The optimal distmantling model of end life vehicles under uncertainty

• Main Authors: Jin-Zhong Xu, 許金鐘
• Other Authors: Hung-Yueh Lin
• Format: Others
• Language: zh-TW
• Published: 2011
• Online Access: http://ndltd.ncl.edu.tw/handle/05613824485129183003

碩士 === 朝陽科技大學 === 環境工程與管理系碩士班 === 99 === Components of end life vehicles (ELV) are valuable but harmful to the environment if not properly dismantled and treated. To evaluate the optimal strategy of ELV dismantling, the dismantlers in Taiwan were explored in this study. Life cycle analysis and cost factors analysis of ELV components are implemented to assess the environmental impacts and cost/benefit effect. Monte Carlo simulation was also applied to assess the range of cost factor and environmental impact. A gray optimization model which incorporated with the uncertainty information was established to evaluate the optimal dismantling strategy. The goals of this model were to minimize environmental impact and to maximize economic benefits of a dismantler. Based on the foregoing analysis, the parts to be dismantled in a descending order of profit were engine, suspension, wheels, and automotive cable. While in viewpoints of environmental impacts, lead-acid batteries, mercury-containing components, refrigerants, and airbags were suggested to be removed in serial. In addition, subsidy policy based on the avoided environmental impacts over work hours is suggested rather than the existing regulated items removal and fixed subsidy. Based on the model results, the suggested subsidy can reduce 65% with the identical level of the existing subsidy. To meet the goal of 85% recycling rate by dismantling, the subsidy might be raised to 1,357 NTD to cover the man-hour cost of 95% dismantlers by uncertainty analysis.