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Fourth party logistics routing problem with fuzzy duration time

Author

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  • Huang, Min
  • Cui, Yan
  • Yang, Shengxiang
  • Wang, Xingwei

Abstract

As fourth party logistics (4PL) has the power to integrate the supply chain, from the beginning of the 21st century, it has attracted more and more attention in many fields. As one of the most important aspects in 4PL, the fourth party logistics routing problem (4PLRP) is very difficult to solve because many issues, such as the selection of third party logistics, cost and time, need to be considered. In this paper, a 4PLRP with fuzzy duration time (4PLRPF) model is presented, which is to find a route of the minimum cost with constraints under uncertain environments, and fuzzy numbers are used to denote the uncertainty of the duration time on each node and arc. Fuzzy programming model is established according to the uncertainty theory. In order to solve the modeled 4PLRPF, a two-step genetic algorithm with the fuzzy simulation is designed to find approximate optimal solutions. Numerical experiments are carried out to investigate the performance of the proposed algorithm on a set of 4PLRPF instances. The experimental results show that the proposed method is a valuable tool for making decisions for the 4PLRPF.

Suggested Citation

  • Huang, Min & Cui, Yan & Yang, Shengxiang & Wang, Xingwei, 2013. "Fourth party logistics routing problem with fuzzy duration time," International Journal of Production Economics, Elsevier, vol. 145(1), pages 107-116.
    • Handle: RePEc:eee:proeco:v:145:y:2013:i:1:p:107-116
    DOI: 10.1016/j.ijpe.2013.03.007
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    References listed on IDEAS

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    1. Kuroda, Mitsuru & Wang, Zeng, 1996. "Fuzzy job shop scheduling," International Journal of Production Economics, Elsevier, vol. 44(1-2), pages 45-51, June.
    2. Sakawa, Masatoshi & Kubota, Ryo, 2000. "Fuzzy programming for multiobjective job shop scheduling with fuzzy processing time and fuzzy duedate through genetic algorithms," European Journal of Operational Research, Elsevier, vol. 120(2), pages 393-407, January.
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    Cited by:

    1. Xiaohu Qian & Min Huang & Qingyu Zhang & Mingqiang Yin & Xingwei Wang, 2018. "Mechanism design of incentive-based reverse auctions with loss-averse 3PLs under incomplete attributes," PLOS ONE, Public Library of Science, vol. 13(11), pages 1-20, November.
    2. Yi Tao & Ek Peng Chew & Loo Hay Lee & Yuran Shi, 2017. "A column generation approach for the route planning problem in fourth party logistics," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(2), pages 165-181, February.
    3. Mingqiang Yin & Min Huang & Xiaohu Qian & Dazhi Wang & Xingwei Wang & Loo Hay Lee, 2023. "Fourth-party logistics network design with service time constraint under stochastic demand," Journal of Intelligent Manufacturing, Springer, vol. 34(3), pages 1203-1227, March.

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