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Open Tracing Container Repositioning Simulation Optimization: A Case Study of FMCG Supply Chain

Author

Listed:
  • Shenle Pan

    (CGS i3 - Centre de Gestion Scientifique i3 - Mines Paris - PSL (École nationale supérieure des mines de Paris) - PSL - Université Paris sciences et lettres - I3 - Institut interdisciplinaire de l’innovation - CNRS - Centre National de la Recherche Scientifique)

  • Eric Ballot

    (CGS i3 - Centre de Gestion Scientifique i3 - Mines Paris - PSL (École nationale supérieure des mines de Paris) - PSL - Université Paris sciences et lettres - I3 - Institut interdisciplinaire de l’innovation - CNRS - Centre National de la Recherche Scientifique)

Abstract

The industry and retail chain use a huge number of low cost assets such as pallets, crates, plastic boxes… Until now the lack of affordable technology, in comparison with the cost of a single asset, stopped efforts to manage them in open loop supply chain (where the assets are not coming back to the sender after usage). As part of a project to implement an affordable and efficient communication technology and to publish the information from the logistics assets used in Fast Moving Consumer Goods' supply chains, we demonstrate with a simulation optimization approach the benefit of knowing the position of the assets. The published events from the logistics support are used to optimize their repositioning. A specific simulation optimization model is presented and the results are commented.

Suggested Citation

  • Shenle Pan & Eric Ballot, 2015. "Open Tracing Container Repositioning Simulation Optimization: A Case Study of FMCG Supply Chain," Post-Print hal-01491410, HAL.
    • Handle: RePEc:hal:journl:hal-01491410
    DOI: 10.1007/978-3-319-15159-5_26
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    Cited by:

    1. Luyao Wang & Hong Fan & Tianren Gong, 2018. "The Consumer Demand Estimating and Purchasing Strategies Optimizing of FMCG Retailers Based on Geographic Methods," Sustainability, MDPI, vol. 10(2), pages 1-17, February.

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