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

Shenle Pan () and Eric Ballot ()
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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

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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.

Keywords: Coupled simulation optimization model; Open tracing container; Repositioning problem; Internet of things (search for similar items in EconPapers)
Date: 2015-02-18
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Published in Springer. Service Orientation in Holonic and Multi-agent Manufacturing, 594, pp.281-291, 2015, Studies in Computational Intelligence, ⟨10.1007/978-3-319-15159-5_26⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-01491410

DOI: 10.1007/978-3-319-15159-5_26

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