4.7 Article

Model and exact solution for a two-echelon inventory routing problem

Journal

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
Volume 59, Issue 10, Pages 3109-3132

Publisher

TAYLOR & FRANCIS LTD
DOI: 10.1080/00207543.2020.1746428

Keywords

inventory routing; two-echelon; matheuristic; branch-and-cut; valid inequalities

Funding

  1. Region Auvergne-Rhone-Alpes, France: ARC 2016 [08]

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This paper introduces a new version of the Inventory Routing Problem which considers a two-echelon system with indirect deliveries and routing decisions at both levels. It presents a mathematical formulation, a branch-and-cut algorithm, and a two-step matheuristic to solve the problem for different inventory policies and routing configurations, while introducing new valid inequalities for the two-echelon system. Computational experiments demonstrate the efficiency of the proposed method in solving small to medium-scale instances and finding feasible solutions for all instances.
The classic version of the Inventory Routing Problem considers a system with one supplier that manages the inventory level of a set of customers. The supplier defines when and how much products to supply and how to combine customers in routes while minimising storage and transportation costs. We present a new version of this problem that considers a two-echelon system with indirect deliveries and routing decisions at both levels. In this variant, the products are delivered to customers through distribution centres to meet demands with a minimum total cost. We propose a mathematical formulation and a branch-and-cut algorithm combined with a two-step matheuristic to solve the proposed problem for different inventory policies and routing configurations. Intrinsic new valid inequalities to the two-echelon system are introduced. We analyse the efficiency of the new valid inequalities as well as the already known valid inequalities from the literature. Computational experiments are presented for a new set of benchmark instances. The results show that, for the simplest inventory policy, the proposed method is able to solve small and some medium-scale instances to the proven optimality and find feasible solutions for all instances.

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