Abstract
Abstract Supply chains play a significant role in global sustainability as they affect and are affected by several stakeholders, legislation, and cultures. When designing a supply chain it is critical to consider these elements so that a competitive advantage can be achieved in the long run. Simultaneously, governmental institutions need to understand the impact of sustainability measures in the financial performance of the companies. There is then the need to develop decision support tools that can assist in such decisions. However, the complexity, uncertainty, and subjectivity involved in these decisions hamper the development of such tools and literature in the field, as overviewed in this chapter. A multiobjective mixed integer linear programming model is presented with two different environmental and one social metrics being studied. The model is applied to a real case study and important managerial insights are discussed.
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