Hybrid metaheuristic solutions to inventory location routing problem

Ying Zhang, Mingyao Qi, Lixin Miao and Erchao Liu

Transportation Research Part E: Logistics and Transportation Review, 2014, vol. 70, issue C, 305-323

Abstract: This paper considers a supply chain network with multiple depots and geographically dispersed customers, each of which faces non-constant demand over a discrete planning horizon. The goal is to determine a set of depots to open, the delivery quantities to customers per period and the sequence in which they are replenished by a vehicle fleet such that the total system-wide cost is minimized. To solve it, first we construct a mixed integer program, and then propose a hybrid metaheuristic consisting of initialization, intensification and post-optimization. Results show that the proposed heuristic is considerably efficient and effective for many classical instances.

Keywords: Supply chain; Inventory location routing; Inventory-routing problem; Location-routing problem; Metaheuristic; Simulated annealing (search for similar items in EconPapers)
Date: 2014
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Citations: View citations in EconPapers (15)

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DOI: 10.1016/j.tre.2014.07.010

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