Engineering › Safety, Risk, Reliability and Quality

Evaluation and Optimization Models

Works Count: 60980

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Description

This cluster of papers focuses on the comprehensive assessment of safety in energy and infrastructure, covering topics such as coal mine safety, power system risk evaluation, supply chain management, traffic safety assessment, and fault diagnosis using neural networks and fuzzy methods.

Keywords

Safety Assessment; Neural Network; Risk Evaluation; Supply Chain; Power System; Fuzzy Method; Traffic Safety; Fault Diagnosis; Coal Mine; Data Mining

The Theory and Practice of Chain Price Index Numbers

1981-01-01

F. G. Forsyth , R. F. Fowler

A Fuzzy Multi-criteria Decision Making Model for the Selection of the Distribution Center

2005-01-01

Hsuan-Shih Lee

Progress on a Simplified Model of Stationary Purchasing Behaviour

1976-01-01

Christopher Chatfield , A. S. C. Ehrenberg , G. J. Goodhardt

Research on project selection system of pre-evaluation of engineering design project bidding

2008-11-22

Jin Wang , Yujie Xu , Zhun Li

Decision support analysis for safety control in complex project environments based on Bayesian Networks

2012-12-08

Limao Zhang , Xianguo Wu , Lieyun Ding +2 more

Environmental evaluation for sustainable development of coal mining in Qijiang, Western China

2009-11-25

Hu Si , Haipu Bi , Xiaohong Li +1 more

A online credit evaluation method based on AHP and SPA

2008-11-09

Ying-Tao Xu , Ying Zhang

Risk assessment of urban network planning in china based on the matter-element model and extension analysis

2011-02-05

Yongxiu He , Ai-ying Dai , Jiang Zhu +2 more

Scenario Planning at Southern California Edison

1989-10-01

Fred Mobasheri , Lowell H. Orren , Fereidoon P. Sioshansi

After a review of its forecasting record for the prior two decades, Southern California Edison Company became convinced that traditional forecasting methods were inadequate, and it adopted the techniques of … After a review of its forecasting record for the prior two decades, Southern California Edison Company became convinced that traditional forecasting methods were inadequate, and it adopted the techniques of scenario planning to develop its resource plan. Scenarios were created, their implications were evaluated, and strategic responses were developed.

Fuzzy Comprehensive Evaluation Method Applied in the Real Estate Investment Risks Research

2012-01-01

Zhang Ml , Yang Wp

Real estate investment is a high-risk and high returned of economic activity, the key of real estate analysis is the identification of their types of investment risk and the risk … Real estate investment is a high-risk and high returned of economic activity, the key of real estate analysis is the identification of their types of investment risk and the risk of different types of effective prevention. But, as the financial crisis sweeping the world, the real estate industry also faces enormous risks, how effective and correct evaluation of real estate investment risks becomes the multitudinous scholar concern[1]. In this paper, real estate investment risks were summarized and analyzed, and comparative analysis method is discussed and finally presented fuzzy comprehensive evaluation method, not only in theory has the advantages of science, in the application also has the reliability, for real estate investment risk assessment provides an effective means for investors in real estate investing guidance on risk factors and forecasts.

Application of ANP in process models: An example of strategic partnering

2005-09-10

Eddie W.L. Cheng , Heng Li

Application of Analytical Hierarchy Process in Operations Management

1990-03-01

Fariborz Y. Partovi , Jonathan Burton , Avijit Banerjee

The use of Analytical Hierarchy Process (AHP) is an effective way to deal with qualitative decision areas of operations management. Four published applications of AHP are briefly reviewed in forecasting, … The use of Analytical Hierarchy Process (AHP) is an effective way to deal with qualitative decision areas of operations management. Four published applications of AHP are briefly reviewed in forecasting, supplier selection, facility location, and choice of technology. Furthermore, four more potential applications are suggested in other areas of operations management, including product design, plant layout, maintenance frequency selection, and choice of logistic carrier. In addition, suggestions for other areas of research are discussed.

The analysis of multidimensional contingency tables when some variables are posterior to others: a modified path analysis approach

1973-04-01

Leo A. Goodman

Models and methods for analyzing the relations among a set of polytomous variables, when some of the variables are posterior to others, are presented. The techniques proposed here yield 'path … Models and methods for analyzing the relations among a set of polytomous variables, when some of the variables are posterior to others, are presented. The techniques proposed here yield 'path diagrams' that are somewhat analogous to those used in path analysis. Earlier path analysis models are not suited to the case where the variables are polytomous, or dichotomous, but the models proposed herein are. For each of our models, methods are presented for (a) testing whether the model fits the data, (b) partitioning the test statistic into components that can be used to test submodels within the overall model, and (c) estimating the parameters in the model. An illustrative application is also included.

Application of the Entropy Weight and TOPSIS Method in Safety Evaluation of Coal Mines

2011-01-01

Xiangxin Li , Wang Kong-sen , Liu Li-wen +3 more

In this paper, evaluation index system of coal mine safety is established on the basis of the SMART principles. Weights of indexes are determined by means of entropy weight method. … In this paper, evaluation index system of coal mine safety is established on the basis of the SMART principles. Weights of indexes are determined by means of entropy weight method. Safety conditions in four coal mines are applied by used of TOPSIS and the method is compared with other evaluation methods. The case study shows that the method is simple and clear, the evaluation results are reliable which are more coincident with the reality. So the method should be promoted widely in safety evaluation of coal mines.

Fuzzy comprehensive assessment, fuzzy clustering analysis and its application for urban traffic environment quality evaluation

1998-01-01

Yang Tao , Xinmiao Yang

An evaluation of maintenance strategy using risk based inspection

2011-02-27

Zhaoyang Tan , Jianfeng Li , Zongzhi Wu +2 more

Continuous wavelet transform and its application to resolving and quantifying the overlapped voltammetric peaks

2001-12-01

Lei Nie , Shouguo Wu , Jianwei Wang +3 more

Awards of excellence in institutions of higher education: an AHP approach

2004-06-01

Masood Badri , MOHAMMED ABDULLA

This paper examines how institutions of higher education might operationalize faculty performance evaluation in terms of research, teaching, and university and community service. An analytic hierarchy process model is developed … This paper examines how institutions of higher education might operationalize faculty performance evaluation in terms of research, teaching, and university and community service. An analytic hierarchy process model is developed and presented, allowing decision makers to couple performance evaluation and academic reward/awards and recognitions offered by institutions of higher education, and provides an objective way to compare faculty members. Weights are provided for each of the criteria in the evaluation process for a more objective outcome. Reward/award systems might include promotion decisions, merit pay, tenure, long‐term contracts, and annual reward/awards of excellence in research, teaching or service. The model might be used to make judgment on the qualification of candidates for such systems, and could be used on the department level, college level, or university‐wide level. In addition, the model could rank faculty members within each discipline or major. An illustrative example is provided of the model at the United Arab Emirates University.

