Green routing in a two-level network of cross docks given the shipping price (Case study: Pegah Co.)

Abstract

In this study, a green routing model is provided in a two-level network of cross-docking given the shipping price. Three objectives were proposed in this model including total cost reduction, shipping costs reduction, and carbon emissions reduction. The overall objective of the model is to get the best route in the distribution network which will impose the least cost and also minimizes emissions of environmental pollutants. For the model to approach the real situation, Pegah corporation’s warehouses and distribution network are considered as a case study. Solving the developed model was carried out by GAMS. By the size of the problem increases, the running time of the program is notably increased and this means the problem is np-hard. So in order to solve the model in medium and large dimensions, we used a meta-heuristic genetic algorithm. The results of investigating various problems with meta-heuristics indicate the high performance of the proposed algorithm in terms of the time needed and the response achieved. Results indicated that the proposed model reduced the emission of environmental pollutants along with total cost and shipping cost reduction. Also given the time window, the products were shipped to customers in a timely manner.