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The dynamic transshipment problem

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  • Yale T. Herer
  • Michal Tzur

Abstract

We investigate the strategy of transshipments in a dynamic deterministic demand environment over a finite planning horizon. This is the first time that transshipments are examined in a dynamic or deterministic setting. We consider a system of two locations which replenish their stock from a single supplier, and where transshipments between the locations are possible. Our model includes fixed (possibly joint) and variable replenishment costs, fixed and variable transshipment costs, as well as holding costs for each location and transshipment costs between locations. The problem is to determine how much to replenish and how much to transship each period; thus this work can be viewed as a synthesis of transshipment problems in a static stochastic setting and multilocation dynamic deterministic lot sizing problems. We provide interesting structural properties of optimal policies which enhance our understanding of the important issues which motivate transshipments and allow us to develop an efficient polynomial time algorithm for obtaining the optimal strategy. By exploring the reasons for using transshipments, we enable practitioners to envision the sources of savings from using this strategy and therefore motivate them to incorporate it into their replenishment strategies. © 2001 John Wiley & Sons, Inc. Naval Research Logistics 48:386–408, 2001

Suggested Citation

  • Yale T. Herer & Michal Tzur, 2001. "The dynamic transshipment problem," Naval Research Logistics (NRL), John Wiley & Sons, vol. 48(5), pages 386-408, August.
    • Handle: RePEc:wly:navres:v:48:y:2001:i:5:p:386-408
    DOI: 10.1002/nav.1025
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    References listed on IDEAS

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    Cited by:

    1. van Wijk, A.C.C. & Adan, I.J.B.F. & van Houtum, G.J., 2019. "Optimal lateral transshipment policies for a two location inventory problem with multiple demand classes," European Journal of Operational Research, Elsevier, vol. 272(2), pages 481-495.
    2. Paterson, Colin & Kiesmüller, Gudrun & Teunter, Ruud & Glazebrook, Kevin, 2011. "Inventory models with lateral transshipments: A review," European Journal of Operational Research, Elsevier, vol. 210(2), pages 125-136, April.
    3. Rakiz, Asma & Absi, Nabil & Fenies, Pierre, 2023. "Comparing approaches for a multi-level planning problem in a mining industry," International Journal of Production Economics, Elsevier, vol. 265(C).
    4. Andy Wei‐Di Wu & David Ming‐Huang Chiang, 2011. "Fashion products with asymmetric sales horizons," Naval Research Logistics (NRL), John Wiley & Sons, vol. 58(5), pages 490-506, August.
    5. Cem Deniz Caglar Bozkir & O. Erhun Kundakcioglu & Andrea C. Henry, 2022. "Hospital service levels during drug shortages: Stocking and transshipment policies for pharmaceutical inventory," Journal of Global Optimization, Springer, vol. 83(3), pages 565-584, July.
    6. Cavagnini, Rossana & Bertazzi, Luca & Maggioni, Francesca, 2022. "A rolling horizon approach for a multi-stage stochastic fixed-charge transportation problem with transshipment," European Journal of Operational Research, Elsevier, vol. 301(3), pages 912-922.
    7. Maxime C. Cohen & Ngai-Hang Zachary Leung & Kiran Panchamgam & Georgia Perakis & Anthony Smith, 2017. "The Impact of Linear Optimization on Promotion Planning," Operations Research, INFORMS, vol. 65(2), pages 446-468, April.
    8. Naderi, Siamak & Kilic, Kemal & Dasci, Abdullah, 2020. "A deterministic model for the transshipment problem of a fast fashion retailer under capacity constraints," International Journal of Production Economics, Elsevier, vol. 227(C).
    9. Andrew Lim & Zhaowei Miao & Brian Rodrigues & Zhou Xu, 2005. "Transshipment through crossdocks with inventory and time windows," Naval Research Logistics (NRL), John Wiley & Sons, vol. 52(8), pages 724-733, December.

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