Addressing distributional shifts in operations management: The case of order fulfillment in customized production

Julian Senoner, Bernhard Kratzwald, Milan Kuzmanovic, Torbjørn H. Netland, Stefan Feuerriegel

Type: Preprint

Publication Date: 2023-01-01

Citations: 0

DOI: https://doi.org/10.48550/arxiv.2304.11910

View Publication

Locations

arXiv (Cornell University) - View - PDF
DataCite API - View

Similar Works

Action	Title	Year	Authors
+ PDF Chat	Addressing distributional shifts in operations management: The case of order fulfillment in customized production	2023	Julian Senoner Bernhard Kratzwald Milan Kuzmanovic Torbjörn H. Netland Stefan Feuerriegel
+	Learning an Inventory Control Policy with General Inventory Arrival Dynamics	2023	Sohrab Andaz Carson Eisenach Dhruv Madeka Kari Torkkola Randy Jia Dean P. Foster Sham M. Kakade
+	A Learning Based Framework for Handling Uncertain Lead Times in Multi-Product Inventory Management	2022	Hardik Meisheri Somjit Nath Mayank Baranwal Harshad Khadilkar
+ PDF Chat	Enhancing Courier Scheduling in Crowdsourced Last-Mile Delivery through Dynamic Shift Extensions: A Deep Reinforcement Learning Approach	2024	Zead Saleh Ahmad Al Hanbali Ahmad Baubaid
+ PDF Chat	Decision-Focused Evaluation of Worst-Case Distribution Shift	2024	Kevin Ren Yewon Byun Bryan Wilder
+ PDF Chat	Forecasting Automotive Supply Chain Shortfalls with Heterogeneous Time Series	2024	Bach Viet Do Xingyu Li Chaoye Pan Oleg Gusikhin
+	Duration-of-Stay Storage Assignment under Uncertainty.	2019	Michael Lingzhi Li Elliott Wolf Daniel Wintz
+	Duration-of-Stay Storage Assignment under Uncertainty	2019	Michael Lingzhi Li Elliott Wolf Daniel Wintz
+ PDF Chat	Deep Reinforcement Learning for Dynamic Order Picking in Warehouse Operations	2024	Sasan Mahmoudinazlou Abhay Sobhanan Hadi Charkhgard Ali Eshragh George Dunn
+	Application of Duration-of-Stay Storage Assignment with Deep Neural Networks under Uncertainty.	2019	Michael Lingzhi Li Elliott Wolf Daniel Wintz
+ PDF Chat	Classical and Deep Reinforcement Learning Inventory Control Policies for Pharmaceutical Supply Chains with Perishability and Non-Stationarity	2025	Francesco Stranieri Chaaben Kouki Willem van Jaarsveld Fabio Stella
+ PDF Chat	Confidence-Aware Deep Learning for Load Plan Adjustments in the Parcel Service Industry	2024	Thomas Bruys Reza Zandehshahvar Amira Hijazi Pascal Van Hentenryck
+ PDF Chat	Contextual Stochastic Optimization for Omnichannel Multi-Courier Order Fulfillment Under Delivery Time Uncertainty	2024	Tinghan Ye Shiu-Mei Cheng Amira Hijazi Pascal Van Hentenryck
+ PDF Chat	Multi-Agent Decision Transformers for Dynamic Dispatching in Material Handling Systems Leveraging Enterprise Big Data	2024	Xian Yeow Lee Haiyan Wang Daisuke KATSUMATA Takaharu Matsui Chetan Gupta
+	Distributional Reinforcement Learning for Scheduling of Chemical Production Processes	2022	Max Mowbray Dongda Zhang Ehecatl Antonio Del Rio Chanona
+	Case Article—Blending Statistics, Optimization, and Simulation in a Multiphase Case	2022	Michael F. Gorman
+	Learning Dynamic Selection and Pricing of Out-of-Home Deliveries	2023	Fabian Akkerman Peter Dieter Martijn Mes
+ PDF Chat	Enhancing supply chain resilience: A machine learning approach for predicting product availability dates under disruption	2024	Mustafa Can Camur Sandipp Krishnan Ravi Shadi Saleh
+ PDF Chat	Solving Dual Sourcing Problems with Supply Mode Dependent Failure Rates	2024	Fabian Akkerman Nils Knofius Matthieu van der Heijden Martijn Mes
+ PDF Chat	Neural Combinatorial Optimization for Stochastic Flexible Job Shop Scheduling Problems	2024	Igor G. Smit Yaoxin Wu Pavel Troubil Yingqian Zhang Wim Nuijten

Works That Cite This (0)

Action	Title	Year	Authors

Works Cited by This (0)

Action	Title	Year	Authors