A novel evolutionary approach to solve green logistic problems

• Main Authors: Anurag Tiwari, 阿努拉
• Other Authors: Pei-Chann Chang
• Format: Others
• Language: en_US
• Published: 2016
• Online Access: http://ndltd.ncl.edu.tw/handle/32135818933677207803

博士 === 元智大學 === 資訊管理學系 === 104 === Environment pollution has become a major threat for many countries. Many toxic gases such as Carbon dioxide, carbon monoxide and greenhouse gases are biggest contributors to the threats. Dump Products are another major contributors in environment pollution. Most of the manufacturing companies want to maximize their profits as well as minimize the environment pollution. Recently, with the environmental crisis, Green supply chain management and in particular closed loop supply chain model, has received considerable attention by researchers. In this research, we have considered two ways to minimize the carbon di oxide emission. In first stage we have examined the Green Vehicle routing problem, and in the Second Stage we have considered a closed loop green supply Chain problem. Green vehicle routing problem is a distance based approach to calculate the carbon dioxide emission whereas closed loop green supply chain is based on recycling and dump products. A block recombination approach is applied to solve the GVRP benchmark problem where each cluster represents a block and a hybrid territory defined evolutionary approach is applied to solve closed loop green supply chain problem. We compared the result with other well-known evolutionary algorithm. Computational result shows that the proposed methodology has promising results.