A resource sharing solution optimized by simulation-based heuristic for garment manufacturing

  • Ke MaEmail author
  • Sébastien Thomassey
  • Xianyi Zeng
  • Lichuan Wang
  • Yan Chen


Although an increasing number of researches regarding inter-organizational supply chain collaboration (SCC) were conducted, the resource sharing (RS) in SCC is still an under-explored subject. Many RS models are successfully applied in various industries for improving the efficiency of manufacturing. Meanwhile, due to the demand of higher flexibility in the garment production recently, RS has become a novel method in order to optimize the industrial organization. This study explored the feasibility of applying RS in the manufacturing stage of garment supply chain. A KPI based on extended ANP approach was designed to evaluate overall performance of different RS scenarios. Furthermore, a simulation-based heuristic was developed to generate and optimize RS scenario. Finally, experiments based on a discrete-event simulation model of garment production were conducted to examine the performance of all RS scenarios. By comparing the outputs of RS scenario and traditional scenario, the simulation shows that garment manufacturers could get great benefits by applying RS. We also found that the opener garment manufacturers towards RS, the more benefits they can obtain.


Garment manufacturing Supply chain collaboration Resource sharing Discrete-event simulation Optimization heuristics Analytical network process 


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Copyright information

© Springer-Verlag London Ltd., part of Springer Nature 2018

Authors and Affiliations

  • Ke Ma
    • 1
    • 2
    • 3
    • 4
    Email author
  • Sébastien Thomassey
    • 1
  • Xianyi Zeng
    • 1
  • Lichuan Wang
    • 2
  • Yan Chen
    • 2
  1. 1.GEMTEX, ENSAIT (Ecole Nationale Supérieure des Arts et Industries Textiles)RoubaixFrance
  2. 2.College of Textile and Clothing EngineeringSoochow UniversitySuzhouChina
  3. 3.Department of Business Administration and Textile ManagementUniversity of BoråsBoråsSweden
  4. 4.Department of Automation and ProductionUniversity of LilleVilleneuve-d’AscqFrance

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