Application of Earned Value Method to Progress Control of Construction Projects

2014-01-01

A. Czemplik

Earned Value Method (EVM) is the efficient and well known tool for project management. Application of the method together with complementary - dedicated for EVM - known approaches, make the … Earned Value Method (EVM) is the efficient and well known tool for project management. Application of the method together with complementary - dedicated for EVM - known approaches, make the method well adjusted for use on dynamic and multidisciplinary construction site. The concept of Schedule Forecast Indicator to be used as the addition to EVM has been developed to support site managerial decisions concerning variation orders.

Subjective estimation of the delay time distribution in maintenance modelling

1997-06-01

Weiqiu Wang

Market-based supplier selection with price, delivery time, and service level dependent demand

2013-07-26

Qian Li

An integrated regression analysis and time series model for construction tender price index forecasting

2004-06-01

S. Thomas Ng , Sai On Cheung , Martin Skitmore +1 more

Abstract Clients need to be informed in advance of their likely future financial commitments and cost implications as the design evolves. This requires the estimation of building cost based on … Abstract Clients need to be informed in advance of their likely future financial commitments and cost implications as the design evolves. This requires the estimation of building cost based on historic cost data that is updated by a forecasted Tender Price Index (TPI), with the reliability of the estimates depending significantly on accurate projections being obtained of the TPI for the forthcoming quarters. In practice, the prediction of construction tender price index movement entails a judgemental projection of future market conditions, including inflation. Statistical techniques such as Regression Analysis (RA) and Time Series (TS) modelling provide a powerful means of improving predictive accuracy when used individually. An integrated RA‐TS model is developed and its predictive power compared with the individual RA or TS models. The accuracy of the RA‐TS model is shown to outperform the individual RA and TS models in both one and two‐period forecasts, with the integrated RA‐TS model accurately predicting (95% confidence level) one‐quarter forecasts for all the 34 holdout periods involved, with only one period not meeting the confidence limit for two‐quarter forecasts. Keywords: Cost estimateintegrated forecasting modeltender price index forecasttime series modellingregression analysis Notes Author for correspondence. E‐mail: [email protected] Additional informationNotes on contributorsS. Thomas NgFootnote Author for correspondence. E‐mail: [email protected]

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A neural network approach for assessing quality in technical education: an empirical study

2007-01-01

S.S. Mahapatra , Mohammed Sadique Khan

The diverse nature of requirements of stakeholders in a Technical Education System (TES) makes it extremely difficult to decide on what constitutes quality. Hence, identification of common minimum quality items … The diverse nature of requirements of stakeholders in a Technical Education System (TES) makes it extremely difficult to decide on what constitutes quality. Hence, identification of common minimum quality items suitable to all stakeholders will help to design the system and thereby improve customer satisfaction. To address this issue, a measuring instrument known as EduQUAL is developed and an integrative approach using neural networks for evaluating service quality is proposed. The dimensionality of EduQUAL is validated by factor analysis followed by varimax rotation. Four neural network models based on back-propagation algorithm are employed to predict quality in education for different stakeholders. This study demonstrated that the P-E gap model is found to be the best model for all the stakeholders. Sensitivity analysis of the best model for each stakeholder was carried out to appraise the robustness of the model. Finally, areas of improvement were suggested to the administrators of the institutions.

Extensions of the analytic hierarchy process in fuzzy environment

1992-12-01

Ruoning Xu , Xiaoyan Zhai

Long-range earthquake forecasting based on a single predictor

1979-10-01

David A. Rhoades , F. F. Evison

For a long-term predictor from which a joint distribution of earthquake occurrence time and magnitude has been obtained, and also a record of past successes, false alarms and failures, Bayesian … For a long-term predictor from which a joint distribution of earthquake occurrence time and magnitude has been obtained, and also a record of past successes, false alarms and failures, Bayesian statistical methods yield predictive information of the kind needed as a basis for decision-making on precautionary measures. The information is presented in terms of risk refinement, intensity probability and success probability. After the event the relative likelihood that a prediction was a success or failure can be estimated. Comparisons can also be made of the performance of different forecasting models. The application of these methods is illustrated by an example based on the proposed swarm-magnitude predictor.

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Improved AHP Method and Its Application in Risk Identification

2013-02-26

LI Feng-wei , Kok‐Kwang Phoon , Xiuli Du +1 more

The analytic hierarchy process (AHP) approach has been widely used in multicriteria decision making (MCDM). It is very difficult to meet the consistency requirement of a comparison matrix (CM) in … The analytic hierarchy process (AHP) approach has been widely used in multicriteria decision making (MCDM). It is very difficult to meet the consistency requirement of a comparison matrix (CM) in AHP. The authors analyze the reasons for inconsistent CM in AHP and propose an improved AHP (IAHP) to improve CM consistency by using a sorting and ranking methodology. The results of comparing AHP with IAHP by MATLAB simulation show that IAHP is more suitable for solving MCDM problems when the number of elements or factors is 5 or more in MCDM. A case study is presented to illustrate the performance of IAHP when applied to risk identification during an open-cut subway construction. The application results show that IAHP is superior to AHP in terms of CM consistency, information extraction effectiveness, and convenience in practical implementation.

Selection of Logistics Outsourcing Service Suppliers Based on AHP

2012-01-01

Jianliang Peng

The good choice of service suppliers is the key to success in logistics outsourcing. Based on the analysis of the characteristics of logistics outsourcing industry, the evaluation index system including … The good choice of service suppliers is the key to success in logistics outsourcing. Based on the analysis of the characteristics of logistics outsourcing industry, the evaluation index system including logistics cost, the logistics operation efficiency, the basic qualities of service suppliers and logistics technology level has more targeted and practicability. In this paper the evaluation and selection of logistics outsourcing service suppliers carried out based on AHP and studied an actual case. It provides a reference for an enterprise to choose logistics outsourcing service suppliers.

Using Hybrid Model to Evaluate Performance of Innovation and Technology Professionals in Marine Logistics Industry

2015-01-01

QU Qun-zhen , Kuan‐Yu Chen , Yu-Min Wei +3 more

With the development of marine logistics industry to grow, the government and corporate more and more attach importance to the performance evaluation of innovation and technology professionals. Combine the characteristics … With the development of marine logistics industry to grow, the government and corporate more and more attach importance to the performance evaluation of innovation and technology professionals. Combine the characteristics of marine logistics industry and innovative technology professionals to design a performance evaluation index of marine logistics industry in innovation and technology professionals, with the Analytic Hierarchy Process (AHP) to determine the weights of the various performance indicatorsf and through the establishment of fuzzy comprehensive evaluation model to make the problems of complex performance evaluation quantification and then come to their performance evaluation results, and provide reference methods and recommendations for innovation and technology professionals in performance evaluation theory and practice of marine logistics industry.

