Multi-objective optimization models for reverse logistics: a systematic review

The expansion of markets, technological advances, and the reduction in the life cycle of products have resulted in an increase in the generation of waste from post-consumer goods, becoming a global concern due to the environmental impacts caused by inadequate disposal. Reverse logistics planning and operations are fundamental to the pursuit of environmental, social, and economic sustainability. In this context, this work presents a systematic review literature on optimization models for reverse logistics to identify those include environmental and social objectives to economic objectives, such as reducing operational costs. The aim is to analyze the main characteristics of the approaches proposed for the problem and evaluate new perspectives for future research. The results show that there are several studies in the literature that propose different models and methods of solving the problem, but there are relatively few studies that address economic, environmental, and social objectives in a combined way.