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.

随着社会与环境议题日益受到广泛关注，将可持续性理念融入供应商选择与订单分配环节已成为至关重要的研究方向。本研究提出了一套整体性多阶段决策支持框架，用于解决多级供应链（multi-echelon supply chain）中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（multi-objective mixed-integer nonlinear programming）数学模型，并结合了模糊多准则决策（fuzzy multi-criteria decision making）技术与需求预测方法。针对多级供应链的多式联运网络（multi-modal transportation network），本框架对各类经济、环境与社会目标进行了优化。该数学模型的求解结果凸显了多式联运对总成本与总行程时间的影响。研究结果同时揭示了多式联运网络与供应链环境影响之间的内在关联。本研究提出的多阶段整体性决策支持框架，可用于开展供应链的可持续性综合分析工作。