Track: Sustainability and Green Systems

Abstract

Over the past decade, the increased global focus on sustainability forced organizations to integrate sustainability aspects into their supply chains. As a result, Green Vehicle Routing Optimization came into action to facilitate the reduction of adverse environmental impacts from distribution networks. This study presents a vehicle routing optimization model with the objectives of minimizing both operational cost and carbon emission considered in the form of a cost. Study has been carried out in four stages: a critical review of literature on Green Vehicle Routing Problem (GVRP); development of a mathematical model to minimize operational cost and carbon emission cost; development and tuning of Genetic Algorithm (GA) to solve the problem formulation using benchmarked instances. The final output of the model developed from this study can be used by logistics service providers to design their transportation networks for optimizing the carbon emission reduction and cost reduction.