskilling and upskilling initiatives in the age of AI

2025-06-23

Ceylan Yangın Ersanlı , Ferdi Çelik , Hamed Barjesteh +2 more | AI and Ethics

A Digital Twin Modeling Method for the Full Lifecycle of Discrete Product

2025-06-23

Linbei Jiang , Shaohui Su , Changyong Chu +2 more | The International Journal of Advanced Manufacturing Technology

The Concept of the Business Model in Industry 5.0

2025-06-23

Bożena Gajdzik | CRC Press eBooks

FIT4HPC?—Accelerating digital transformation by supercomputing opportunities

2025-06-23

Sonja Nikolić , Luka Filipović , Tomi Ilijaš +1 more | The Journal of Supercomputing

Integrating Digital Twin Software Solutions with Collaborative Industrial Systems: A Comprehensive Review for Operational Efficiency

2025-06-23

David A. Guerra-Zubiaga , Murat Aksu , Gershom Richards +1 more | Applied Sciences

The integration of digital twin software solutions with industrial collaborative robotics applications has gained significant attention due to its potential to enhance operational efficiency in various industries. The authors of … The integration of digital twin software solutions with industrial collaborative robotics applications has gained significant attention due to its potential to enhance operational efficiency in various industries. The authors of this paper provide a comprehensive review of the literature, analyzing the benefits, challenges, and opportunities associated with this unification. The research methodology incorporates both quantitative and qualitative analyses of relevant scholarly articles, case studies, and industry reports. The study identifies research gaps and challenges, including data management, security, scalability, interoperability, and transitioning simulations to digital twins. To address these gaps, the authors explore published frameworks for effectively integrating digital twin software solutions with industrial collaborative robotics applications. An important challenge is to define some tools to develop a digital twin. This paper explores the tools implemented by other researchers to develop a digital twin. The findings of this research contribute to a deeper understanding of the combination of digital twins and collaborative robots, paving the way for improved operational efficiency and informed decision-making.

The Nexus Between Sustainability and Industry 5.0: A Hybrid Systematic Review and Future Research Agenda

2025-06-22

Maria Vincenza Ciasullo , Miriana Ferrara | Global Business and Organizational Excellence

ABSTRACT Industry 5.0 has emerged as a paradigm shift that pursues sustainability, intended as an economic, environmental, and social one. Researchers have been deepening Industry 5.0 and its sustainable implications, … ABSTRACT Industry 5.0 has emerged as a paradigm shift that pursues sustainability, intended as an economic, environmental, and social one. Researchers have been deepening Industry 5.0 and its sustainable implications, but they mostly adopted a single perspective (e.g., workplace, technological innovations, production processes), falling short in providing a holistic and comprehensive understanding of sustainability in Industry 5.0. Therefore, by conducting a systematic literature review, this study aims to present an updated overview of academic research about how Industry 5.0 can support sustainability at large and to articulate future research avenues. Methodologically, a bibliometric analysis is carried out, and the theory‐contexts‐characteristics‐methodology (TCCM) framework is employed to map the intercorrelations between sustainability and Industry 5.0. The findings indicate a remarkable expansion of research activities, which focused on manufacturing and developed countries. Concurrently, present research themes have emerged, which are mostly related to sustainable development. Finally, antecedents and related outcomes of sustainability in Industry 5.0 have been identified, theoretically offering an encompassing investigation of their interconnections at human, corporate, and societal levels. Managerially, the study deploys the value of Industry 5.0 to improve environmental performance and enhance workers’ well‐being.

Research on the Digital Twin System of Welding Robots Driven by Data

2025-06-22

Saishuang Wang , Yufeng Jiao , Lijun Wang +4 more | Sensors

With the rise of digital twin technology, the application of digital twin technology to industrial automation provides a new direction for the digital transformation of the global smart manufacturing industry. … With the rise of digital twin technology, the application of digital twin technology to industrial automation provides a new direction for the digital transformation of the global smart manufacturing industry. In order to further improve production efficiency, as well as realize enterprise digital empowerment, this paper takes a welding robot arm as the research object and constructs a welding robot arm digital twin system. Using three-dimensional modeling technology and model rendering, the welding robot arm digital twin simulation environment was built. Parent–child hierarchy and particle effects were used to truly restore the movement characteristics of the robot arm and the welding effect, with the help of TCP communication and Bluetooth communication to realize data transmission between the virtual segment and the physical end. A variety of UI components were used to design the human–machine interaction interface of the digital twin system, ultimately realizing the data-driven digital twin system. Finally, according to the digital twin maturity model constructed by Prof. Tao Fei’s team, the system was scored using five dimensions and 19 evaluation factors. After testing the system, we found that the combination of digital twin technology and automation is feasible and achieves the expected results.