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An application of nonlinear fuzzy analytic hierarchy process in safety evaluation of coal mine

2016-03-01

Qiaoxiu Wang , Hong Wang , Zuoqiu Qi

Research on Credit Card Fraud Detection Model Based on Class Weighted Support Vector Machine

2011-01-31

Qibei Lu , Chunhua Ju

To deal with credit card fraud, a detection model based on Class Weighted Support Vector Machine was established. Due to large-scale and high dimensions of data, Principal Component Analysis (PCA) … To deal with credit card fraud, a detection model based on Class Weighted Support Vector Machine was established. Due to large-scale and high dimensions of data, Principal Component Analysis (PCA) was adopted firstly to screen out the main factors from a great deal of indicative attributes in order to reduce the training dimension of SVM effectively. Then according to the characteristics of credit card transactions data which are imbalance, an improved SVM--Imbalance Class Weighted SVM (ICW-SVM) was adopted. With the application and verification in real dataset from bank, it is demonstrated that this model is more suitable for solving credit card fraud detection problem with higher precision and effective than others.

A Method of Fault Diagnosis Based on Unascertained Set

2004-01-01

Kai Liu

On construction project management

2009-01-01

Cao Yu-lia

According to questions frequently encountered in construction enterprises,which caused by improper cooperation between various disciplinary teams influencing the construction quality and construction progress,through investigation analysis the relationships among development unit,design … According to questions frequently encountered in construction enterprises,which caused by improper cooperation between various disciplinary teams influencing the construction quality and construction progress,through investigation analysis the relationships among development unit,design unit and construction unit as well as relationships between various disciplinary teams are discussed,in order to create economic,applicative and beautiful building products.

A Ranking Approach for Interval Numbers in Uncertain Multiple Attribute Decision Making Problems

1999-01-01

Quan Zhang

Customer Response Behavior in Time-of-Use Price

2012-01-01

Yang Sheng-chun

On the basis of customer response model for time-of-use(TOU) price,which was built based on the principle of consumer psychology,to meet the requirement during the drafting of TOU price to accurately … On the basis of customer response model for time-of-use(TOU) price,which was built based on the principle of consumer psychology,to meet the requirement during the drafting of TOU price to accurately grasp the demand of customer response characteristic a parameter identification model of customer responsivity curve was built by weighted least square method;it was pointed out that the acquisition of genuine customer responsivity curve was a repeatedly revising process by use of historical data and the problem of processing inflection points in piecewise linearized responsivity curve was solved;for customers to which the implementations of TOU price were different,the process of real-time simulation of customer response behavior in TOU price was drafted,and both effectiveness and advantage of the proposed model were verified by actual load data of a certain industrial customer.

Study and Applications of Analytic Hierarchy Process

2008-01-01

Jinyu Guo

AHP (analytic hierarchy process), as a comprehensive safety evaluation method combining qualitative and quantitative analysis, has been used in many fields of safety and environmental science. The applications of AHP, … AHP (analytic hierarchy process), as a comprehensive safety evaluation method combining qualitative and quantitative analysis, has been used in many fields of safety and environmental science. The applications of AHP, improved AHP, FAHP (fuzzy AHP), improved FAHP and gray AHP in safety and environmental science were analyzed, summarized and prospected. The major factors affecting the work of occupational hazard supervision were analyzed. Considering the advantages that AHP can decompose the complex issues and provide the scientific basis for the choice of optimal decisions, it was proposed to use AHP in the fields of occupational hazard supervision.

CAPITAL STOCK ESTIMATES IN CHINESE MANUFACTURING BY PERPETUAL INVENTORY APPROACH

2002-02-10

Yongfeng Huang , Ren Ruo-en , Xiaosheng Liu

KLEMS project is a long-term effort to construct the international comparable database including output,prices,PPPs,labor inputs,capital inputs,energy inputs and intermediate inputs to pursue the international comparison of productivity cross the countries … KLEMS project is a long-term effort to construct the international comparable database including output,prices,PPPs,labor inputs,capital inputs,energy inputs and intermediate inputs to pursue the international comparison of productivity cross the countries based on Jorgenson's approach.The paper reports the effort to build up Chinese capital stock time series in manufacturing by sectors for 1980—1995 by perpetual inventory approach in the KLEMS framework.Assumptions and adjustments applied unavoidably in our study were discussed.

Analysis of Urban Road Traffic Network Based on Complex Network

2016-01-01

Tian Zhao , Limin Jia , Honghui Dong +2 more

Urban road traffic is a typical network. The analysis and study of the topology structure is the basis of the traffic state evaluation and the traffic organization optimization. This paper … Urban road traffic is a typical network. The analysis and study of the topology structure is the basis of the traffic state evaluation and the traffic organization optimization. This paper redefines the urban road traffic weighted network model with considering the functional properties of urban road network and presents the traffic efficiency concept of the road section in the urban road traffic network. According to the different edge weights which are determined by the different attribute of the edges, we analyses the statistical characteristic of the urban road traffic network based on the three different network models which include the length weighted network model, the traffic capacity weighted network model and the traffic efficiency weighted network model. We take Beijing road traffic network as an example to illustrate the effectiveness of the analysis methods for the structural characteristics.

Application of set pair analysis method on occupational hazard of coal mining

2016-09-29

Tan Chong , Song Yi , Che Heng

Research on optimal decision-making of cloud manufacturing service provider based on grey correlation analysis and TOPSIS

2019-04-15

Yanjuan Hu , Lizhe Wu , Chao Shi +2 more

It is of great practical significance to optimise the decision-making of cloud manufacturing service providers, which can ensure the efficient operation of the cloud manufacturing services. In order to effectively … It is of great practical significance to optimise the decision-making of cloud manufacturing service providers, which can ensure the efficient operation of the cloud manufacturing services. In order to effectively optimise, this paper constructs the evaluation index system, sorts out 7 important evaluation indexes. A method is proposed on the basis of the TOPSIS method and Grey Correlation Analysis (GRA), which is a decision-making method combining static distance and dynamic trend, and make the evaluation results more reasonable. In addition, in order to reflect the true weight of the high dimensional index, the evaluation model of projection pursuit index is established. The improved Particle Swarm Optimisation (PSO) algorithm is used to optimise the projection index function and model parameters, and to obtain the objective weights of evaluation indexes. Then the objective weights combine with the subjective weights obtained by the Analytic hierarchy process (AHP), which makes the weights of the evaluation indexes achieve the unity of subjective and objective. Finally, 20 sets of simulation examples are given to illustrate the feasibility and effectiveness of the proposed method.

Research on the application of the financial investment risk appraisal models with some interval number muirhead mean operators

2019-06-11

Rui Wang

In this article, we expand the Muirhead mean (MM) operator and dual Muirhead mean (DMM) operator with positive interval numbers (PINs) to propose the interval numbers MM (INMM) operator, interval … In this article, we expand the Muirhead mean (MM) operator and dual Muirhead mean (DMM) operator with positive interval numbers (PINs) to propose the interval numbers MM (INMM) operator, interval numbers weighted MM (INWMM) operator, interval numbers DMM (INDMM) operator and interval numbers weight ed DMM (INWDMM) operator. Then the MADM models are proposed with INWMM and INWDMM operators. Finally, we give a real example for evaluating the financial investment risk.

