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International Journal of Production Research Volume 60, 2022 - Issue 10
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Articles

Dynamic scheduling in make-to-stock production systems with setup times and random breakdowns: performance analysis and improved policies

Fernando TubillaDept. of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USACorrespondence[email protected]
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Stanley B. GershwinDept. of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USAView further author information
Pages 3263-3281 | Received 04 Nov 2020, Accepted 30 Mar 2021, Published online: 06 May 2021

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Azeem Shami & Ashesh Kumar Sinha. (2023) Simulation based model for component replenishment in multi-product ATO systems with shared resources. International Journal of Modelling and Simulation 43:6, pages 864-878.
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Lei Cai, Wenfeng Li, Yun Luo & Lijun He. (2023) Real-time scheduling simulation optimisation of job shop in a production-logistics collaborative environment. International Journal of Production Research 61:5, pages 1373-1393.
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Articles from other publishers (2)

Wen Song, Nan Mi, Qiqiang Li, Jing Zhuang & Zhiguang Cao. (2024) Stochastic Economic Lot Scheduling via Self-Attention Based Deep Reinforcement Learning. IEEE Transactions on Automation Science and Engineering 21:2, pages 1457-1468.
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Xiaohan Wang, Yaping Dai, Ling Wang & Zhiyang Jia. (2023) Transient Analysis and Scheduling of Bernoulli Serial Lines With Multi-Type Products and Finite Buffers. IEEE Transactions on Automation Science and Engineering 20:4, pages 2367-2382.
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