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Machine scheduling with pickup and delivery

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  • Chung‐Lun Li
  • Jinwen Ou

Abstract

The coordination of production, supply, and distribution is an important issue in logistics and operations management. This paper develops and analyzes a single‐machine scheduling model that incorporates the scheduling of jobs and the pickup and delivery arrangements of the materials and finished jobs. In this model, there is a capacitated pickup and delivery vehicle that travels between the machine and the storage area, and the objective is to minimize the makespan of the schedule. The problem is strongly NP‐hard in general but is solvable in polynomial time when the job processing sequence is predetermined. An efficient heuristic is developed for the general problem. The effectiveness of the heuristic is studied both analytically and computationally. © 2005 Wiley Periodicals, Inc. Naval Research Logistics, 2005.

Suggested Citation

  • Chung‐Lun Li & Jinwen Ou, 2005. "Machine scheduling with pickup and delivery," Naval Research Logistics (NRL), John Wiley & Sons, vol. 52(7), pages 617-630, October.
  • Handle: RePEc:wly:navres:v:52:y:2005:i:7:p:617-630
    DOI: 10.1002/nav.20101
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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.
    2. Li, Chung-Lun & Vairaktarakis, George & Lee, Chung-Yee, 2005. "Machine scheduling with deliveries to multiple customer locations," European Journal of Operational Research, Elsevier, vol. 164(1), pages 39-51, July.
    3. M Haouari & T Ladhari, 2000. "Minimising maximum lateness in a two-machine flowshop," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 51(9), pages 1100-1106, September.
    4. Chang, Yung-Chia & Lee, Chung-Yee, 2004. "Machine scheduling with job delivery coordination," European Journal of Operational Research, Elsevier, vol. 158(2), pages 470-487, October.
    5. Michael A. Langston, 1987. "Interstage Transportation Planning in the Deterministic Flow-Shop Environment," Operations Research, INFORMS, vol. 35(4), pages 556-564, August.
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    Cited by:

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    2. Ali Gharaei & Fariborz Jolai, 2021. "A Pareto approach for the multi-factory supply chain scheduling and distribution problem," Operational Research, Springer, vol. 21(4), pages 2333-2364, December.
    3. Lixin Tang & Hua Gong & Jiyin Liu & Feng Li, 2014. "Bicriteria scheduling on a single batching machine with job transportation and deterioration considerations," Naval Research Logistics (NRL), John Wiley & Sons, vol. 61(4), pages 269-285, June.
    4. B.‐Y. Cheng & J.Y.‐T. Leung & K. Li & S.‐L. Yang, 2015. "Single batch machine scheduling with deliveries," Naval Research Logistics (NRL), John Wiley & Sons, vol. 62(6), pages 470-482, September.
    5. Jing Fan & Hui Shi, 0. "A three-stage supply chain scheduling problem based on the nursing assistants’ daily work in a hospital," Journal of Combinatorial Optimization, Springer, vol. 0, pages 1-13.
    6. Simin Zhang & Haiqing Song, 2018. "Production and Distribution Planning in Danone Waters China Division," Interfaces, INFORMS, vol. 48(6), pages 578-590, November.
    7. Lei Lei & Hua Zhong & W. Art Chaovalitwongse, 2009. "On the Integrated Production and Distribution Problem with Bidirectional Flows," INFORMS Journal on Computing, INFORMS, vol. 21(4), pages 585-598, November.

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