Fuzzy theory applied in quality management of distributed manufacturing system: A literature review and classification
作者： Lv Yaqiong , Lee Ka Man , Wu Zhang , None
DOI: 10.1016/J.ENGAPPAI.2010.10.008
关键词: Data mining 、 Fuzzy logic 、 Quality assurance 、 Cluster analysis 、 Quality management 、 Fuzzy clustering 、 Fuzzy classification 、 Artificial intelligence 、 Fuzzy control system 、 Machine learning 、 Computer science 、 Fuzzy set operations 、 Fuzzy number
摘要: Fuzzy theory has been regarded as a very important technique for quality management (QM) of distributed manufacturing system and attracts the attentions academic industry; however, there is lack comprehensive literature review classification scheme it. This paper first fuzzy applied in system. It involves five most popular databases this research area covers more than 20 journals, proposes using clustering analysis method. Sixty-one journal articles were finally selected, reviewed classified. Each selected article was classified firstly based on four QM dimensions (quality planning, control, assurance improvement) elements/process each dimension. Sequentially, further by nine techniques which are regression, classification, clustering, inference, numbers, optimization, statistics data analysis. Among dimensions, improvement highest publications recent years decision making number main adopted improvement.
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