An augmented weighted Tchebycheff method for solving a multi-objective green supply chain problem

A multi-periodic, multi-echelon green supply chain network consisting of manufacturing plants, potential distribution centers, and customers is developed in this research. The problem has three objectives including minimization of the total costs of the green supply chain network, maximization of the average safe inventory levels of the manufacturing plants and the distribution centers and minimization of the environmental impacts of the manufacturing plants in producing, holding and dispatching the products and also the environmental impacts of the distribution centers in holding and dispatching the products. The problem is first formulated as a mixed-integer mathematical model. Then, to solve the problem, one multi-objective decision-making (MODM) method called the augmented weighted Tchebycheff method is employed as a solution method to solve the proposed mathematical model. At the end, using a numerical example, the performance of the proposed solution method is analyzed.

Keywords:

Green supply chain , Reliability , Multi-objective optimization , Augmented weighted Tchebycheff method , GAMS