A new bi-objective mathematical model for sustainable dynamic cellular manufacturing systems

This study addresses dynamic cell configuration and labor assignment by making a trade-off between economic, social and environmental criteria which is called as sustainability configuration. In order to improve the study about energy loss, a new bi-objective mathematical model is presented. The first objective of model minimizes cost criteria and the second one energy loss which is represented by the efficiency of each machine. We develop a Non-dominated Sorting Genetic Algorithm (NSGA-II) in order to solve our model. The applicability of our approach is illustrated by two test problems.