Potential production policies and distribution strategies for pharmaceutical products have attracted significant attention to sustainable development. End-of-life products have a severe impact on the ecological system. Thus, this paper has developed sustainable objectives in the pharmaceutical supply chain optimization framework with different constraints under uncertainty. The trade-off between socio-economic and environmental objectives is identified by ensuring the optimal allocation of different products among various echelons. Furthermore, three different solution approaches have suggested solving the proposed model. The Techniques for Order Preference by Similarity to Ideal Solution (TOPSIS) ranking method is used to rank the different solution sets. Apart from TOPSIS, multiple criteria such as baseline design, co-efficient of variance, and degree of desirability have been depicted to select the best compromise solution set. Finally, an industrial case study of a pharmaceutical company is presented to validate and demonstrate the modeling and optimization approach. The outcomes facilitate wholesome decision-making policies with the achievement of sustainable objectives and provide opportunities to further align business practices with social needs and expectations, which then promote long-term market value—recognizing the need for inter-dependence and cooperation results in a reduction in total economic costs and improvements in customers’ services, and less impact on the environment. Furthermore, by increasing customer coverage distance, the firm earns customer loyalty, which results in repurchasing behaviors. Similarly, customer satisfaction is a vital social factor concerning the TBL objectives and significantly impacts sustainable PSC planning. The in-depth managerial insights are also addressed based on the presented work. After reviewing the literature, this is the first attempt to analyze the socio-economic performance of the pharmaceutical supply chain considering uncertain parameters.

医药产品的潜在生产政策和分销策略已引起对可持续发展的极大关注。报废产品对生态系统产生严重影响。因此，本文在不确定性下具有不同约束的药品供应链优化框架中制定了可持续目标。社会经济和环境目标之间的权衡是通过确保不同产品在各个梯队之间的最佳分配来确定的。此外，三种不同的解决方案建议解决所提出的模型。使用与理想解相似度排序偏好技术（TOPSIS）排序方法对不同的解集进行排序。除了 TOPSIS 之外，还有多个标准，例如基线设计、方差系数、描述了选择最佳折衷解决方案集的合意程度。最后，展示了一家制药公司的工业案例研究，以验证和演示建模和优化方法。结果促进了有益的决策政策与可持续目标的实现，并提供了进一步使商业实践与社会需求和期望保持一致的机会，从而促进长期市场价值——认识到相互依赖和合作的必要性导致减少总经济成本和客户服务的改进，以及对环境的影响较小。此外，通过增加客户覆盖距离，公司赢得了客户忠诚度，从而产生了回购行为。相似地，客户满意度是有关 TBL 目标的重要社会因素，对可持续的 PSC 规划产生重大影响。深入的管理见解也基于所提出的工作得到解决。在查阅文献后，这是首次尝试在考虑不确定参数的情况下分析药品供应链的社会经济绩效。