Risk assessment of knowledge fusion in an innovation ecosystem based on a GA-BP neural network

2020-12-16

Lin Wang , Xinhua Bi

Computer science and statistics

1967-01-01

Study on effectiveness evaluation of weapon systems based on grey relational analysis and TOPSIS

2009-01-01

Gu , Hui , Song +1 more

Probability Analysis of Construction Risk based on Noisy-or Gate Bayesian Networks

2021-08-21

Chenyi Ji , Xing Su , Zhongfu Qin +1 more

Data-driven accident consequence assessment on urban gas pipeline network based on machine learning

2021-11-20

Yang Yang , Suzhen Li , Pengcheng Zhang

The Theory and Practice of Disaggregate Demand Forecasting for Various Modes of Urban Transportation

2005-11-01

Daniel McFadden

IMPROVED METHOD OF GROUPING PROVINCEWIDE PERMANENT TRAFFIC COUNTERS

1981-01-01

Satish C. Sharma , A Werner

An improved method of grouping provincewide permanent traffic counters on the basis of their seasonal variation in traffic flows is proposed. The method uses two standard procedures: (a) hierarchical grouping, … An improved method of grouping provincewide permanent traffic counters on the basis of their seasonal variation in traffic flows is proposed. The method uses two standard procedures: (a) hierarchical grouping, which is one of a variety of clustering techniques, and (b) Scheffe's S-method of multiple group comparisons. The proposed method has several advantages over existing grouping methods, which are largely subjective and manual in nature. The new method is simple, objective, computer-oriented, and statistically credible. In addition, application of the method to Alberta's traffic-counter data indicates that the method is rational for such considerations as trip purpose and trip-length distribution. It is believed that this technique can lead highway agencies to a better understanding of the functional classification of their road systems and help them to develop improved seasonal expansion procedures for estimating average annual daily traffic from sample traffic counts. Finally, the new method has implications for a standard functional classification of roads on a provincial and natioal basis. It is hoped that such a classification can lead to an overall consistency in the planning and design of roads for both safety and economy purposes. (Author)

Intelligent building construction site safety inspection model based on YOLOX

2025-06-17

Hairong Huang , Lian Yuan , Huiji Wang +1 more | Archives of Civil Engineering

The construction industry is a high-risk and high accident rate industry, and it is crucial to conduct safety inspections on construction sites. Therefore, the study introduces an improved YOLOX algorithm … The construction industry is a high-risk and high accident rate industry, and it is crucial to conduct safety inspections on construction sites. Therefore, the study introduces an improved YOLOX algorithm and performs lightweight processing such as replacing the backbone network and pruning channels. At the same time, the optimized YOLOX algorithm will be applied to the construction of a model for safety detection in intelligent building construction sites. Results showed that the improved model proposed in the study had the best inference speed and average accuracy, with an average accuracy of 95.01%. In the experimental analysis under different detection categories, the model proposed in the study had the highest detection accuracy for whether to wear a safety helmet, with an accuracy rate of 96.39%, which was 10.05% higher than the YOLOX model. At the same time, the accuracy of the model in detecting whether to wear welding masks, masks, and welding gloves was as high as 92.37%, 94.49%, and 94.61%, respectively. In addition, the recall rate of the model proposed by the research institute in helmet wearing detection was as high as 95.48%. The improved model proposed by the research institute has performed well in safety inspection of construction sites, not only possessing high-speed processing capabilities but also high-precision detection performance, providing reliable technical support for real-time monitoring and early warning of intelligent building construction.

Research on the resilience of urban bus networks based on Bayesian networks

2025-06-16

Mingxia Gao , Yu Bai , Wanli Xiang +1 more | International Conference on Frontiers of Traffic and Transportation Engineering (FTTE 2022)

Electric bicycle-motor vehicle conflict assessment method based on maximum remaining reaction time

2025-06-16

Chengyuan Mao , Yiwen Huang , Fei Lei +4 more | International Conference on Frontiers of Traffic and Transportation Engineering (FTTE 2022)

ANALYSIS ON REWARD MANAGEMENT STRATEGIES

2025-06-15

Sakshi Maskara Sakshi Maskara | INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT

Abstract A reward system is in place to encourage staff members to strive toward accomplishing strategic objectives that are established by organizations. Pay and employee perks (monetary rewards) are not … Abstract A reward system is in place to encourage staff members to strive toward accomplishing strategic objectives that are established by organizations. Pay and employee perks (monetary rewards) are not the primary aspects of reward management. Non-monetary benefits like recognition, training, development, and more responsibility at work are as important to it. This study evaluated the incentive management strategies utilized by Commercial Bank of Ethiopia with an emphasis on employee perceptions in an effort to evaluate the strategies currently employed by the organization to recruit and retain staff. The descriptive research method was applied in order to achieve this. Based on the goals, questionnaires, unstructured interviews, and document reviews were created. Analysis is up. Cluster sampling was utilized in the study to send 99 questionnaires to CBE employees, all of whom lied and returned them. The completed survey was processed and examined using textual summaries, tables, graphs, and pie charts. The study's conclusions demonstrated the use of reward management systems. Responses were gathered based on respondents' evaluations of the bank's overall incentive management procedures as well as equity, transparency, consistency, and alignments. The Statistical Package for Social Sciences (SPSS) was used to examine the data. Financial incentives make up the majority of the company's reward program. Additionally, the data indicate that the respondents considered the company's compensation system was unfair and unjust. When workers perform better, they prefer to be asked what they need most. The organizational culture of the corporation is similar to that of a restrictive organization. Last but not least, a lack of prior experience in conducting systematic research, a lack of awareness in our society to distribute questionnaires carefully and return them on time, and the lack of previous works on the topic in the Ethiopian context will all have an impact on the study's findings and necessitate the involvement of additional researchers to demonstrate the study's reliability.

Risk Assessment Method of Railway Engineering Technology Innovation in Complex Areas

2025-06-14

Yuefeng Shi , Shiyu Tian , Yongjun Chen +3 more | Mathematics

Extreme climatic conditions and active geological factors posed challenges in evaluating disaster risk trends in railway construction projects and identifying key influencing factors. Traditional technology is difficult to adapt to … Extreme climatic conditions and active geological factors posed challenges in evaluating disaster risk trends in railway construction projects and identifying key influencing factors. Traditional technology is difficult to adapt to the exploration and unknown construction process of railway engineering in complex and difficult areas. Therefore, there is an urgent need for technological innovation. The study used the Vague set theory method to screen and determine a list of risk factors for railway engineering technology innovation in complex areas, including 5 primary risk indicators and 26 secondary risk indicators. Based on this, an evaluation system for risk factors of railway engineering technology innovation in complex areas was established. Secondly, this study combined the Analytic Hierarchy Process (AHP) and Entropy Weight Method (EWM) with a cloud model to comprehensively evaluate risks and create cloud maps. Based on the calculation results, the risk level of railway engineering technology innovation risk factors in complex areas is obtained as environmental factors > technological factors > social factors > management factors > resource factors. The “combination weighting-cloud model” framework adopted in this study effectively overcomes the problem of insufficient representation of traditional single weighting method by integrating subjective and objective weight optimization and dynamic risk coupling analysis and significantly improves the multidimensional adaptability and dynamic evaluation accuracy.

