Multi-Objective Optimization for Sustainable Supply Chain and Logistics: A Review

There are several methods available for modeling sustainable supply chain and logistics (SSCL) issues. Multi-objective optimization (MOO) has been a widely used method in SSCL (SSCLM), nonetheless selecting suitable technique solution is still of interest as model performance highly dependent on decision-making variables the development process. This study provides insights from analysis 95 scholarly articles to identify research gaps MOO SSCLM assist decision-makers techniques methods. The results indicate that economic environmental aspects sustainability main context SSCLM, where social aspect limited. More SSCLMs sourcing, distribution, transportation phases required. Additionally, more sophisticated methods, including hybrid metaheuristics approaches, needed SSCLM.