Influence factor analysis and prediction models for component removal time in manufacturing
作者： Guangdong Tian , Jiangwei Chu , Tiangang Qiang
关键词:
摘要: Disassembly issues are important in the sustainable manufacturing field. One of them is influence factor analysis and time prediction product disassembly. To deal with such issue, taking bolt as a removal object, this work designs its experiment considering some factors influencing process. Moreover, ranking on performed by grey relational method. In addition, based analysed obtained main time, models established multiple linear regressions, artificial neural networks optimized genetic algorithm methods. A numerical example given to illustrate proposed effectiveness
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