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Original Articles

Lot streaming in the presence of learning in sublot-attached setup times and processing times

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Pages 1623-1639 | Received 16 Nov 2015, Accepted 23 May 2016, Published online: 29 Jun 2016

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Ran Liu, Chengkai Wang, Huiyin Ouyang & Zerui Wu. (2023) Exact algorithm and machine learning-based heuristic for the stochastic lot streaming and scheduling problem. IISE Transactions 0:0, pages 1-15.
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Shasha Wang, Mary Kurz, Scott Jennings Mason & Eghbal Rashidi. (2019) Two-stage hybrid flow shop batching and lot streaming with variable sublots and sequence-dependent setups. International Journal of Production Research 57:22, pages 6893-6907.
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Articles from other publishers (7)

Zhifeng Liu, Jiming Zha, Jun Yan, Yueze Zhang, Tianzuo Zhao, Qiang Cheng & Chenyang Cheng. (2024) An improved genetic algorithm with an overlapping strategy for solving a combination of order batching and flexible job shop scheduling problem. Engineering Applications of Artificial Intelligence 127, pages 107321.
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Niloy J. Mukherjee, Subhash C. Sarin & Daniel A. Neira. (2023) Lot streaming for a two-stage assembly system in the presence of handling costs. Journal of Scheduling 26:4, pages 335-351.
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Lele Li. (2022) Research on discrete intelligent workshop lot-streaming scheduling with variable sublots under engineer to order. Computers & Industrial Engineering 165, pages 107928.
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Wenyan Wang, Zhenhao Xu & Xingsheng Gu. (2022) A two-stage discrete water wave optimization algorithm for the flowshop lot-streaming scheduling problem with intermingling and variable lot sizes. Knowledge-Based Systems 238, pages 107874.
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Alexandra Salazar-Moya & Marcelo V. Garcia. (2021) Lot Streaming in Different Types of Production Processes: A PRISMA Systematic Review. Designs 5:4, pages 67.
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Hai-yan Wang, Fu Zhao, Hui-min Gao & John W. Sutherland. (2019) A three-stage method with efficient calculation for lot streaming flow-shop scheduling. Frontiers of Information Technology & Electronic Engineering 20:7, pages 1002-1020.
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Kenneth R. Baker & Dan Trietsch. 2018. Principles of Sequencing and Scheduling. Principles of Sequencing and Scheduling 341 372 .

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