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Multi-Agent Deep Reinforcement Learning for Multi-Echelon Inventory Management

Liu, Xiaotian; Hu, Ming; Peng, Yijie; Yang, Yaodong - 2022

We apply Multi-Agent Deep Reinforcement Learning (MADRL) to inventory management problems with multiple echelons and …-Agent Proximal Policy Optimization (HAPPO) on the multi-echelon inventory management problems in both a serial supply chain and a … results also verify MADRL's potential in solving various multi-echelon inventory management problems with complex supply chain …

Persistent link: https://www.econbiz.de/10014237002

The bullwhip effect under different information-sharing settings : a perspective on price-sensitive demand that incorporates price dynamics

Ma, Yungao; Wang, Nengmin; Che, Ada; Huang, Fay; Xu, Jinpeng - In: International journal of production research 51 (2013) 10, pp. 3085-3116

Persistent link: https://www.econbiz.de/10009736207

Analysis of the bullwhip effect in a multiproduct setting with interdependent demands

Raghunathan, Srinivasan; Tang, Christopher S.; Yue, Xiaohang - In: Operations research 65 (2017) 2, pp. 424-432

Persistent link: https://www.econbiz.de/10011673160

Effective bullwhip metrics for multi-echelon distribution systems under order batching policies with cyclic demand

Vicente, Joaquim Jorge; Relvas, Susana; Barbosa-Póvoa, … - In: International journal of production research 56 (2018) 4, pp. 1593-1619

Persistent link: https://www.econbiz.de/10011871626

Exponential smoothing forecasts : taming the bullwhip effect when demand is seasonal

Udenio, Maximiliano; Vatamidou, Eleni; Fransoo, Jan C. - In: International journal of production research 61 (2023) 6, pp. 1796-1813

Persistent link: https://www.econbiz.de/10014230486

The value of market information and the bullwhip effect

Yin, Xuluo; Tang, Wenting - In: Journal of the Operational Research Society 75 (2024) 11, pp. 2241-2252

Persistent link: https://www.econbiz.de/10015188829

Two echelon supply chain with vendor managed inventory and revenue sharing contract under shortage gaming scenario

Jain, Reena; Jaggi, Chandra K.; Verma, Mona - In: International journal of operations and quantitative … 26 (2020) 4, pp. 255-283

Persistent link: https://www.econbiz.de/10012491348

Clearing control policies for MAP inventory process with lost sales

Barron, Yonit - In: European journal of operational research : EJOR 251 (2016) 2, pp. 495-508

Persistent link: https://www.econbiz.de/10011444338

Projected inventory-level policies for lost sales inventory systems : asymptotic optimality in two regimes

Jaarsveld, Willem van; Arts, Joachim - In: Operations research 72 (2024) 5, pp. 1790-1805

Persistent link: https://www.econbiz.de/10015361740

To select or to combine? : the inventory performance of model and expert forecasts

Wang, Xun; Petropoulos, Fotios - In: International journal of production research 54 (2016) 17/18, pp. 5271-5282

Persistent link: https://www.econbiz.de/10011530200