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Robust inventory management with multiple supply sources

Chen Xie, Liangquan Wang and Chaolin Yang

European Journal of Operational Research, 2021, vol. 295, issue 2, 463-474

Abstract: We study a robust rolling horizon model for a periodically reviewed inventory system with multiple supply sources with general lead times. We restrict the demands in an uncertainty set without knowing the distributions. We prove that under some appropriate conditions, the robust optimal policy for multiple sourcing is a combination of the base-stock policy and a gap-of-base-stock policy with capping effect on supply sources except the fastest source. In particular, the structure of this policy is not a natural extension of the robust optimal policy for the system with two supply sources, for which the recent literature shows that the robust optimal policy is a dual-index, dual-base-stock policy that caps the slow order. We also derive closed-form expressions of the robust optimal policy for the central limit theorem (CLT) uncertainty set. We numerically testify to the effectiveness of the structure of the robust optimal policy for more than two supply sources using both simulation demand and real sales data. The computational results are promising.

Keywords: Inventory; Inventory policy; Multiple supply sources; Rolling horizon; Robust optimization (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:295:y:2021:i:2:p:463-474

DOI: 10.1016/j.ejor.2021.03.001

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European Journal of Operational Research is currently edited by Roman Slowinski, Jesus Artalejo, Jean-Charles. Billaut, Robert Dyson and Lorenzo Peccati

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