Fuzzy multi-objectives production and distribution planning in a sustainable supply chain

Optimizing the supply chain planning problem (SCPP) is a critical strategic decision, but the complexity of the supply chain system (SCS) presents challenges. Factors like facility location and environmental considerations impact supply chain planning, creating a trade-off between objective functions. To address these issues, exploring diverse approaches is crucial for effective supply chain management. Although multi-objective optimization (MOO) is commonly used in production planning, choosing the right strategy and solution method is still an area of interest. The success of the model hinges on decision-making variables in the facility location selection process.In this study, a weighted average satisfaction approach using fuzzy multi-objective linear programming (FMOLP) is applied to accommodate the uncertain demand in facility selection within a multi-echelon supply chain network. The objective is to design a sustainable supply chain that considers multiple goal functions in the manufacturing system's forward flow, focusing on a single product with uncertain demand to be transported between facilities. Specifically, three objective functions are taken into account: the utilization of recycled raw materials, operational costs, and environmental impact. Reliable and generated data from credible sources are used to support the analysis conducted in this study.The research aims to bring several benefits to the case company, encompassing the establishment of criteria for evaluating sustainable production and warehousing. Additionally, it seeks to implement a reliable and efficient assessment of sustainable performance. The ultimate goal is to aid decision-makers in effectively organizing the transportation, production, and warehousing planning process. The primary result of weighted average satisfaction is 89.50%. From the sensitive analysis, the selected weighted average satisfaction is 94.81%.

供应链规划问题（Supply Chain Planning Problem, SCPP）的优化属于关键战略决策范畴，但供应链系统（Supply Chain System, SCS）的复杂性带来了诸多现实挑战。诸如设施选址与环境考量等因素会对供应链规划产生影响，进而在各目标函数间形成权衡关系。为破解此类难题，探索多元解决方案对实现高效供应链管理至关重要。尽管多目标优化（Multi-Objective Optimization, MOO）已广泛应用于生产规划领域，但如何选择恰当的策略与求解方法仍是当前研究热点。该模型的有效性高度依赖设施选址决策过程中的各类决策变量。
本研究采用基于模糊多目标线性规划（Fuzzy Multi-Objective Linear Programming, FMOLP）的加权平均满意度方法，以应对多级供应链网络中设施选址环节的不确定需求问题。本研究的目标是构建可持续供应链，在制造系统的正向物流流程中兼顾多项目标函数，聚焦于需在各设施间运输的单种不确定需求产品。具体而言，本次研究共考量三类核心目标函数：再生原材料利用率、运营成本与环境影响。本研究的分析过程采用了来自可信渠道的可靠生成数据集。
本研究旨在为案例企业带来多重收益，包括建立可持续生产与仓储的评估标准体系。此外，本研究还旨在实现对可持续绩效的可靠且高效评估。本研究的最终目标是辅助决策者高效统筹运输、生产与仓储规划流程。加权平均满意度的初始结果为89.50%；通过敏感性分析后，最终选定的加权平均满意度为94.81%。