Green supply chain quantitative models for sustainable inventory management: A review

This paper provides a systematic and up-to-date review classification of 91 studies on quantitative methods green supply chains for sustainable inventory management. It particularly identifies the main study areas, findings models by setting point future research opportunities in seeks to that can better contribute deal with environmental impact challenge. More specifically, it focuses different chain designs (green chain, reverse logistics, closed-loop chain) broader application context. also most important variables parameters modelling from perspective. The includes comparative analysis mathematical programming, simulation statistical models, their solution approach, exact methods, simulation, heuristic or meta-heuristic algorithms, last which indicate increasing attention paid researchers recent years. recognise mixed integer linear programming supported metaheuristic algorithms as widely used approach. Minimisation costs greenhouse gas emissions are objectives reviewed approaches, while social aspects hardly addressed. contemplated management holding costs, quantity order, safety stock backorders. Demand is frequently shared information. Finally, tactical decisions, opposed strategical operational ones. • To systematically articles analyse analytical models. identify impact.