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A note on special optimal batching structures to minimize total weighted completion time

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Listed:
  • Wenhua Li

    (Zhengzhou University)

  • Jinjiang Yuan

    (Zhengzhou University)

  • Yixun Lin

    (Zhengzhou University)

Abstract

A batch is a subset of jobs which must be processed jointly in either serial or parallel form. The algorithmic aspects of the batching scheduling problems have been extensively studied in the literature. This paper presents necessary and sufficient conditions of the existence of optimal batch sequences for the single machine, batching, total weighted completion time scheduling problems on two batching ways: (1) all jobs form one batch; (2) each batch contains a single job. This kind of conditions can help us to recognize some special optimal schedules quickly.

Suggested Citation

  • Wenhua Li & Jinjiang Yuan & Yixun Lin, 2007. "A note on special optimal batching structures to minimize total weighted completion time," Journal of Combinatorial Optimization, Springer, vol. 14(4), pages 475-480, November.
    • Handle: RePEc:spr:jcomop:v:14:y:2007:i:4:d:10.1007_s10878-007-9070-8
    DOI: 10.1007/s10878-007-9070-8
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    References listed on IDEAS

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    1. Potts, Chris N. & Kovalyov, Mikhail Y., 2000. "Scheduling with batching: A review," European Journal of Operational Research, Elsevier, vol. 120(2), pages 228-249, January.
    2. Yuan, J.J. & Lin, Y.X. & Cheng, T.C.E. & Ng, C.T., 2007. "Single machine serial-batching scheduling problem with a common batch size to minimize total weighted completion time," International Journal of Production Economics, Elsevier, vol. 105(2), pages 402-406, February.
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    Cited by:

    1. Xing Chai & Wenhua Li & Yuejuan Zhu, 2021. "Online scheduling to minimize maximum weighted flow-time on a bounded parallel-batch machine," Annals of Operations Research, Springer, vol. 298(1), pages 79-93, March.
    2. Wenhua Li & Weina Zhai & Xing Chai, 2019. "Online Bi-Criteria Scheduling on Batch Machines with Machine Costs," Mathematics, MDPI, vol. 7(10), pages 1-11, October.

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