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A scheduling model of logistics service supply chain based on the time windows of the FLSP’s operation and customer requirement

Author

Listed:
  • Weihua Liu

    (Tianjin University)

  • Yi Yang

    (Tianjin University)

  • Shuqing Wang

    (Tianjin University)

  • Enze Bai

    (Tianjin University)

Abstract

In the scheduling problem of logistics service supply chain (LSSC), the uncertainties of the functional logistics service provider’s (FLSP’s) operation time and customer requirement time will directly influence the logistics service integrator’s (LSI’s) time scheduling plan. In this paper, we explored the influences of time windows of the FLSP’s operation and customer requirement on the scheduling decision. A multi-objective programming model of the LSSC time scheduling is established, aiming to minimize total order operation cost of the LSSC, minimize the difference between the total expected operation time and customer requirement time, and maximize the satisfaction of functional logistics service providers. To simplify the model solution, this multi-objective model is changed into a single-objective model with ideal point method. In the following numerical analysis for a specific example, genetic algorithm is applied. The influences of some relevant parameters on the scheduling performance are discussed. Firstly, with the increases of FLSPs’ operation time range and the postponement proportionality coefficient of customer requirement time, the optimal scheduling performance of LSSC will increase and then tend to be stable. Secondly, the customer requirement time could not be compressed too much and have a minimum in order to obtain a feasible solution. Thirdly, the time windows of the FLSP’s operation and customer requirement have significant interactions. The time window of customer requirement will expand with the increase of the time window of the FLSP’s operation.

Suggested Citation

  • Weihua Liu & Yi Yang & Shuqing Wang & Enze Bai, 2017. "A scheduling model of logistics service supply chain based on the time windows of the FLSP’s operation and customer requirement," Annals of Operations Research, Springer, vol. 257(1), pages 183-206, October.
    • Handle: RePEc:spr:annopr:v:257:y:2017:i:1:d:10.1007_s10479-015-1794-8
    DOI: 10.1007/s10479-015-1794-8
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    1. Calvete, Herminia I. & Gale, Carmen & Oliveros, Maria-Jose & Sanchez-Valverde, Belen, 2007. "A goal programming approach to vehicle routing problems with soft time windows," European Journal of Operational Research, Elsevier, vol. 177(3), pages 1720-1733, March.
    2. Bhatnagar, Rohit & Mehta, Peeyush & Chong Teo, Chee, 2011. "Coordination of planning and scheduling decisions in global supply chains with dual supply modes," International Journal of Production Economics, Elsevier, vol. 131(2), pages 473-482, June.
    3. Schütz, Peter & Tomasgard, Asgeir & Ahmed, Shabbir, 2009. "Supply chain design under uncertainty using sample average approximation and dual decomposition," European Journal of Operational Research, Elsevier, vol. 199(2), pages 409-419, December.
    4. Da Silveira, Giovani & Borenstein, Denis & Fogliatto, Flavio S., 2001. "Mass customization: Literature review and research directions," International Journal of Production Economics, Elsevier, vol. 72(1), pages 1-13, June.
    5. Zhi-Long Chen & Nicholas G. Hall, 2007. "Supply Chain Scheduling: Conflict and Cooperation in Assembly Systems," Operations Research, INFORMS, vol. 55(6), pages 1072-1089, December.
    6. Garg, D. & Narahari, Y. & Viswanadham, N., 2006. "Achieving sharp deliveries in supply chains through variance pool allocation," European Journal of Operational Research, Elsevier, vol. 171(1), pages 227-254, May.
    7. Yao, Jianming & Liu, Liwen, 2009. "Optimization analysis of supply chain scheduling in mass customization," International Journal of Production Economics, Elsevier, vol. 117(1), pages 197-211, January.
    8. Wu, D. J. & Kleindorfer, P. R. & Zhang, Jin E., 2002. "Optimal bidding and contracting strategies for capital-intensive goods," European Journal of Operational Research, Elsevier, vol. 137(3), pages 657-676, March.
    9. Ancarani, A. & Di Mauro, C. & D'Urso, D., 2013. "A human experiment on inventory decisions under supply uncertainty," International Journal of Production Economics, Elsevier, vol. 142(1), pages 61-73.
    10. Esaignani Selvarajah & George Steiner, 2009. "Approximation Algorithms for the Supplier's Supply Chain Scheduling Problem to Minimize Delivery and Inventory Holding Costs," Operations Research, INFORMS, vol. 57(2), pages 426-438, April.
    11. Hsieh, Chung-Chi & Wu, Cheng-Han, 2008. "Capacity allocation, ordering, and pricing decisions in a supply chain with demand and supply uncertainties," European Journal of Operational Research, Elsevier, vol. 184(2), pages 667-684, January.
    12. Nicholas G. Hall & Chris N. Potts, 2003. "Supply chain scheduling: Batching and delivery," Operations Research, INFORMS, vol. 51(4), pages 566-584, August.
    13. Spinler, Stefan & Huchzermeier, Arnd, 2006. "The valuation of options on capacity with cost and demand uncertainty," European Journal of Operational Research, Elsevier, vol. 171(3), pages 915-934, June.
    14. Fogliatto, Flavio S. & da Silveira, Giovani J.C. & Borenstein, Denis, 2012. "The mass customization decade: An updated review of the literature," International Journal of Production Economics, Elsevier, vol. 138(1), pages 14-25.
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    2. Niu, Baozhuang & Xie, Fengfeng & Chen, Lei & Xu, Xin, 2020. "Join logistics sharing alliance or not? Incentive analysis of competing E-commerce firms with promised-delivery-time," International Journal of Production Economics, Elsevier, vol. 224(C).

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