ABSTRACT

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.

摘要

随着社会和环境问题的日益增长，将可持续性整合到供应商选择和订单分配中至关重要。本研究提出了一个整体的多阶段决策支持框架，以解决多梯队供应链的可持续供应商选择和订单分配问题。该框架包括一个多目标混合整数非线性规划数学模型，该模型增强了模糊多标准决策技术和预测需求。针对多层次供应链的多式联运网络优化了各种经济、环境和社会目标。数学模型的结果突出了多式联运对总成本和总行程时间的影响。结果还证明了多式联运网络与供应链的环境影响之间的关系。所提出的多阶段整体决策支持框架可用于供应链的基于可持续性的综合分析。