Deep reinforcement learning‐based ordering mechanism for performance optimization in multi‐echelon supply chains-Reference-Cited by-同舟云学术

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Deep reinforcement learning‐based ordering mechanism for performance optimization in multi‐echelon supply chains

Published:2022-10-18 Issue: Volume: Page:
ISSN:1524-1904
Container-title:Applied Stochastic Models in Business and Industry
language:en
Short-container-title:Appl Stoch Models Bus & Ind

Author:

Kurian Dony S.¹^ORCID,Pillai V. Madhusudanan¹^ORCID,Raut Akash²,Gautham J.¹

Affiliation:

1. Department of Mechanical Engineering National Institute of Technology Calicut Kozhikode India

2. Department of Electrical Engineering National Institute of Technology Calicut Kozhikode India

Publisher

Wiley

Subject

Management Science and Operations Research,General Business, Management and Accounting,Modeling and Simulation

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/asmb.2723

Reference52 articles.

1. Towards a sustainable framework for computer based health information systems (CHIS) for least developed countries (LDCs)

2. A reinforcement learning model for supply chain ordering management: An application to the beer game

3. Teaching takes off;Sterman JD;OR/MS Today,1992

4. vanTongerenT KaymakU NasoD vanAsperenE.Q‐learning in a competitive supply chain. In: 2007 IEEE International Conference on Systems Man and Cybernetics. IEEE; 2007:1211‐1216. doi:10.1109/ICSMC.2007.4414132

5. Information Distortion in a Supply Chain: The Bullwhip Effect

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Optimisation of recovery policies in the era of supply chain disruptions: a system dynamics and reinforcement learning approach;International Journal of Production Research;2024-08-06

2. Correction to deep reinforcement learning‐based ordering mechanism for performance optimization in multi‐echelon supply chains;Applied Stochastic Models in Business and Industry;2023-12-28

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