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Article Dans Une Revue International Journal of Production Economics Année : 2012

Stochastic optimization for transshipment problems with positive replenishment lead times

Enver Yucesan
  • Fonction : Auteur

Résumé

Transshipments, monitored movements of material at the same echelon of a supply chain, represent an effective pooling mechanism. Earlier papers dealing with transshipments either do not incorporate replenishment lead times into their analysis, or only provide a heuristic algorithm where optimality cannot be guaranteed beyond settings with two locations. This paper uses infinitesimal perturbation analysis by combining with a stochastic approximation method to examine the multi-location transshipment problem with positive replenishment lead times. It demonstrates the computation of optimal base stock quantities through sample path optimization. From a methodological perspective, this paper deploys a duality-based gradient computation method to improve computational efficiency. From an application perspective, it solves transshipment problems with non-negligible replenishment lead times. A numerical study illustrates the performance of the proposed approach.
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Dates et versions

hal-02312630 , version 1 (09-03-2020)

Identifiants

  • HAL Id : hal-02312630 , version 1

Citer

Yeming Gong, Enver Yucesan. Stochastic optimization for transshipment problems with positive replenishment lead times. International Journal of Production Economics, 2012, 135 (1), pp.61-72 P. ⟨hal-02312630⟩

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