Presenting the Mathematical Model of Vehicle Routing Considering the Time Window and Customer Clustering using a Meta-Heuristic Algorithm

This research discusses the multi-objective modeling of vehicle routing by considering time windows, traffic conditions and customer clustering in mbazar online stores. Considering the traffic situation of Tehran city and the necessity of timely delivery of goods to customers, especially customers, it is necessary to consider the amount of traffic in the route of store vehicles. This research presents a two-objective model for the vehicle routing problem by considering priority time windows, traffic conditions, and customer clustering. The first objective is minimizing the transportation fleet costs and the second is maximizing customer satisfaction. The relevant indices have been calculated, and acceptable results have been obtained to compare the weed algorithm with the exact solution method of the mathematical model. Finally, a sensitivity analysis shows changes in the objective functions. According to the obtained results, with the increase in average dissatisfaction, the value of the first objective function is constant, but the value of the second objective function has increased. There has really been a lot of dissatisfaction.