Optimization of green reverse logistics network Integrating artificial bee colony Algorithm and multi-agent system: case of medical waste

Abstract

Green logistics network refers to a green closed-loop supply chain(GCLSC), this network includes regular and reverse supply chain, and with the Growing of environmental concerns, the decision makers was enforced to improve the strategy of operating their supply chains by improving both economic objectives and environmental impacts, Nowadays the medical waste management become one of the important issues that attracts scientists, because of the potential environmental risks that can be generated by the mishandled of the medical waste. In this model we aim to optimize: (i) the reverse cost of the network including, collecting, processing, recycling of medical waste and transportation between each level (ii) the environmental emissions generated by the whole system, using artificial bee colony Algorithm hybrid multi-agent system