Optimal Design for Construction Supply Chain under Time Value of Money, Inventory Control, and Carbon Tax Consideration

2025-06-01

| Jordan Journal of Mechanical and Industrial Engineering

Risk assessment of solid propellant truing process based on analytic hierarchy process-extenics

2025-06-01

Tingting Wang , Binbin Wang , Yan Guo +2 more | Journal of Physics Conference Series

Abstract The truing process of solid propellant is prone to combustion and explosion accidents. To prevent the occurrence of safety accidents, a comprehensive analysis and evaluation model was constructed by … Abstract The truing process of solid propellant is prone to combustion and explosion accidents. To prevent the occurrence of safety accidents, a comprehensive analysis and evaluation model was constructed by combining the Analytic Hierarchy Process(AHP) and Extenics. Firstly, the AHP was used to establish a multi-level risk assessment index system, and then assign weights to each risk factor effectively. After that, according to the theory of improved Extenics, the correlation function was used to determine the risk level of each risk factor and identify the main risk factors that lead to accidents, based on the results of AHP. Finally, a specific solid propellant truing process was used as an example for risk assessment to verify the effectiveness of this model, and then the safety level of this process was concluded to be three. This result demonstrated that the model can effectively evaluate the risk of the solid propellant truing process, provide a new assessment method for the solid propellant truing process and help ensure production safety.

Analysis the Causes delay from contractors in Construction Projects using fuzzy AHP

2025-06-01

Suha Falih Mahdi , Rouwaida Ali , M. Abbas | Diyala Journal of Engineering Sciences

Construction project delays are a recurring problem that have a big influence on stakeholder satisfaction, project budgets, and schedules. The fuzzy Analytic Hierarchy Process (AHP) is used in this study … Construction project delays are a recurring problem that have a big influence on stakeholder satisfaction, project budgets, and schedules. The fuzzy Analytic Hierarchy Process (AHP) is used in this study to discover, classify, and rank delay causes as it relates to contractor-induced delays. Seventy components were first discovered and categorized into six groups: finance, project management, materials, equipment, external factors, and manpower. This was done using a thorough process that included literature reviews, case studies, expert interviews, and surveys. Financial considerations have the highest weight (0.36743), followed by project management (0.23959) and material-related factors (0.1601), according to the fuzzy AHP model. The results highlight how important it is to deal with payment delays and to mitigate them through efficient project planning, material procurement, and equipment maintenance. This study offers a thorough framework for comprehending and controlling delays caused by contractors, along with useful suggestions to enhance efficiency and reduce risks.

Risk and Return Analysis of Selected Top Three Companies Stocks in Nifty Index – A Study

2025-05-31

H P Vinith , Phaneendra Kumar K S | JNNCE Journal of Engineering and Management

Development of Design Capability Evaluation Model for Construction Engineering Company

2025-05-31

Hwan-Pyo Park | Journal of the Korea Academia-Industrial cooperation Society

Relationship between Logistics Safety Behavior and Logistics Performance based on the Theory of Planned Behavior

2025-05-31

Youngmin Kim | Journal of Korea Trade

Application Strategies of Intelligent Transportation Technology in Traffic Safety Management

2025-05-30

Zhenyi Liu , Mingming Wang | Journal of Architectural Research and Development

At present, transportation construction plays a certain promoting and driving role in the economic and social development of our country. At the same time, because of the accelerated pace of … At present, transportation construction plays a certain promoting and driving role in the economic and social development of our country. At the same time, because of the accelerated pace of transportation construction, the traffic network structure of each region of China has gradually been optimized and perfected. This not only significantly improves people’s quality of life and living conditions, but also provides many conveniences for the transportation of goods. However, in the current process of highway construction and development in China, there is still a certain degree of danger, which will also significantly increase the probability of road safety problems occurring. Therefore, it is necessary to apply intelligent transportation technology to effectively enhance the safety of road use. As a result, this study provides a detailed analysis of the overview of intelligent transportation technology, the advantages of the application of intelligent transportation technology in traffic safety management, as well as an in-depth discussion of the role and application of intelligent transportation technology in traffic safety management.

Research on the Evaluation of Agricultural Product Logistics in Henan Province

2025-05-29

Xiao Han , Shulin Yu | International Journal of Global Economics and Management

Agricultural development undertakes the important mission of ensuring food security and promoting the development of people's livelihood. Therefore, it is of great significance to evaluate the logistics capacity of agricultural … Agricultural development undertakes the important mission of ensuring food security and promoting the development of people's livelihood. Therefore, it is of great significance to evaluate the logistics capacity of agricultural products for the healthy development of agricultural product markets. In this paper, the consumption capacity, production capacity, transportation capacity and informatization degree of agricultural product logistics were selected as indicators to construct the evaluation model of regional agricultural product logistics capacity in Henan Province, and the development status of agricultural products was comprehensively analyzed by factor analysis. The results show that there is a large imbalance and regional differences in the logistics capacity of agricultural products in Henan Province. This paper puts forward a series of countermeasures and suggestions to promote the rapid development of the agricultural product logistics industry in Henan Province, and contribute to the comprehensive promotion of rural revitalization and the creation of a major agricultural province in the new era.

The Study of Risks and Countermeasures Based on Supply Chain Finance ABS Model in Real Estate Enterprises

2025-05-23

Chuhao Xian

The stable development of the real estate industry lays a crucial foundation in the national economic system, but it is often accompanied by various challenges. The real estate industry is … The stable development of the real estate industry lays a crucial foundation in the national economic system, but it is often accompanied by various challenges. The real estate industry is characterized by huge and concentrated capital, as well as extreme sensitivity to market and policy changes. As a result, there is an urgent need for appropriate financing methods, and the ABS model of supply chain finance has emerged. Therefore, it is essential to analyze the risks associated with the ABS model of supply chain finance. This paper selects "Evergrande Real Estate Supply Chain ABS" as the research object and conducts a comprehensive and in-depth analysis of the ABS model of supply chain finance in real estate enterprises. By using the methods of literature analysis and case study, and combining the research of domestic and foreign scholars, the key details of the case are analyzed in detail. The current development status of the ABS model of supply chain finance is comprehensively summarized, and the theoretical basis involved is clearly expounded. Through systematic sorting and summarizing relevant theoretical research, and based on the study of the specific case of "Evergrande Real Estate Supply Chain ABS", corresponding risk identification and assessment are carried out, and each risk point is analyzed to find corresponding countermeasures.

