Design of robust energy consumption model for manufacturing process considering uncertainties

作者: Wei Liao , Akhil Garg , Liang Gao

DOI: 10.1016/J.JCLEPRO.2017.10.155

关键词:

摘要: Abstract In view of environment degradation, sustainable manufacturing has become a major focus in the production industry. Energy consumption is one key factor and also responsible for an increase cost. It found that machining parameters have considerable influence on both energy product quality. One way to optimize establish relationship between parameters. Thus, developing robust accurate models process urgent need ease negative environmental impacts. this context, evolutionary approach Gene Expression Programming considering uncertainties proposed. Two case studies are carried out validate effectiveness proposed approach. Uncertainties during modeling considered handled with designed set experiments. Experiments further performed robustness models. Further, 2D 3D plots employed analyze given Optimization then determine optimum inputs minimizes consumption.

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