Developing A Sustainable Bi-Objective, Multi-Item, And Multi-Product Supply Chain Network Optimization Model For Perishable Products

Abstract

This paper proposes a multi-item, multi-products, multi-periods, and bi-objectives sustainable supply chain network (SSCN) design and planning model for perishable products. Considering the economic, environmental, and social sustainability factors, aiming to maximize the profit and minimize the gas emission and expiration of stored products using the first in first out (FIFO) inventory strategy.

The proposed model has been formulated using mixed integer non-linear programming (MINLP) and solved by GAMS software using two different solvers; DICOPT and SCIP, to study the processing time significance in each case. The model's behavior has been verified by solving a full-capacity scenario followed by two computational case studies for various trends of demands. The results give trust in using the developed model to design and plan the SSCN. The effect of different maximum allowable deviation values on the SSCN performance and the objectives has been studied.