Investigation of capillary tools to reinforce the decision-making capabilities for transforming SCM into smart supply chain management (SSCM)

2025-06-22

Sanju Kumar Nishad , Ashish Sahu , Atul Kumar Sahu +1 more | Modern Supply Chain Research and Applications

Purpose In the present study, a group of capillary tools are presented with the purpose to reinforce the decision-making (DM) capabilities of supply chain management (SCM) and to transform SCM … Purpose In the present study, a group of capillary tools are presented with the purpose to reinforce the decision-making (DM) capabilities of supply chain management (SCM) and to transform SCM into smart supply chain management (SSCM). Here, a bunch of DM tools are presented that can assist in providing thinking capabilities to multiple segments of the activities of supply chains (SCs). Design/methodology/approach In this study, the literature review is considered as a research methodology, where the main thrust of the methodology is to determine the capillary tools for SSCM design based foundation for reinforcing SCM activities. The study mapped the existing literature knowledge related with DM tools to present a surface picture of capillary tools that can provide self-thinking capabilities and DM power to SCM. In this study, a thorough investigation is presented to interpret the overall pictorial representation of SCM assets that can be managed by DM tools. Findings The findings of the study have admired the utility of various support tools, i.e. agent-based system (ABS), the genetic algorithm (GA), an expert system (ES), artificial neural network (ANN) system, big data (BD) techniques, deep learning and natural language processing (NLP) prominent to be implicated for handling and maintaining the diverse SCM activities. The study has described support tools that can be implemented under the domain of SCM to import self-thinking capabilities, induce decision-making power for SSCM, create alerts, inform companies about state of mismanagement, forecast true need of concerns and to lead in evading SC troubles. Originality/value The study originally presented SCM-related activities and mapped the appropriateness of capillary tool to be used to create an understand-ability about the importance of capillary tools for managerial solutions. The study originally provided a widespread impression of diverse DM capillary tools that can be used to handle widespread stream of SCM activities to make it more sustainable. In this study, discussions pertaining to various support tools are presented for estimating their potential and implementation in handling the accurate SCM activity, and the arguments are presented for building SSCM designs based on the need of capillary tool to handle SCM activity.

Strategic reflections on digital transformation, scientific literacy, and labor market development in the Eurasian Economic Union: Insights from the case of Kazakhstan

2025-06-22

Aigerim Ospanova , Ayaulym Mukhametzhan , Zhaslan Nurbayev +2 more | Iberoamerican Journal of Science Measurement and Communication

This article examines the digital transformation processes in the Eurasian Economic Union (EEU), focusing on Kazakhstan to explore the intersection of technological development, scientific literacy, and labor market evolution. Drawing … This article examines the digital transformation processes in the Eurasian Economic Union (EEU), focusing on Kazakhstan to explore the intersection of technological development, scientific literacy, and labor market evolution. Drawing on official documents, regional initiatives, and scholarly literature, the study analyzes national and supranational strategies that foster digital ecosystems, respond to workforce adaptation challenges, and promote citizen science and technology competencies. The analysis identifies key initiatives adopted by the EEU, including cross-border employment platforms, digital customs systems, and national education and cybersecurity strategies. It also evaluates these initiatives’ implications from socio-educational and economic perspectives. Particular attention is given to scientific and digital literacy, which is defined as the ability to critically engage with technological environments and scientific information in daily and professional life. The study argues that Kazakhstan’s digital agenda should prioritize inclusive access to infrastructure, reform the educational system toward competency-based learning, align workforce reskilling with scientific and digital competencies, and strengthen research and innovation ecosystems. In this context, the article formulates strategic guidelines for Kazakhstan and the EEU to ensure equitable, participatory, and scientifically grounded digital transformation processes. Ultimately, the study contributes to the broader debate on how emerging economies can align digital development with inclusive education and labor strategies, thereby reinforcing the role of scientific literacy as a structural component of sustainable digitalization.

Secure and Resilient Industrial IoT Architectures for Smart Manufacturing: A Comprehensive Review

2025-06-21

Ololade Funke Olaitan , Ogheneruemu Nathaniel Akatakpo , Osinachi Victor Chukwujama +4 more | Journal of Engineering Research and Reports

Smart manufacturing, driven by the Industrial Internet of Things (IIoT), is transforming real-time data sharing, predictive maintenance, and process automation. However, the increasing complexity and connectivity of IIoT environments present … Smart manufacturing, driven by the Industrial Internet of Things (IIoT), is transforming real-time data sharing, predictive maintenance, and process automation. However, the increasing complexity and connectivity of IIoT environments present significant security and resilience challenges that threaten operational safety, data integrity, and business continuity. This paper presents a comprehensive review of secure and resilient architectures for IIoT in smart manufacturing, highlighting the interaction between enabling technologies (e.g., edge computing, AI/ML, blockchain) and emerging threats in the cyber-physical environment. We explore vulnerabilities and attack surfaces and examine resilience strategies such as redundancy, fault tolerance, and self-healing capabilities that ensure ongoing operations despite disruptions. Key standards and best practices, including ISA/IEC 62443 and NIST frameworks, are evaluated for their effectiveness and limitations. Emerging trends—such as AI-driven proactive security, cyber-physical systems convergence, and green security initiatives—are discussed alongside open challenges and trade-offs in IIoT environments. Our analysis underscores the need for holistic, adaptive, and industry-specific solutions to enable secure and resilient IIoT architectures that foster innovation, productivity, and safety in the era of digital and connected factories.

