Redesign of a sustainable reverse supply chain under uncertainty: A case study

This paper presents a Stochastic Multi-Objective Mixed Integer Non-Linear Problem (SMOMINLP) to redesign the sustainable supply chain to recycle certain products. The model integrates economic, environmental and social objectives to support strategic decisions such as facility location, material flow design and transport selection. The environmental impact objective is calculated through the Life Cycle Assessment (LCA) methodology using the Eco-indicator 99 method. A multi-criteria programming approach algorithm to manage several objectives linked with stochastic programming to address uncertainty is developed in this investigation. In addition, to assess the solutions obtained and to reduce the uncertainty effect on decision-making, a performance indicator is proposed. Model feasibility has been tested in Cuba. In this case study, the redesign of a supply chain for plastic recycling is examined. The experimental results show supply chain configurations that improve sustainability performance.