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

  • Beihang University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationProceedings - 2016 International Conference on Industrial Informatics - Computing Technology, Intelligent Technology, Industrial Information Integration, ICIICII 2016
EditorsWei Chen, Lida Xu, Pan Wang, Lida Xu
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages181-186
Number of pages6
ISBN (Electronic)9781509035755
DOIs
StatePublished - 18 Jan 2017
Event2016 International Conference on Industrial Informatics - Computing Technology, Intelligent Technology, Industrial Information Integration, ICIICII 2016 - Wuhan, Hubei, China
Duration: 3 Dec 20164 Dec 2016

Publication series

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

Conference

Conference2016 International Conference on Industrial Informatics - Computing Technology, Intelligent Technology, Industrial Information Integration, ICIICII 2016
Country/TerritoryChina
CityWuhan, Hubei
Period3/12/164/12/16

Keywords

  • PLS-SEM
  • big data
  • customer satisfaction index
  • macro-quality evaluation
  • macro-quality index

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