Realising human-robot collaboration in manufacturing? A journey towards industry 5.0 amid organisational paradoxical tensions

2025-06-21

Tiziana C. Callari , Ylenia Curzi , Niels Lohse | Technological Forecasting and Social Change

İşletmelerde Dijital Dönüşümün İş Modelleri Üzerinde Etkisinin Değerlendirilmesi

2025-06-21

Zeynep Akkus | İktisadi ve İdari Yaklaşımlar Dergisi

Teknolojinin gelişmesiyle birlikte işletmelerde dijital dönüşüm süreci devam etmekte ve bu dönüşüm iş modelleri üzerinde önemli etkiler yaratmaktadır. Pazardaki işletmelerin farklılaşması, rekabeti artırırken iş modellerinin de değişmesine neden olmaktadır. Dijital … Teknolojinin gelişmesiyle birlikte işletmelerde dijital dönüşüm süreci devam etmekte ve bu dönüşüm iş modelleri üzerinde önemli etkiler yaratmaktadır. Pazardaki işletmelerin farklılaşması, rekabeti artırırken iş modellerinin de değişmesine neden olmaktadır. Dijital dönüşüm, işletmelerin organizasyon şemalarını, şirket uzak görüşlülük ve misyonlarını doğrudan etkilemektedir. Ayrıca; dijital dönüşüm kavramının, işletmenin tüm birimlerini kapsadığı değerlendirilmekte olup, aynı zamanda analitik ve okunabilir yetkinliklerin kazanılmasını sağladığı da öngörülmektedir. İşletmelerde manuel süreçlere dayalı iş modelleri, son yıllarda teknolojinin gelişmesiyle birlikte dijital sürece geçiş yapmıştır. İş modellerinin özelleştirilmiş bir yapıya sahip olması, işletmelerin pazardaki rekabet gücünü artırmada önemli bir rol oynamaktadır. Dijital dönüşüm sürecini başarıyla tamamlayan işletmeler, rekabet avantajlarını güçlendirmiştir. Bu araştırmada, işletmelerde dijital dönüşümün iş modelleri üzerindeki etkisi incelenmiştir. Veriler, kartopu örneklem yöntemi kullanılarak gerçekleştirilen nitel bir çalışma kapsamında elde edilmiştir. Araştırmaya; gıda, sağlık, tekstil ve perakende sektörlerinde çalışanlar dahil edilmiştir.. Elde edilen veriler, MAXQDA 2020 Analytics Pro programına aktarılmış ve analiz edilmiştir. Bu çalışma, işletmelerde dijital dönüşüm sürecinin iş modelleri üzerindeki etkisini inceleyerek temel stratejik noktaları belirlemeyi amaçlamaktadır.

Supply Chain Digitization: Current Status, Challenges and Future Trends

2025-06-20

Chen Shen , Zhaopeng Cui | Scientific journal of economics and management research.

In the report of the 20th National Congress of the Communist Party of China, it was mentioned that "efforts should be made to improve the resilience and security level of … In the report of the 20th National Congress of the Communist Party of China, it was mentioned that "efforts should be made to improve the resilience and security level of the industrial chain supply chain" and "accelerate the construction of digital China", emphasizing the need to strengthen the digitization and information construction of the logistics supply chain, promote the development of the digital economy, and create intelligent and high-quality supply chain services, which pointed out the direction for the development of the supply chain. At present, the coordination and optimization of supply chain is the key to improve enterprise performance. It is of great practical significance to study how to ensure the stable operation of supply chain. This paper focuses on the current situation of supply chain digitization, discusses the possible challenges of supply chain digitization, and analyzes the future development trend of supply chain digitization. The research work provides some reference value for the majority of scholars and enterprise supply chain managers, and provides some research ideas for the future supply chain digital reform.

