A multi-criteria decision framework for sustainable supplier selection and order allocation using multi-objective optimization and fuzzy approach

With the growing social and environmental concerns, the integration of sustainability in supplier selection and order allocation is of paramount importance. This research presents a holistic multi-phase decision-support framework to solve the sustainable supplier selection and order allocation problem for the multi-echelon supply chain. The framework comprises a multi-objective mixed-integer nonlinear programming mathematical model augmented with fuzzy multi-criteria decision making techniques and forecast demand. The various economic, environmental and social objectives were optimized for a multi-modal transportation network of a multi-echelon supply chain. The results of the mathematical model highlighted the impact of multi-modal transportation on the total cost and total travel time. The results also demonstrated the relationship between the multi-modal transport network and the environmental impact of the supply chain. The proposed multi-phase holistic decision support framework can be used in the comprehensive sustainability-based analysis of supply chains.

随着社会与环境相关议题日益受到重视，将可持续性理念融入供应商选择与订单分配环节已成为重中之重。本研究提出了一套全面的多阶段决策支持框架，用于解决多级供应链的可持续供应商选择与订单分配问题。该框架包含一个多目标混合整数非线性规划数学模型，并结合了模糊多准则决策技术与需求预测方法。针对多级供应链的多式联运网络，本研究优化了各类经济、环境与社会目标。数学模型的结果揭示了多式联运对总成本与总行程时间的影响。此外，研究结果还阐明了多式联运网络与供应链环境影响之间的关联。本研究提出的全面多阶段决策支持框架，可应用于供应链基于可持续性的综合分析。