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

Sustainability

Tan Yigitcanlar¹  Duzgun Agdas²  Les Dawes²  Chamari Pamoshika Jayarathna² 

[1] School of Architecture and Built Environment, Queensland University of Technology, 2 George Street, Brisbane, QLD 4000, Australia;School of Civil and Environmental Engineering, Queensland University of Technology, 2 George Street, Brisbane, QLD 4000, Australia;

关键词: multi-objective optimization;    sustainable supply chain;    sustainable logistics;    supply chain uncertainty;    classical optimization methods;    metaheuristics optimization methods;   

DOI  :  10.3390/su132413617

来源: DOAJ

【 摘 要 】

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

【 授权许可】

Unknown