Research on Resource Consumption Standards for Highway Electromechanical Equipment Based on Monte Carlo Model

2025-05-19

Linxuan Liu , Wei Tian , Xiaomin Dai +1 more

The increasing complexity of highway electromechanical systems has created a critical need to improve the accuracy of resource consumption standards. Traditional deterministic methods often fail to capture inherent variability in … The increasing complexity of highway electromechanical systems has created a critical need to improve the accuracy of resource consumption standards. Traditional deterministic methods often fail to capture inherent variability in resource usage, resulting in significant discrepancies between budget estimates and actual costs. To address this issue for a specific device, this study develops a probabilistic framework based on Monte Carlo simulation, using manual barrier gate installation as a case study. First, probability distribution models for key parameters were established by collecting and statistically analyzing field data. Next, Monte Carlo simulation generated 100,000 pseudo-observations, yielding mean labor consumption of 1.08 workdays (SD 0.29), expansion bolt usage of 6.02 sets (SD 0.97), and equipment shifts of 0.20 (SD 0.10). Comparison with the “Highway Engineering Budget Standards” (JTG/T 3832-2018) revealed deviations of 1% to 4%, and comparison with market bid prices showed errors below 2%. These results demonstrate that the proposed method accurately captures dynamic fluctuations in resource consumption, aligning with both national norms and actual tender data. In conclusion, the framework offers a robust and adaptable tool for cost estimation and resource allocation in highway electromechanical projects, enhancing budgeting accuracy and reducing the risk of cost overruns.

Application of Fuzzy Topsis in Analyzing and Solving Transportation System Problems

2025-05-17

Evaluation of Urban Rail Transit System Planning Based on Integrated Empowerment Method and Matter-Element Model

2025-05-16

Han Peng , Yike Chen , Linjian Shangguan +3 more

Urban rail transit system planning is significant for alleviating traffic congestion and optimizing spatial resource allocation in cities with scarce land resources. However, the long period of rail transit construction, … Urban rail transit system planning is significant for alleviating traffic congestion and optimizing spatial resource allocation in cities with scarce land resources. However, the long period of rail transit construction, large-scale investment, and its planning involve a variety of factors, which require scientific and reasonable evaluation methods to ensure that its construction can realize the expected economic and social benefits. To solve this problem, this study first establishes an appropriate evaluation system by selecting suitable evaluation indicators. Then, the comprehensive assignment method combining the ordinal relationship method (G1 method) and the improved entropy weight method is applied to assign weights to the indicators in the evaluation system, and the correlation degree is calculated by combining with the matter-element model for evaluating the planning scheme of the urban rail transit system. Finally, the urban rail transit system planning scheme of Zhengzhou City is verified by example. The results show that the proposed method can balance the practical significance and dynamics of the evaluation indices, evaluate the importance of each index more objectively, and provide methodological support for dynamic decision-making in rail transportation planning in the context of a smart city, which is of guiding significance for the sustainable development of the city.

The Evolutionary Path of Value Co-Creation Behavior in Construction Projects Under the Construction Supply Chain Finance Context

2025-05-12

Shouyong Zhou , Jianjun She , Cong Lu +1 more

The construction industry’s small and medium-sized enterprises (SMEs) face significant financial difficulties, exacerbated by disruptions such as COVID-19. Traditional supply chain finance models, relying on core enterprise credit, fail to … The construction industry’s small and medium-sized enterprises (SMEs) face significant financial difficulties, exacerbated by disruptions such as COVID-19. Traditional supply chain finance models, relying on core enterprise credit, fail to address the dynamic nature of this sector. This study proposes a novel approach to value co-creation among stakeholders (core enterprises, suppliers, and financial institutions) through an evolutionary game theory framework. A stochastic model was developed to examine the strategic decisions of these parties, considering risk, penalty, and incentive coefficients. The results reveal that higher incentives encourage faster participation, while financial institutions are less sensitive to risk and penalty changes. This study provides new insights into promoting cooperative behavior and enhancing the sustainability of small and medium-sized enterprises (SMEs) in the construction industry through platform-based models.

Automatic construction of risk transmission network about subway construction based on deep learning models

2025-05-11

Yanxiang Liang , Na Xu , Hong Chang +2 more

Safety risks management is a critical part during the subway construction. However, conventional methods for risk identification heavily rely on experience from experts and fail to effectively identify the relationship … Safety risks management is a critical part during the subway construction. However, conventional methods for risk identification heavily rely on experience from experts and fail to effectively identify the relationship between risk factors and events embedded in accident texts, which fail to provide substantial guidance for subway safety risks management. With a dataset comprising 562 occurrences of subway construction accidents, this study devised a domain-specific entity recognition model for identifying safety hazards during the subway construction. The model was constructed by a Bidirectional Long Short-Term Memory Network with Conditional Random Fields (BiLSTM-CRF). Additionally, a domain-specific entity causal relation extraction model employing Convolutional Neural Networks (CNN) was also developed in thsi model. The constructed models automatically extract safety risk factors, safety events, and their causal relationships from the texts about subway accidents. The precision, recall, and F1 scores of Metro Construction Safety Risk Named Entity Recognition Model (MCSR-NER-Model) all exceeded 77%. Its performance in the specialized domain named entity recognition (NER) with a limited volume of textual data is satisfactory. The Metro Construction Safety Risk Domain Entity Causal Relationship Extraction Model (MCSR-CE-Model) achieved an impressive accuracy, recall, and F1 score of 98.96%, exhibiting excellent performance. Moreover, the extracted entities were normalized and domain dictionary was developed. Based on the processed entities and relationships processed by the domain dictionary, 533 domain entity causal relation triplets were obtained, facilitating the establishment of the directed and unweighted complex network and case database about the risks of subway construction. This research successfully converted accident texts into a causal chain structure of "safety risk factors to risk events," providing detailed categorization of safety risks and events. Concurrently, it revealed the interrelationships and historical statistical patterns among various safety risk factors and categories of risk events through the complex safety risks network. The construction of the database facilitated project managers in conducting management decisions about safety risks.

