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Articles

Batch scheduling on parallel machines with dynamic job arrivals and incompatible job families

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Pages 2462-2477 | Received 07 Nov 2011, Accepted 05 Nov 2012, Published online: 03 Jan 2013

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Zhen Wang, Jihui Zhang & Shengxiang Yang. (2019) An improved particle swarm optimization algorithm for dynamic job shop scheduling problems with random job arrivals. Swarm and Evolutionary Computation 51, pages 100594.
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Siwen Liu, Jun Pei, Hao Cheng, Xinbao Liu & Panos M. Pardalos. (2019) Two-stage hybrid flow shop scheduling on parallel batching machines considering a job-dependent deteriorating effect and non-identical job sizes. Applied Soft Computing 84, pages 105701.
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B. Shahidi-Zadeh, R. Tavakkoli-Moghaddam, A. Taheri-Moghadam & I. Rastgar. (2017) Solving a bi-objective unrelated parallel batch processing machines scheduling problem: A comparison study. Computers & Operations Research 88, pages 71-90.
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Andy Ham, John W. Fowler & Eray Cakici. (2017) Constraint Programming Approach for Scheduling Jobs With Release Times, Non-Identical Sizes, and Incompatible Families on Parallel Batching Machines. IEEE Transactions on Semiconductor Manufacturing 30:4, pages 500-507.
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Shubin Xu & James C. Bean. (2015) Scheduling parallel-machine batch operations to maximize on-time delivery performance. Journal of Scheduling 19:5, pages 583-600.
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Robert Kohn, Oliver Rose & Christoph Laroque. (2013) Study on multi-objective optimization for parallel batch machine scheduling using variable neighbourhood search. Study on multi-objective optimization for parallel batch machine scheduling using variable neighbourhood search.

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