Multi-Objective Robust Optimization Approach for Green Routing Problem Considering Load-Dependent Time Window and Service Time

In today's world, transportation is one of the most important sectors of the economy that influence the process of economic development and is the core of business and the key to economic and social development. For this reason, researchers have focused on the issue of vehicle planning to reduce transportation costs and reduce pollution and traffic. In this study, a mathematical model for multiobjective transport optimization in the form of a mixed integer linear programming model is proposed. This thesis presents a multi-objective planning model for the green routing problem considering the time window for customer service and service time dependent on the amount of loading Also, a robust optimization approach has been used to address the uncertainties in the nature of the problem, which is another of the objectives of the present study Also, the first objective function is financial function and maximizes the problem of profit from the transport network, the second objective function is time function and minimizes the working time duration, the third objective function is also environmental function and the total amount of pollution created Minimizes Due to the uncertainty in the nature of the problem, in this research the problem under uncertainty is investigated and a robust optimization approach is used to deal with the uncertainty. The LP_metric approach is also used to solve the multi-objective model Plastonic Co. is considered as the case study of the present study. The research problem is solved in different dimensions and the results are reported. The results show that the developed algorithm offers optimal / near-optimal solutions at the right time than Lingo software.

کلیدواژه ها:

Green routing ، robust optimization ، time window ، multi-purpose