Profitable Vehicle Routing Problem with Multiple Trips: Modeling and Variable Neighborhood Descent Algorithm

Abstract

In this paper, we tackle a new variant of the Veh icle Routing Problem (VRP) which comb ines two known variants namely the Profitable VRP and the VRP with Mult iple Trips. The resulting problem may be called the Profitable Vehicle Routing Problem with Multiple Trips. The main purpose is to cover and solve a more co mplex realistic situation of the distribution transportation. The profitability concept arises when only a subset of customers can be served due to the lack of means or for insufficiency of the offer. In this case, each customer is associated to an economical profit wh ich will be integrated to the objective function. The latter contains at hand the total collected profit minus the transportation costs. Each vehicle is allowed to perform several routes under a strict workday duration limit. This problem has a very practical interest especially for daily distribution schedules with limited vehicle fleets and short course transportation networks. We point out a new discursive approach for p rofits quantificat ion wh ich is mo re significant than those existing in the literature. We propose four equivalent mathematical formu lations for the problem which are tested and compared using CPLEX solver on small-size instances. Optimal solutions are identified. For large-size instance, two constructive heuristics are proposed and enhanced using Hill Climbing and Variable Neighborhood Descent algorithm based on a specific three-arrays-based coding structure. Finally, extensive co mputational experiments are performed including randomly generated instances and an extended and adapted benchmark fro m literature showing very satisfactory results.

Dynamic Demand Management and Online Tour Planning for Same-Day Delivery

“…Solving scenarios : The d-SDD-DMTP, as presented in Appendix C , is a profitable multi-trip vehicle routing problem (PVRPMT), and thus, belongs to the class of NP-hard problems ( Chbichib, Mellouli, & Chabchoub, 2012 ). Even more, the d-SDD-DMTP has to be solved for every scenario.…”

“…This MIP formulation is a generalization of a profitable multitrip vehicle routing problem (PVRPMT), which additionally considers time restrictions. It is an adaption of the PVRPMT formulation of Chbichib et al (2012) and of a multi-trip team orienteering problem with time windows formulation by Voccia et al (2019) .…”

A set covering based matheuristic for a real‐world city logistics problem

“…The multitrip variant has been mainly considered with attention to a possible real-world use, as in our case, thus it is not infrequent to find such variant combined with other problem elements, though never exactly those elements that are of interest to us. We have for example a combination with CDC location for proposing a simulated annealing in Huang and Lee (2011), a combination with profitable VRP using a variable neighborhood descent (VND) in Ahlem et al (2012), or a combination with a multizone request in Crainic et al (2012).…”