Optimization of Closed-Loop Supply Chain Problem for Calculation Logistics Cost Accounting

Abstract

This paper aims to build closed loop supply chain model (CLSCM) and propose a multi-objective genetic algorithm. This paper designs the method of calculation for a solution using optimization algorithms with the priority-based genetic algorithm (priGA), and Adaptive Weight Approach (AWA).In this paper, we present a multi-objective closed loop supply chain model in integrated logistics system. We formulated a mathematical model with two objectives functions: (1) minimize transportation cost, open cost, inventory cost, purchase cost, disposal cost and saving cost of integrated facilities of CLSCM, (2) minimize the delivery time tardiness in all periods. Finally, a simulation is investigated to demonstrate the applicability of the proposed multi-objective closed loop supply chain model (CLSCM) and solution approaches.