Comparing industry 4.0 maturity models in the perspective of TQM principles using Fuzzy MCDM methods

Kerem Elibal and Eren Özceylan

Technological Forecasting and Social Change, 2022, vol. 175, issue C

Abstract: The purpose of this paper is to conduct a comparison for Industry 4.0 maturity models in the context of Total Quality Management (TQM) principles. TQM principles have been used as criteria for evaluating alternative Industry 4.0 maturity models. Because of the critics about TQM concept for having an inadequate theoretical foundation and highly expert insight dependent nature, fuzzy logic principles have been used. In this study, linguistic fuzzy Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method has been used for ranking and Decision Making Trial and Evaluation Laboratory (DEMATEL) method has been used for criteria weighting to determine which maturity model mostly fits TQM principles. Four Industry 4.0 maturity models have been evaluated according to seven criteria and 33 sub-criteria. According to the results, the model of Schumacher et al. (2016) has the highest score among the compared models. Another result is among the seven main criteria customer focus has the most influence and relationship management has the less, and among 33 sub-criteria risk identification has the most influence and relationship management has the less. Findings represented in this study can serve academicians and practitioners to compare, develop and/or improve Industry 4.0 maturity models.

Keywords: Industry 4.0; Maturity modeling; TQM; Maturity model comparison; Fuzzy TOPSIS; Fuzzy DEMATEL (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:175:y:2022:i:c:s0040162521008106

DOI: 10.1016/j.techfore.2021.121379

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