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Optimising reorder intervals and order-up-to levels in guaranteed service supply chains

Abstract : We consider the problem of determining the optimal reorder intervals R and order-up-to levels S in a multi-echelon supply chain system where all echelons are assumed to have fixed ordering costs and to operate with a (R, S) policy with stationary nested power-of-two reorder intervals. By using the guaranteed service approach to model the multi-echelon system facing a stochastic demand, we formulate the problem as a deterministic optimisation model in order to simultaneously determine the optimal R and S parameters as well as the guaranteed service times. The model is a non-linear integer programming (NLIP) problem with a non-convex and non-concave objective function including rational and square root terms. Then, we propose a sequential optimisation procedure (SOP) to obtain near-optimal solutions with reasonable computational time. The numerical study demonstrates that for a general acyclic multi-echelon system with randomly generated parameters, the SOP is able to obtain near-optimal solutions of about 0.46% optimality gap in average in a few seconds. Moreover, we propose an improved direct approach using a global optimiser, bounding the decision variables in the NLIP model and considering the SOP solution as an initial solution. Numerical examples illustrate that this reduces significantly the computational time.
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Contributor : Ziad Jemai <>
Submitted on : Sunday, December 24, 2017 - 10:15:31 PM
Last modification on : Saturday, May 8, 2021 - 3:26:49 AM




Zied Jemai, Ayse Sena Eruguz, Evren Sahin, Yves Dallery. Optimising reorder intervals and order-up-to levels in guaranteed service supply chains. International Journal of Production Research, Taylor & Francis, 2014, 52 (1), pp.149 - 164. ⟨10.1080/00207543.2013.831188⟩. ⟨hal-01672392⟩



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