Solving the assignment of customers to trucks and visit days in a periodic routing real-world case1



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Pontificia Universidad Javeriana


Introduction: This work proposes a model and two heuristic algorithms to assign customers to trucks and visit days as a first phase in the solution of a real-world routing problem, which is closely related to the PVRP (Periodic Vehicle Routing Problem), but a strategic decision of the company imposes the additional constraint that every customer must always be visited by the same truck. Methods: The proposed model will group the customers that are visited the same day by the same truck as close as possible by means of centroid-based clustering. The first proposed heuristic has a constructive stage and three underlying improvement heuristics, while the second uses an exact linear programming algorithm. Results: The algorithms are evaluated by instances taken from the literature and generated, taking into account the characteristics presented in the real-world case. © 2018, Pontificia Universidad Javeriana. All rights reserved.


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Automobiles, Heuristic programming, Linear programming, Logistics, Sales, Trucks, Vehicle routing, Allocation, Clustering, Heuristics, Linear programming algorithm, Periodic routing, Periodic vehicle routing problem, Routing problems, Strategic decisions, Heuristic algorithms