A multilevel approach for modelling vehicle routing problem with uncertain travelling time

Yufu Ning () and Taoyong Su ()
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Yufu Ning: Shandong Youth University of Political Science
Taoyong Su: Tongji University

Journal of Intelligent Manufacturing, 2017, vol. 28, issue 3, No 20, 683-688

Abstract: Abstract Vehicle routing problem is concerned with finding optimal collection or delivery routes in a transportation network, beginning and ending at a central depot, for a fleet of vehicles to serve a set of customers under some constraints. Assuming the travel times between two customers are uncertain variables, this paper proposes an uncertain multilevel programming model for a vehicle routing problem, of which the leader’s object is to minimize the total waiting times of the customers, and the followers’ objects are to minimize the waiting times of the vehicles for the beginning moments of the customers’ time windows. The uncertain multilevel programming model is transformed into a determinacy programming model, and an intelligent algorithm is designed for solving the crisp model.

Keywords: Vehicle routing problem; Multilevel programming; Uncertainty theory; Uncertain programming (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (5)

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DOI: 10.1007/s10845-014-0979-3

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