A Sustainable Closed-Loop Supply Chain model
Résumé
We propose a multi-objective multi-period mixed-integer programming model for designing a Closed-Loop Supply Chain (CLSC) incorporating reverse logistic flows into an already existing supply chain. Three optimization objectives are considered: the first one is the economic profit maximization, the second one is the environmental impact minimization, and the last one is the employment maximization (social impact). Facilities can be located in different regions characterized by an initial level of pollution and unemployment rate. The decisions about facility location have impact on the final level of pollution and unemployment rate. Our goal is to restore the equity overall the considered regions. In order to achieve this goal, we use the Gini index for both environmental and social objectives. The model is tested on case study.