4.6 Article

Selection Industry 4.0 maturity model using fuzzy and intuitionistic fuzzy TOPSIS methods for a solar cell manufacturing company

Journal

SOFT COMPUTING
Volume 25, Issue 15, Pages 10335-10349

Publisher

SPRINGER
DOI: 10.1007/s00500-021-05807-0

Keywords

Industry 4; 0; Maturity models; Fuzzy TOPSIS; Intuitionistic fuzzy TOPSIS

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The study employs various maturity models and compares them to find the most suitable one for Industry 4.0. By using the FTOPSIS and IFTOPSIS methods, the seven model properties are compared and the Impuls readiness maturity model is chosen by decision makers for a solar cell manufacturing company.
Maturity models help organizations identify the processes of transformation and needs by analyzing the current situation of production systems. Within the scope of Industry 4.0, in this study, several maturity models are used. Five maturity models that are mostly applied are reviewed to determine the maturity model that a manufacturing company would assess by considering Industry 4.0. Seven properties of the models are compared and analyzed with the fuzzy TOPSIS (FTOPSIS) and intuitionistic fuzzy TOPSIS (IFTOPSIS) methods. Industry 4.0 maturity models, the number of dimensions, the number of maturity level, release date, content, the definition of measurement properties, assessment expenditures, and the assessment method are determined by the three decision makers according to the evaluation. As a result, the Impuls readiness maturity model is found to be the most suitable model in FTOPSIS and IFTOPSIS methods for a solar cell manufacturing company.

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