Data Analytics for Manufacturing Systems – A Data-Driven Approach for Process Optimization
作者： Florian Ungermann , Andreas Kuhnle , Nicole Stricker , Gisela Lanza
DOI: 10.1016/J.PROCIR.2019.03.064
关键词:
摘要: Abstract In the course of digitalization many small and medium-sized companies face challenge using existing database for process optimization in manufacturing. Furthermore, demand-oriented expansion is a great challenge. A lack competencies, limited financial resources historically grown data structures, which show strong heterogeneity transparency, are central obstacles. specific approach, how analytics projects should be carried out manufacturing, presented. particular, question sensors implemented to expand answered. The approach applied exemplarily manufacturing line.
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