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Competitive algorithm for scheduling of sharing machines with rental discount

Author

Listed:
  • Yinfeng Xu

    (Donghua University)

  • Rongteng Zhi

    (Donghua University)

  • Feifeng Zheng

    (Donghua University)

  • Ming Liu

    (Tongji University)

Abstract

This paper addresses the online parallel machine scheduling problem with machine leasing discount. Rental cost discount is a common phenomenon in the sharing manufacturing environment. In this problem, jobs arrive one by one over-list and must be allocated irrevocably upon their arrivals without knowing future jobs. Each job is with one unit of processing time. One manufacturer leases a limited number of identical machines over a manufacturing resource sharing platform, and pays a rental fee of $$\alpha $$ α per time unit for processing jobs. Especially, when the time duration of a leasing machine reaches the discount time point, the manufacturer will get a discount for further processing jobs on the machine, i.e., the unit time rental cost is $$\alpha \beta $$ α β , where $$\beta =1/2$$ β = 1 / 2 is the discount coefficient. The objective function is the sum of makespan and the rental cost of all the sharing machines. When the unit time rental cost $$\alpha \ge 2$$ α ≥ 2 , we first provide the lower bound of objective value of an optimal schedule in the offline version and prove a lower bound of 1.093 for the problem. Based on the analysis of the offline solution, we present a deterministic online algorithm LS-RD with a tight competitive ratio of 3/2. When $$1\le \alpha

Suggested Citation

  • Yinfeng Xu & Rongteng Zhi & Feifeng Zheng & Ming Liu, 2022. "Competitive algorithm for scheduling of sharing machines with rental discount," Journal of Combinatorial Optimization, Springer, vol. 44(1), pages 414-434, August.
  • Handle: RePEc:spr:jcomop:v:44:y:2022:i:1:d:10.1007_s10878-021-00836-9
    DOI: 10.1007/s10878-021-00836-9
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    References listed on IDEAS

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    1. György Dósa & Yong He, 2006. "Scheduling with machine cost and rejection," Journal of Combinatorial Optimization, Springer, vol. 12(4), pages 337-350, December.
    2. Fang, Debin & Wang, Jiancheng, 2020. "Horizontal capacity sharing between asymmetric competitors," Omega, Elsevier, vol. 97(C).
    3. Juanjuan Qin & Kun Wang & Ziping Wang & Liangjie Xia, 2020. "Revenue sharing contracts for horizontal capacity sharing under competition," Annals of Operations Research, Springer, vol. 291(1), pages 731-760, August.
    4. Dai, Wenqiang & Dong, Yucheng & Zhang, Xiaotian, 2016. "Competitive analysis of the online financial lease problem," European Journal of Operational Research, Elsevier, vol. 250(3), pages 865-873.
    5. Liang Guo & Xiaole Wu, 2018. "Capacity Sharing Between Competitors," Management Science, INFORMS, vol. 64(8), pages 3554-3573, August.
    6. Adhau, Sunil & Mittal, M.L. & Mittal, Abhinav, 2013. "A multi-agent system for decentralized multi-project scheduling with resource transfers," International Journal of Production Economics, Elsevier, vol. 146(2), pages 646-661.
    7. Islam Akaria & Leah Epstein, 2020. "An optimal online algorithm for scheduling with general machine cost functions," Journal of Scheduling, Springer, vol. 23(2), pages 155-162, April.
    8. Seok, Hyesung & Nof, Shimon Y., 2014. "Dynamic coalition reformation for adaptive demand and capacity sharing," International Journal of Production Economics, Elsevier, vol. 147(PA), pages 136-146.
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    Cited by:

    1. Peng Liu & Ying Chen, 2022. "Differential Game Model of Shared Manufacturing Supply Chain Considering Low-Carbon Emission Reduction," Sustainability, MDPI, vol. 14(18), pages 1-24, September.
    2. Yuriy Ekhlakov & Sergei Saprunov & Pavel Senchenko & Anatoly Sidorov, 2023. "Fuzzy Model for Determining the Risk Premium to the Rental Rate When Renting Technological Equipment," Mathematics, MDPI, vol. 11(3), pages 1-18, January.

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