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Heuristics for parallel-machine scheduling with job class setups and delivery to multiple customers

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  • Wang, Xiuli
  • Cheng, T.C.E.

Abstract

We consider the identical parallel-machine scheduling problem in which both job class setups for job processing and product delivery are required. A setup time is incurred for a job if it is the first job to be processed on a machine or its processing on a machine follows a job that belongs to another class. Processed jobs are delivered in batches to their respective customers. The batch size is limited by the capacity of the delivery vehicles and each shipment incurs a delivery (transportation) cost and takes a fixed amount of time. The objective is to minimize the weighted sum of the last arrival time of the jobs to the customers and the delivery cost. We develop heuristics for the problem and analyse their performance bounds.

Suggested Citation

  • Wang, Xiuli & Cheng, T.C.E., 2009. "Heuristics for parallel-machine scheduling with job class setups and delivery to multiple customers," International Journal of Production Economics, Elsevier, vol. 119(1), pages 199-206, May.
    • Handle: RePEc:eee:proeco:v:119:y:2009:i:1:p:199-206
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    References listed on IDEAS

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    1. Zhi-Long Chen & George L. Vairaktarakis, 2005. "Integrated Scheduling of Production and Distribution Operations," Management Science, INFORMS, vol. 51(4), pages 614-628, April.
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    7. Nong, Qingqin & Yuan, Jinjiang & Fu, Ruyan & Lin, Lin & Tian, Ji, 2008. "The single-machine parallel-batching on-line scheduling problem with family jobs to minimize makespan," International Journal of Production Economics, Elsevier, vol. 111(2), pages 435-440, February.
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    Cited by:

    1. Wang, Xiuli & Cheng, T.C.E., 2009. "Logistics scheduling to minimize inventory and transport costs," International Journal of Production Economics, Elsevier, vol. 121(1), pages 266-273, September.
    2. Chung, Tsui-Ping & Liao, Ching-Jong & Su, Ling-Huey, 2010. "Scheduling on identical machines with batch arrivals," International Journal of Production Economics, Elsevier, vol. 123(1), pages 179-186, January.
    3. 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.
    4. Mecler, Davi & Abu-Marrul, Victor & Martinelli, Rafael & Hoff, Arild, 2022. "Iterated greedy algorithms for a complex parallel machine scheduling problem," European Journal of Operational Research, Elsevier, vol. 300(2), pages 545-560.
    5. Jürgen Strohhecker & Michael Hamann & Jörn-Henrik Thun, 2016. "Loading and sequencing heuristics for job scheduling on two unrelated parallel machines with long, sequence-dependent set-up times," International Journal of Production Research, Taylor & Francis Journals, vol. 54(22), pages 6747-6767, November.
    6. Liou, Cheng-Dar & Hsieh, Yi-Chih, 2015. "A hybrid algorithm for the multi-stage flow shop group scheduling with sequence-dependent setup and transportation times," International Journal of Production Economics, Elsevier, vol. 170(PA), pages 258-267.
    7. Vinod, V. & Sridharan, R., 2011. "Simulation modeling and analysis of due-date assignment methods and scheduling decision rules in a dynamic job shop production system," International Journal of Production Economics, Elsevier, vol. 129(1), pages 127-146, January.

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