Fuzzy sets and fuzzy logic: theory and applications
Fuzzy sets and fuzzy logic: theory and applications
Ranking fuzzy numbers based on decomposition principle and signed distance
Fuzzy Sets and Systems - Special issue on fuzzy numbers and uncertainty
Integrating multi-product production and distribution in newspaper logistics
Computers and Operations Research
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology - SBRN'02
Real Vehicle Routing and Dispatching with Dynamic Fuzzy Travel Times
WGEC '08 Proceedings of the 2008 Second International Conference on Genetic and Evolutionary Computing
A Study on Vehicle Routing Problem with Fuzzy Demands Based on Improved Tabu Search
ICCIS '12 Proceedings of the 2012 Fourth International Conference on Computational and Information Sciences
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In this article, a novel model for the solution of a fuzzy vehicle routing problem is presented. The model originates from a crisp MILP Mixed Integer Linear Programming model previously presented on a conference. This work is motivated by a business context of timber transportation. Within this context, uncertainties arise from the fact that the distances and times between pickup points are inherently fuzzy. The decisions to be made are routing decisions, truck assignment and the determination of the pickup order for a set of loads and available trucks. The paper also presents briefly how the model is implemented in the Microsoft Excel environment, utilizing the LP-solve freeware as the optimization engine. The model is also illustrated with a numerical example. To the authors knowledge, there are no previously reported vehicle routing MILP models, where the times and distances are allowed to be fuzzy numbers.