TY - JOUR
T1 - A fault feature characterization based method for remanufacturing process planning optimization
AU - Wang, Han
AU - Zhigang, Jiang
AU - Zhang, Xugang
AU - Wang, Yanan
AU - Wang, Yan
PY - 2017/5/28
Y1 - 2017/5/28
N2 - Remanufacturing process planning plays a key role in implementing remanufacturing because it directly affects the remanufacturing cost as well as energy consumption and quality. Due to the uncertainty of the quality of returned used components, which are the raw materials for remanufacturing, remanufacturing process planning is far more complex than that for mass production of virgin products. In order to generate the optimal process planning, an optimization method is presented to characterize fault features for remanufacturing process planning. In this method, Fault Tree Analysis (FTA) and Fuzzy Comprehensive Evaluation (FCE) are applied to identify fault features and quantify damage degrees respectively, and Rule Reasoning (RR) and Operation Digraph (OD) methods are utilized to generate remanufacturing process plan alternatives, and then Genetic Algorithm (GA) and Artificial Neural Network (ANN) are integrated to the optimal alternative selection. Finally, a used worm gear is taken as an example to illustrate the validity and practicality of the proposed method of remanufacturing process planning, the results of which showed the proposed method is effective in optimization of remanufacturing process planning
AB - Remanufacturing process planning plays a key role in implementing remanufacturing because it directly affects the remanufacturing cost as well as energy consumption and quality. Due to the uncertainty of the quality of returned used components, which are the raw materials for remanufacturing, remanufacturing process planning is far more complex than that for mass production of virgin products. In order to generate the optimal process planning, an optimization method is presented to characterize fault features for remanufacturing process planning. In this method, Fault Tree Analysis (FTA) and Fuzzy Comprehensive Evaluation (FCE) are applied to identify fault features and quantify damage degrees respectively, and Rule Reasoning (RR) and Operation Digraph (OD) methods are utilized to generate remanufacturing process plan alternatives, and then Genetic Algorithm (GA) and Artificial Neural Network (ANN) are integrated to the optimal alternative selection. Finally, a used worm gear is taken as an example to illustrate the validity and practicality of the proposed method of remanufacturing process planning, the results of which showed the proposed method is effective in optimization of remanufacturing process planning
U2 - 10.1016/j.jclepro.2017.05.178
DO - 10.1016/j.jclepro.2017.05.178
M3 - Article
SN - 0959-6526
VL - 161
SP - 708
EP - 719
JO - Journal of Cleaner Production
JF - Journal of Cleaner Production
ER -