The Application of Conditional Value-at-Risk in Coal Purchasing Decision Considering Price and Demand Uncertainty

2025-05-01

| European Journal of Business and Management

RESEARCH ON THE SAFETY EVALUATION OF THE WHOLE PROCESS OF THE POWER DISTRIBUTION PROJECT OF H ELECTRIC COMPANY

2025-04-30

Zhengjie Li , Nur Iylia Amani Abdul Nasir

As an important part of the power system, power distribution engineering projects play an important role in expanding the scale of the power grid and optimizing the structure of the … As an important part of the power system, power distribution engineering projects play an important role in expanding the scale of the power grid and optimizing the structure of the power grid. However, there are many potential safety hazards in the safety management of power distribution projects, which seriously threaten the safety of peoples lives and property, and may also cause a series of social problems. Only by effectively solving the problems of safety management can we better build power distribution projects. This paper studies the safety evaluation of the whole process of power distribution engineering projects of Shandong Henghe Electric Co., Ltd. (hereinafter referred to as H Electric Company), and adopts more abstract concepts such as high and medium to evaluate the rationality of the factors, which will help H Electric Company to effectively reduce the occurrence of safety accidents. With the continuous development of the times, the safety management of power distribution engineering projects has put forward higher and higher requirements for project participants. In view of the importance and particularity of power distribution engineering projects for economic development, in-depth research on the safety evaluation of power distribution engineering projects provides a useful reference for the project safety management of enterprises in the same industry.

Factors Affecting the Application the Balanced Scorecard to Improve Organizational Performance in Vietnamese Coal-Fired Thermal Power Plants

2025-04-30

An Enhanced Spherical Cubic fuzzy WASPAS Method and its Application for the Assessment of Service Quality of Crowdsourcing Logistics Platform

2025-04-29

Dongmei Li , Guorou Wan , Yuan Rong

The service quality of crowdsourcing logistics platforms (CLP) represents the fulfillment of standardized requirements during service delivery. Evaluating this quality enables quantification of service performance, identification of deficiencies in key … The service quality of crowdsourcing logistics platforms (CLP) represents the fulfillment of standardized requirements during service delivery. Evaluating this quality enables quantification of service performance, identification of deficiencies in key indicators (delivery timeliness, safety, and service attitude), and optimization of operational efficiency. Such assessment helps standardize courier behavior, enhance user satisfaction, and strengthen platform competitiveness. This study proposes an enhanced decision-making method for assessing CLP service quality under uncertainty using spherical cubic fuzzy (SCF) sets, which effectively capture fuzzy and uncertain information. We develop an SCF-based approach integrating Renyi entropy and the WASPAS method, featuring four key contributions: (1) definition of SCF Aczel-Alsina operations and four corresponding aggregation operators (weighted averaging, geometric, ordered weighted averaging, and ordered weighted geometric); (2) development of an SCF-Renyi entropy weight method using score functions to determine criteria weights; (3) improvement of the WASPAS method through SCF Aczel-Alsina operators; and (4) validation through a supplier selection case study demonstrating the method's applicability. Sensitivity analysis confirms the approach's stability and universality in handling multi-criteria decision analysis problems.

Analysis of traffic accidents in construction zone reconstruction and expansion based on text mining

2025-04-28

Lisha Tang , Kai Kang , Tong Zhu

Multi-factor co-occurrence influencing mechanism of driver’s workload in interchange sections based on QCA

2025-04-28

Yongqiang Sun , Fang Ma

Car-following model in highway tunnel sections based on risk perception and psychological field theory

2025-04-28

Shaopeng Cao , Wenxuan Wang , Ying Yan

Research on optimization of hub-and-spoke logistics network considering hub congestion

2025-04-28

Rui Wang , Lu Chen , Hui Hu +3 more

Analysis of expressway maintenance decision based on complete information static game theory

2025-04-28

Chenyao Li , S. Meng

Research on the detection and disposal scheme of highway tunnel diseases

2025-04-28

Huahuai Sun , Chen Ji , Meng Li +3 more

Research on the prediction of vehicle-non-motor conflict risk areas at heterogeneous traffic intersections

2025-04-28

Yiqun Fan , Jianjun Wang , Jingtao Li +1 more

Research on the impact of investor sentiment on the yield of the real estate sector

2025-04-25

Xianzhong Feng

This study investigates the interaction between investor sentiment and macroeconomic environment in China's real estate sector from 2013 to 2023. Using a dataset combining psychological measurements from 2,156 investors with … This study investigates the interaction between investor sentiment and macroeconomic environment in China's real estate sector from 2013 to 2023. Using a dataset combining psychological measurements from 2,156 investors with market data from 148 listed real estate companies, we examine how monetary policy and market structure shape the transmission of emotional effects. Through empirical analysis integrating emotional psychology and behavioral finance theories, we identify three key mechanisms: (1) monetary policy environment significantly moderates emotional transmission in the market, with loose policy periods amplifying sentiment effects; (2) market structure and investor composition determine the strength of emotional contagion, showing stronger effects in retail-dominated markets; (3) social networks and institutional arrangements systematically influence how individual emotions aggregate into market-wide sentiment. Our results demonstrate that the impact of investor emotions varies substantially with macroeconomic conditions and market structure, revealing the crucial role of policy environment and institutional framework in emotional transmission. These findings provide insights for maintaining market stability through coordinated management of monetary policy, market structure, and collective sentiment.

The Application of Mathematics in Logistics Distribution Optimization

2025-04-24

Jia-Yi Fu

The optimization of logistics delivery routes plays a crucial role in reducing transportation costs and improving delivery efficiency. This paper focuses on the problem of logistics delivery route optimization, taking … The optimization of logistics delivery routes plays a crucial role in reducing transportation costs and improving delivery efficiency. This paper focuses on the problem of logistics delivery route optimization, taking 20 Hema Fresh stores in Pudong New Area, Shanghai as the research object. By analyzing factors such as vehicle load limits and variable costs generated during the delivery process, a suitable mathematical model is constructed. Subsequently, the greedy algorithm and the genetic algorithm are applied to solve the model respectively, aiming to find the optimal delivery routes. The performance differences of different algorithms in practical applications are compared in detail. The research results show that different algorithms have different effects on the optimization of logistics delivery routes and need to be selected according to the actual situation. This paper provides a feasible solution and useful reference for the logistics delivery route planning of Hema Fresh and other fresh - food e - commerce enterprises.

Study on the Financial Performance Evaluation Based on EVA Model of BYD Auto

2025-04-24

Yilin Cai

By analysing the financial data of it is found that BYD Auto, the traditional financial performance evaluation method may not be able to show the enterprise's operation status and value … By analysing the financial data of it is found that BYD Auto, the traditional financial performance evaluation method may not be able to show the enterprise's operation status and value creation ability in a comprehensive way, based on which, the adopted economic value added (EVA) is as the evaluation index to make up for the shortcomings of method the traditional. The EVA theory is applied to the financial performance evaluation of BYD Auto, calculating the company's EVA and analysing its problems, making suggestions the future development of for BYD Auto, and further for providing certain the development of the automobile manufacturing industry reference and help.

