Inventory allocation models for a two-stage, two-product, capacitated supplier and retailer problem with random demand

Kai Luo, Ramesh Bollapragada and Laoucine Kerbache

International Journal of Production Economics, 2017, vol. 187, issue C, 168-181

Abstract: The objective of this research is to develop an optimal inventory allocation methodology for a supply chain consisting of a capacitated retailer with limited shelf space, and two unreliable capacitated suppliers in an uncertain environment. We develop conceptual and analytical models that provide allocation preferences between shelf-space and warehouse in both deterministic and stochastic demand cases, and develop managerial insights based on them. For each case, we provide both a closed-form solution and a heuristic method, and illustrate the bounds on the optimal solution. Further, we show that the cost function is L⋄-convex in some cases. Finally, we prove that the expected profit decreases as the variance of demand increases.

Keywords: Supply chain management; Inventory management; Capacity allocation; Heuristic methods (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:proeco:v:187:y:2017:i:c:p:168-181

DOI: 10.1016/j.ijpe.2016.12.014

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