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The floating stock policy in fast moving consumer goods supply chains

Author

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  • Pourakbar, Morteza
  • Sleptchenko, Andrei
  • Dekker, Rommert

Abstract

The floating stock distribution concept exploits intermodal transport to deploy inventories in a supply chain in advance of retailer demand. In this way response times are reduced and storage costs can be reduced as well by having products in the pipeline. In this paper we present two mathematical models to analyse this policy with backlogging allowed. The first one tries to optimize the advanced shipping time of containers to intermodal terminal, and the second optimizes the total number of containers in pipeline and terminal. A comparison is made with the simulation outcomes of applying previously developed strategies, which shows that this concept has advantages in inventories over other strategies.

Suggested Citation

  • Pourakbar, Morteza & Sleptchenko, Andrei & Dekker, Rommert, 2009. "The floating stock policy in fast moving consumer goods supply chains," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 45(1), pages 39-49, January.
    • Handle: RePEc:eee:transe:v:45:y:2009:i:1:p:39-49
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    Cited by:

    1. Noha A. Mostafa & Omar Eldebaiky, 2023. "A Sustainable Two-Echelon Logistics Model with Shipment Consolidation," Logistics, MDPI, vol. 7(1), pages 1-14, March.
    2. Yu, Vincent F. & Aloina, Grace & Eccarius, Timo, 2023. "Adoption intentions of home-refill delivery service for fast-moving consumer goods," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 171(C).
    3. Rob A. Zuidwijk & Albert W. Veenstra, 2015. "The Value of Information in Container Transport," Transportation Science, INFORMS, vol. 49(3), pages 675-685, August.
    4. Zhengyi Li, 2019. "Optimal Utilization of Ports’ Free-of-Charge Times in One Distribution Center and Multiple Ports Inventory Systems," Complexity, Hindawi, vol. 2019, pages 1-12, February.
    5. Choi, Tsan-Ming, 2013. "Local sourcing and fashion quick response system: The impacts of carbon footprint tax," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 55(C), pages 43-54.
    6. Péter Bajor & Adrián Horváth, 2008. "The role of decision-making parameters in constructing and re-engineering of distribution networks," Proceedings Papers of Business Sciences: Symposium for Young Researchers (FIKUSZ) 2008, in: László Áron Kóczy (ed.),FIKUSZ 2008 Business Sciences - Symposium for Young Researchers: Proceedings, pages 55-63, Óbuda University, Keleti Faculty of Business and Management.

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