Research on Employee Innovation Ability in Human–Machine Collaborative Work Scenarios—Based on the Grounded Theory Construct of Chinese Innovative Enterprises

2025-06-20

Baorong Guo , Xiaoning Liu , Shuai Liao +1 more | Behavioral Sciences

Against the backdrop of the booming digital economy, innovation has emerged as the core driving force for enterprise development, with employees’ innovative capabilities serving as a key competitive advantage for … Against the backdrop of the booming digital economy, innovation has emerged as the core driving force for enterprise development, with employees’ innovative capabilities serving as a key competitive advantage for innovative enterprises. Adopting grounded theory as the methodological framework, we obtain multi-source data to investigate the factors influencing employees’ innovative capabilities and their underlying mechanisms. Furthermore, we develop a theoretical model elucidating the formation mechanism of employees’ innovative capabilities in human–machine collaboration contexts, identifying four core dimensions—innovation drivers, human–AI collaboration patterns, knowledge conversion pathways, and technological breakthroughs—that dominantly shape these capabilities. Thus, we reveal that the formation of innovative capabilities constitutes a dynamic interplay of technology empowerment, cognitive restructuring, and collaborative reinforcement and demonstrate its spiral progression characterized by “triggering, collaboration, and iteration”. This research not only contributes to academic discourse but also offers actionable theoretical and practical insights for innovative enterprises to enhance employees’ innovative capabilities, thereby fostering sustainable development in global competition.

DIGITALIZATION AS A DRIVING FORCE OF ORGANIZATIONAL TRANSFORMATIONS / ԹՎԱՅՆԱՑՈՒՄԸ՝ ՈՐՊԵՍ ԿԱԶՄԱԿԵՐՊՉԱԿԱՆ ՎԵՐԱՓՈԽՈՒՄՆԵՐԻ ՇԱՐԺԻՉ ՈՒԺ

2025-06-20

Hasmik Noravyan | Deleted Journal

In the 21st century, digitalization plays a significant role in the transformation of organizations, stimulating innovative developments and increasing competitiveness. The active use of digital technologies changes business models, management … In the 21st century, digitalization plays a significant role in the transformation of organizations, stimulating innovative developments and increasing competitiveness. The active use of digital technologies changes business models, management mechanisms and organizational structures, making companies more flexible and competitive. This article discusses the impact of digitalization on organizational transformations, highlighting it as a strategic tool that stimulates innovation, increases productivity and optimizes business processes, analyzing their impact on management, operations, marketing and human resources. Innovative technologies such as artificial intelligence, big data and automation systems that are becoming key components of digital transformation are analyzed. In addition, the challenges of digitalization are examined, including the need to modernize the skills of the workforce, issues of data protection and cybersecurity, as well as the need for investment. Successful examples of digital transformation are presented, highlighting best practices that can help organizations overcome obstacles to digitalization. The article concludes by proposing strategic approaches that will help organizations more effectively use digital technologies, ensuring sustainable growth and long-term competitiveness.

Effective Automation to Support the Human Infrastructure in AI Red Teaming

2025-06-20

Alice Qian Zhang , Jina Suh , Mary L. Gray +1 more | interactions

This forum focuses on the conditions and futures of the labor underpinning technology production and maintenance. We welcome standalone articles as well as interviews and conversations about all tech labor … This forum focuses on the conditions and futures of the labor underpinning technology production and maintenance. We welcome standalone articles as well as interviews and conversations about all tech labor within the global supply chain of digital technologies. --- Seyram Avle and Sarah Fox, Editors

Knowledge-Driven Innovation: Leveraging Digital Twins, Internet of Things, and AI for Cross-Cultural Fashion Design and Production between China and South Africa

2025-06-20

Yan Wang , Hongcai Chen , X. Feng +2 more | International Journal of High Speed Electronics and Systems

This study investigates the implementation of an AI-driven digital twin technology platform for cross-border fashion design and production by using IoT technology, focusing on collaboration between China and South Africa … This study investigates the implementation of an AI-driven digital twin technology platform for cross-border fashion design and production by using IoT technology, focusing on collaboration between China and South Africa in digital print fashion. The research tracks flows using IoT technology (detailed in Sec. 3.2.X) and evaluates the platform’s functionality, performance, and user experience through comprehensive testing involving designers and business representatives from both countries. The system demonstrated exceptional functionality success rates and maintained low latency under high-load conditions, indicating its robustness and scalability. User feedback revealed high satisfaction rates, with the majority of designers praising the intuitive interface and most business owners approving the decision support function. Case studies of cross-border projects showed substantial improvements in design innovation, production efficiency, and cost reduction. The platform’s capacity to enable near-real-time cooperation, analysis of cultural sensitivity, and optimization of manufacturing positions it as a potentially revolutionary influence in the worldwide fashion business. Also, combined with Internet of Things technology, it realizes intelligence and efficiency from design concept to production process. However, the study also identified areas for improvement and the need for long-term impact assessment. This research contributes to understanding how AI and digital twin technologies can address challenges in cross-border fashion collaboration, offering insights for both theoretical advancement and practical application in the industry.

The route towards green transformation: Mechanism of clean production enabled by enterprise digitization

2025-06-20

Yurong Wang , Zeyang Chai , Xinjie Zhu | Energy Reports