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A heuristic for balancing the inventory level of different locations through lateral shipments

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  • Tiacci, Lorenzo
  • Saetta, Stefano

Abstract

Solving transshipment problems to optimality is difficult, unless several simplifying hypotheses are assumed (such as unit-sized customer demands and replenishments, negligible replenishment lead time, etc.). For this reason, some heuristics have been recently proposed in order to provide rules, which incorporate relevant factors of the problem, to find conditions under which it makes sense to transship a certain number of units from one retailer to another. Most of these studies concern emergency transshipment, which means that shipments between locations can occur only when a shortage happens, and shipments are assumed to be fast enough to satisfy the location in shortage. When this assumption is not feasible, as in many real cases, transshipments between locations have to be performed before a shortage happens. The paper addresses this case, which can be named 'preventive' transshipment, where the inventory level of different locations at the same echelon is balanced through lateral shipments, before a shortage happens. A heuristic for deciding on transshipment policy (when to transship and how much), trying to minimise overall expected costs, is presented. A simulation study considering different scenarios is performed and results confirm the effectiveness of the heuristic.

Suggested Citation

  • Tiacci, Lorenzo & Saetta, Stefano, 2011. "A heuristic for balancing the inventory level of different locations through lateral shipments," International Journal of Production Economics, Elsevier, vol. 131(1), pages 87-95, May.
  • Handle: RePEc:eee:proeco:v:131:y:2011:i:1:p:87-95
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    References listed on IDEAS

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    Cited by:

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    4. García-Benito, Juan Carlos & Martín-Peña, María-Luz, 2021. "A redistribution model with minimum backorders of spare parts: A proposal for the defence sector," European Journal of Operational Research, Elsevier, vol. 291(1), pages 178-193.
    5. Van der Heide, G. & Roodbergen, K.J., 2013. "Transshipment and rebalancing policies for library books," European Journal of Operational Research, Elsevier, vol. 228(2), pages 447-456.
    6. Dehghani, Maryam & Abbasi, Babak & Oliveira, Fabricio, 2021. "Proactive transshipment in the blood supply chain: A stochastic programming approach," Omega, Elsevier, vol. 98(C).
    7. Feng, Pingping & Wu, Feng & Fung, Richard Y.K. & Jia, Tao, 2018. "Evaluation of two transshipment policies in a two-location decentralized inventory system under partial backordering," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 118(C), pages 207-224.
    8. Tai, Allen H. & Ching, Wai-Ki, 2014. "Optimal inventory policy for a Markovian two-echelon system with returns and lateral transshipment," International Journal of Production Economics, Elsevier, vol. 151(C), pages 48-55.
    9. 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).

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