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Flow shop makespan minimization scheduling with deteriorating jobs under dominating machines

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  • Sun, Lin-Hui
  • Sun, Lin-Yan
  • Wang, Ming-Zheng
  • Wang, Ji-Bo

Abstract

This paper studies general, no-wait or no-idle flow shop scheduling problems with deteriorating jobs, that is, jobs whose processing times are an increasing function of their start times. A linear deterioration function with identical normal processing times of all jobs is assumed and some dominating relationships between machines can be satisfied. For the makespan minimization problems, the following dominant machines constraint: idm, ddm, idm–ddm and ddm–idm are considered. We show that these problems can be solved in polynomial time, although these problems are more complicated than the classical ones.

Suggested Citation

  • Sun, Lin-Hui & Sun, Lin-Yan & Wang, Ming-Zheng & Wang, Ji-Bo, 2012. "Flow shop makespan minimization scheduling with deteriorating jobs under dominating machines," International Journal of Production Economics, Elsevier, vol. 138(1), pages 195-200.
  • Handle: RePEc:eee:proeco:v:138:y:2012:i:1:p:195-200
    DOI: 10.1016/j.ijpe.2012.03.023
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    References listed on IDEAS

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    Cited by:

    1. Allahverdi, Ali, 2016. "A survey of scheduling problems with no-wait in process," European Journal of Operational Research, Elsevier, vol. 255(3), pages 665-686.
    2. Li, Gang & Wang, Xiao-Yuan & Wang, Ji-Bo & Sun, Lin-Yan, 2013. "Worst case analysis of flow shop scheduling problems with a time-dependent learning effect," International Journal of Production Economics, Elsevier, vol. 142(1), pages 98-104.
    3. Stanisław Gawiejnowicz, 2020. "A review of four decades of time-dependent scheduling: main results, new topics, and open problems," Journal of Scheduling, Springer, vol. 23(1), pages 3-47, February.
    4. Lee, Wen-Chiung & Chung, Yu-Hsiang, 2013. "Permutation flowshop scheduling to minimize the total tardiness with learning effects," International Journal of Production Economics, Elsevier, vol. 141(1), pages 327-334.
    5. Zhenyou Wang & Cai-Min Wei & Yuan-Yuan Lu, 2016. "Permutation Flow Shop Problem with Shortening Job Processing Times," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 33(04), pages 1-14, August.
    6. Wang, Sheng-yao & Wang, Ling & Liu, Min & Xu, Ye, 2013. "An effective estimation of distribution algorithm for solving the distributed permutation flow-shop scheduling problem," International Journal of Production Economics, Elsevier, vol. 145(1), pages 387-396.
    7. Nekoiemehr, Nooshin & Selvarajah, Esaignani & Zhang, Guoqing, 2015. "Scheduling of jobs with cross families in two stage manufacturing systems," International Journal of Production Economics, Elsevier, vol. 167(C), pages 88-96.
    8. Na Yin & Liying Kang, 2015. "Minimizing Makespan in Permutation Flow Shop Scheduling with Proportional Deterioration," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 32(06), pages 1-12, December.
    9. Zhenyou Wang & Cai-Min Wei & Yu-Bin Wu, 2016. "Single Machine Two-Agent Scheduling with Deteriorating Jobs," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 33(05), pages 1-17, October.
    10. Xiao, Yiyong & Yuan, Yingying & Zhang, Ren-Qian & Konak, Abdullah, 2015. "Non-permutation flow shop scheduling with order acceptance and weighted tardiness," Applied Mathematics and Computation, Elsevier, vol. 270(C), pages 312-333.

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