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A computational comparison of algorithms for the inventory routing problem

  • Combinatorial Optimization
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Abstract

The inventory routing problem is a distribution problem in which each customer maintains a local inventory of a product such as heating oil and consumes a certain amount of that product each day. Each day a fleet of trucks is dispatched over a set of routes to resupply a subset of the customers. In this paper, we describe and compare algorithms for this problem defined over a short planning period, e.g. one week. These algorithms define the set of customers to be serviced each day and produce routes for a fleet of vehicles to service those customers. Two algorithms are compared in detail, one which first allocates deliveries to days and then solves a vehicle routing problem and a second which treats the multi-day problem as a modified vehicle routing problem. The comparison is based on a set of real data obtained from a propane distribution firm in Pennsylvania. The solutions obtained by both procedures compare quite favorably with those in use by the firm.

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Part of this work was performed while this author was visiting the University of Waterloo.

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Dror, M., Ball, M. & Golden, B. A computational comparison of algorithms for the inventory routing problem. Ann Oper Res 4, 1–23 (1985). https://doi.org/10.1007/BF02022035

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