Research and Application of Comprehensive Evaluation Model of Campus Safety Culture Based on Game Theory-Regret Theory

2025-04-23

Zongyan Zhou , Yao Lü , Lin Xie +3 more

<title>Abstract</title> To enhance the scientific and objective evaluation of campus safety culture, thereby reducing the risk of campus accidents and improving the overall level of safety culture, this study developed … <title>Abstract</title> To enhance the scientific and objective evaluation of campus safety culture, thereby reducing the risk of campus accidents and improving the overall level of safety culture, this study developed a evaluation index system of campus safety culture from five levels: safety physical culture, safety institutional culture, safety conceptual culture, safety behavioral culture, and safety environmental culture. The campus safety culture evaluation index system employs the ordinal relationship analysis method (G1 method) and the anti-entropy weight method to determine the subjective and objective weights of the indicators, respectively. Additionally, game theory is utilized to compute the comprehensive weights of these indicators. Ultimately, the established comprehensive evaluation model of campus safety culture, founded on game theory and regret theory, was applied to assess the safety culture at universities in Ganzhou. The results show that this evaluation model is suitable for campus safety culture evaluation and provides feasible paths for for such evaluations.

A Comprehensive Intelligent Traffic Monitoring System Based on a Novel Integration of Neutrosophic Multi-Criteria Decision-Making Techniques

2025-04-22

Mai Mohamed , A. Salam , Rana Muhammad Zulqarnain +1 more

Construction of Comprehensive Evaluation System of Tunnel Blasting Effect Based on Multiple Indicators

2025-04-21

Yaoqi Zhang

A comprehensive evaluation system of tunnel blasting effect based on multiple indicators is crucial for improving construction safety and efficiency. This paper proposes specific quantitative indicators and evaluation models by … A comprehensive evaluation system of tunnel blasting effect based on multiple indicators is crucial for improving construction safety and efficiency. This paper proposes specific quantitative indicators and evaluation models by analyzing the main factors affecting the blasting effect, such as geological conditions, blasting parameter settings and environmental adaptability. The study shows that the reasonable selection of explosive types, optimization of charge structure and detonation method, and the combination of real-time monitoring technology can significantly improve the blasting effect and reduce the negative impact on the surrounding environment. The establishment of an effective feedback mechanism helps to adjust the blasting design program in time to ensure construction safety. This study provides a set of scientific assessment tools for blasting operations in tunneling projects and promotes the development and application of industry standards.

The Application of the Improved DuPont Financial Analysis System in Analyzing Company's Profitability - Taking Toly Bread Co., Ltd. as an Example

2025-04-21

Ruihan Zhong

The DuPont financial analysis system, with net interest margin as the core, uses debt - paying and operational efficiency indicators to analyze listed companies' profitability. But it's mainly for static … The DuPont financial analysis system, with net interest margin as the core, uses debt - paying and operational efficiency indicators to analyze listed companies' profitability. But it's mainly for static analysis, lacking in dynamic analysis, which the chain substitution method can remedy. This paper centers on the DuPont system, analyzes Toly Bread's 2021-2023 annual reports, calculates relevant financial indicators, and improves them with the chain substitution method. Financially, it spots Toly Bread's operational issues, offers improvement suggestions, aiming to aid Toly Bread and related food firms' further development.

Study on the Application of Markov Chains in Transportation

2025-04-17

Xiang Li

With the increasing demand for efficient traffic management driven by urbanization, predicting traffic patterns has become critical. This paper looks at the application of Markov chains in the field of … With the increasing demand for efficient traffic management driven by urbanization, predicting traffic patterns has become critical. This paper looks at the application of Markov chains in the field of transportation, focusing on their ability to model complex and dynamic traffic systems. Three Markov-based models are discussed: homogeneous Markov chains, Grey Markov chains, and Markov-based queueing models. Based on these three models, this paper provided the relevant applications, including pedestrian crash prediction, urban rail passenger flow forecasting, and bus stop zone length optimization. It is shown by the results that Markov chains are effective in these models. To elaborate, homogeneous Markov chains help identify high-risk areas for pedestrian crashes, which provides a targeted measurement for the traffic management departments. On the other hand, GM-Markov models improve the accuracy of passenger flow forecasting. Moreover, queueing models optimize bus stop efficiency, making transportation systems more reliable. These findings show that using Markov chains in transportation could lead to a better traffic system. As a result, cities can manage their transportation networks more effectively.

Optimization Research of Enterprise Supply Chain Demand Forecasting and Inventory Cost Control Based on Machine Learning Models

2025-04-16

Study on determining the weights of risk assessment indexes based on AHP hierarchical analysis for barracks facilities construction units in highland and alpine areas

2025-04-16

Research on Performance Evaluation and Appraisal Methods of Asset Management in Public Universities Introducing Super-Efficient DEA Modeling

2025-04-16

Research on bearing fault diagnosis based on ISA-VMD and IMSE

2025-04-11

Feng Yan

Abstract Aiming at the problems of difficulty in extracting vibration signal features and low recognition accuracy of bearing fault, a new fault diagnosis method based on ISSA-VMD and IMSE was … Abstract Aiming at the problems of difficulty in extracting vibration signal features and low recognition accuracy of bearing fault, a new fault diagnosis method based on ISSA-VMD and IMSE was proposed. This method leverages an improved sparrow search algorithm (ISSA) to optimize the variational mode decomposition (VMD) method and employs an improved multiscale sample entropy (IMSE) for fault feature extraction. Initially, the ISSA algorithm optimizes two critical parameters of the VMD method: the number of modes $$K$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mi>K</mml:mi> </mml:math> and the penalty factor $$\alpha$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mi>α</mml:mi> </mml:math> , to obtain the optimal parameter combination $$[K$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mo>[</mml:mo> <mml:mi>K</mml:mi> </mml:mrow> </mml:math> , $$\alpha$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mi>α</mml:mi> </mml:math> ]. The optimized VMD method is then used to decompose the bearing vibration signals for signal reconstruction analysis. Subsequently, the IMSE entropy algorithm is applied to the reconstructed signals to extract fault features, resulting in the required fault feature vector set. Finally, this extracted fault feature vector set is input into a multi-kernel extreme learning machine model for fault classification and diagnosis. The results show that the identification accuracy of the fault diagnosis of reciprocating compressor plain bearings and automobile rolling bearings is significantly improved, and the method has better fault feature extraction effect.

Research on Financial Risk Evaluation of Listed Companies in China's Steel Industry

2025-04-05

Yan Sun

To effectively identify the financial risk levels in the steel industry, this paper employs factor analysis to study the main financial indicators of 48 listed steel enterprises on the Shanghai … To effectively identify the financial risk levels in the steel industry, this paper employs factor analysis to study the main financial indicators of 48 listed steel enterprises on the Shanghai and Shenzhen stock exchanges in 2022. After data standardization, five critical factors were extracted: profitability and growth factor, solvency factor, operational efficiency factor, profitability-cash factor, and operational-cash factor. These factors collectively provide a comprehensive assessment of enterprise financial risk. The analysis reveals significant differences in financial risk among enterprises. Companies with strong solvency and effective cash flow management exhibited lower financial risks, while enterprises suffering from poor operational efficiency and inadequate profitability faced higher risks. Consequently, the study concludes that steel enterprises should optimize debt structures, enhance operational management, and accelerate industrial transformation and upgrading to improve financial security and sustainable competitiveness.