A comprehensive assessment method for manufacturing system sustainability

被引：0
|
作者：
Yan, Wei [1 ]
Zhang, Hua [1 ]
Hon, K. K. B. [1 ]
Cao, Hua-Jun [1 ]
机构：
[1] Wuhan Univ Sci & Technol, Sch Machinery & Automat, Wuhan 430081, Hunan, Peoples R China
来源：
ADVANCED MATERIALS AND ENERGY SUSTAINABILITY | 2017年
基金：
美国国家科学基金会;
关键词：
Green manufacturing; machining system; sustainable evaluation; GA-BP neural network;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
Manufacturing system is one of the major factors to the sustainable development of manufacturing industry. A comprehensive assessment model for manufacturing system sustainability is provided in this paper. Firstly, an index selection principle of manufacturing system sustainability is discussed. Secondly, a sustainability assessment model of manufacturing system is established and the model is solved with Genetic Algorithm and Back Propagation Neural Network (GA-BP) hybrid algorithm. Finally, a case research is proved to demonstrate the validity of the proposed model and methods.
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页码：582 / 588
页数：7
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