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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 is not coming back to sender after usage). As part of a project to implement an affordable and efficient com-munication technology to publish the information from the logistics assets used in FMCG supply chains, we demonstrate with a simulation optimization ap-proach the benefit of knowing the position of the assets. The published events from the logistics supports are used to optimize their repositioning. A specific simulation optimization model is presented and the results are commented.

Keywords: Combinatorial simulation optimization model; Open Tracing Container; Repositioning problem; Internet of Things. (search for similar items in EconPapers)
Date: 2014-11-05
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Published in 4th Service Orientation in Holonic and Multi-Agent Manufacturing Control (SOHOMA14), Nov 2014, Nancy, France

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-01113273

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