BI-Objective Function Optimization in The Supply Chain Model Using The Pareto Approach

Abstract

Supply chain development is a system that includes a series of processes from production to product delivery to consumers. This study modifies the supply chain model by using multiobjective optimization. The model is constructed to maximize manufacturing profits and minimize carbon gas emission waste. The optimal solution produces a pareto solution and then a single solution is determined by the weighting method. Based on the application, the maximum profit was obtained at Rp 27524404.46 and the minimum carbon gas emission waste was 325.86 kg with 143 crop blazer products, 43 basic blazer products, and 341 bag products. Sensitivity analysis on the increase in distance results in reduced product profits and increased carbon gas emission waste, while the increase in the number of products per shipment makes product profits increase and carbon gas emission waste decrease.