作者: Dominik Flick , Li Ji , Patrick Dehning , Sebastian Thiede , Christoph Herrmann
DOI: 10.1016/J.PROCIR.2017.03.097
关键词: Standardization 、 Efficient energy use 、 Risk analysis (engineering) 、 Manufacturing systems 、 Energy (signal processing) 、 Principal component regression 、 Floor level 、 Engineering 、 Energy performance 、 Residual 、 Reliability engineering
摘要: Abstract Recent developments show an increasing interest in energy efficiency of different stakeholders like industry, customers and legislation. Against this background the paper provides insight how a data based evaluation on shop floor level could help to evaluate performance comparable manufacturing systems will provide incipient stages for improvement. The approach is mainly residual analyzing multiple linear regression models. Additionally through coefficient standardization influencing factors get quantified therefore directly identify fields