Abstract
PurposeThe main purpose of this paper is to analyse the current literature situation in terms of relationships between Industry 4.0 and quality management and TQM. The author wanted to understand what topics and issues can be considered the most relevant referring to the so-called Quality 4.0, what the literature is missing opening avenues for further research.Design/methodology/approachThis research employed a systematic literature review. In total, 75 papers from different sources were reviewed using specific inclusion and exclusion criteria.FindingsFour categories of topics emerged, namely: creating value within the company through quality (big) data, analytics and artificial intelligence; developing Quality 4.0 skills and culture for quality people; customer value co-creation; cyber–physical systems and ERP for quality assurance and control. This paper also tried to understand if there is a definition of Quality 4.0 based on determined methods.Research limitations/implicationsSystematic literature review could have introduced some limitations in terms of the number and reliability of reviewed papers. Probably some interesting papers had been not intentionally missed.Practical implicationsConsultants and managers in developing and implementing their own Quality 4.0 models could use many practical and discussed implications concerning I4.0 technologies and quality management.Originality/valueThis is one of the first papers which employed the systematic literature review for researching Industry 4.0, quality management and TQM relationships.
Subject
Strategy and Management,General Business, Management and Accounting,Business and International Management,General Decision Sciences
Cited by
151 articles.
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