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Coordinated Optimization of Production and Delivery Operations in Apparel Supply Chains Using a Hybrid Intelligent Algorithm

  • Zhaoxia Guo
  • Jingjie Chen
  • Guangxin Ou
  • Haitao Liu
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 849)

Abstract

This paper addresses a coordinated optimization problem of production and delivery operations in apparel supply chains. A fleet of heterogeneous vehicles are used to deliver the accessories produced on parallel machines to a number of apparel production plants. We consider the flexible vehicle departure time between the production and distribution. A novel hybrid intelligent solution framework is proposed to solve this problem, by decomposition the optimum-seeking process is simplified and the computational complexity is reduced. The effectiveness of proposed framework is evaluated by numerical experiments. Experimental results show that the proposed solution framework exhibits better optimization performance in terms of the solution quality and computational time than other state-of-the-art algorithms.

Keywords

Apparel supply chain Production scheduling Vehicle routing Intelligent algorithm 

References

  1. 1.
    Ullrich, C.A.: Integrated machine scheduling and vehicle routing with time windows. Eur. J. Oper. Res. 227, 152–165 (2013).  https://doi.org/10.1016/j.ejor.2012.11.049MathSciNetCrossRefzbMATHGoogle Scholar
  2. 2.
    Pundoor, G., Chen, Z.L.: Scheduling a production–distribution system to optimize the tradeoff between delivery tardiness and distribution cost. Naval Res. Logist. 52, 571–589 (2005).  https://doi.org/10.1002/nav.20100MathSciNetCrossRefzbMATHGoogle Scholar
  3. 3.
    Moons, S., Ramaekers, K., An, C., Arda, Y.: Integrating production scheduling and vehicle routing decisions at the operational decision level: a review and discussion. Comput. Ind. Eng. 104, 224–245 (2017).  https://doi.org/10.1016/j.cie.2016.12.010CrossRefGoogle Scholar
  4. 4.
    Chen, Z.-L.: Integrated production and outbound distribution scheduling: Review and extensions. Oper. Res. 58, 130–148 (2010).  https://doi.org/10.1287/opre.1080.0688CrossRefzbMATHGoogle Scholar
  5. 5.
    Gao, S., Qi, L., Lei, L.: Integrated batch production and distribution scheduling with limited vehicle capacity. Int. J. Prod. Econ. 160, 13–25 (2015).  https://doi.org/10.1016/j.ijpe.2014.08.017CrossRefGoogle Scholar
  6. 6.
    Amorim, P., Guenther, H.O., Almada-Lobo, B.: Multi-objective integrated production and distribution planning of perishable products. Int. J. Prod. Econ. 138, 89–101 (2012).  https://doi.org/10.1016/j.ijpe.2012.03.005CrossRefGoogle Scholar
  7. 7.
    Agnetis, A., Aloulou, M.A., Fu, L.-L.: Coordination of production and interstage batch delivery with outsourced distribution. Eur. J. Oper. Res. 238, 130–142 (2014).  https://doi.org/10.1016/j.ejor.2014.03.039MathSciNetCrossRefzbMATHGoogle Scholar
  8. 8.
    Eiben, A.E., Smith, J.: From evolutionary computation to the evolution of things. Nature 521, 476–482 (2015).  https://doi.org/10.1038/nature14544CrossRefGoogle Scholar
  9. 9.
    Goldberg, D.E.: Genetic Algorithms in Search, Optimization and Machine Learning. Addison-Wesley Pub. Co., Boston, MA (1989)zbMATHGoogle Scholar
  10. 10.
    Xu, D., Sun, K., Li, H.: Parallel machine scheduling with almost periodic maintenance and non-preemptive jobs to minimize makespan. Comput. Oper. Res. 35, 1344–1349 (2008).  https://doi.org/10.1016/j.cor.2006.08.015MathSciNetCrossRefzbMATHGoogle Scholar
  11. 11.
    Fiechter, C.N.: A parallel tabu search algorithm for large traveling salesman problems. Discret. Appl. Math. 51, 243–267 (1994).  https://doi.org/10.1016/0166-218x(92)00033-iMathSciNetCrossRefzbMATHGoogle Scholar
  12. 12.

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Zhaoxia Guo
    • 1
  • Jingjie Chen
    • 1
  • Guangxin Ou
    • 1
  • Haitao Liu
    • 1
  1. 1.Business SchoolSichuan UniversityChengduPeople’s Republic of China

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