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Big Data Oriented Macro-Quality Index Based on Customer Satisfaction Index and PLS-SEM for Manufacturing Industry

  • Beihang University

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

The aim of this paper was to develop a novel macro-quality index driven by big quality data regarding the macro-quality management demands of manufacturing enterprises in Industry 4.0. Firstly, the connotation of big data of macro-quality management in manufacturing industry is expounded, which is the collection of the quality data in product lifecycle including the product quality data, process quality data and organizational ability data. Secondly, referring to the customer satisfaction index theory, a new big data oriented macro-quality index computation model based on the partial least square-structural equation modeling(PLS-SEM) theory is proposed, and the partial least square(PLS) is adopted to estimate the path parameters. Finally, a case study of macro-quality situation evaluation for the manufacturing industry of a city in China is presented. The final result shows that the proposed macro-quality index model is applicable and predictable.

源语言英语
主期刊名Proceedings - 2016 International Conference on Industrial Informatics - Computing Technology, Intelligent Technology, Industrial Information Integration, ICIICII 2016
编辑Wei Chen, Lida Xu, Pan Wang, Lida Xu
出版商Institute of Electrical and Electronics Engineers Inc.
181-186
页数6
ISBN(电子版)9781509035755
DOI
出版状态已出版 - 18 1月 2017
活动2016 International Conference on Industrial Informatics - Computing Technology, Intelligent Technology, Industrial Information Integration, ICIICII 2016 - Wuhan, Hubei, 中国
期限: 3 12月 20164 12月 2016

出版系列

姓名Proceedings - 2016 International Conference on Industrial Informatics - Computing Technology, Intelligent Technology, Industrial Information Integration, ICIICII 2016

会议

会议2016 International Conference on Industrial Informatics - Computing Technology, Intelligent Technology, Industrial Information Integration, ICIICII 2016
国家/地区中国
Wuhan, Hubei
时期3/12/164/12/16

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