The demand weighted vehicle routing problem

Jeffrey D. Camm, Michael J. Magazine, Saravanan Kuppusamy and Kipp Martin

European Journal of Operational Research, 2017, vol. 262, issue 1, 151-162

Abstract: In this paper, we present an exact method for the demand weighted vehicle routing problem. This problem arises when the objective is to minimize the distance traveled by the vehicles weighted by the number of passengers on the routes. The resulting model is a non-convex, mixed-integer quadratic program and we show how to reformulate this problem as a linear integer program with auxiliary variables. The reformulation provides very tight lower bounds on the optimal solution value and little enumeration is required. However, the reformulated model is very large and therefore, it is solved with a branch, price and cut algorithm. Using COIN-OR software, we provide computational results with actual data from a large urban university.

Keywords: Vehicle routing; Column generation; Dynamic programming; Integer programming; COIN-OR (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:262:y:2017:i:1:p:151-162

DOI: 10.1016/j.ejor.2017.03.033

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