Digital maturity levels in transition to industry 4.0 in businesses: A qualitative analysis and fuzzy mcdm applications in machinery manufacturing industries

Today, businesses aim to increase efficiency in engineering and operations, reduce operating costs, and improve product quality by prioritizing digitalization and the transition to industrial automation systems. It is now known that Industry 4.0 and digitalization studies are among the strategic plans of manufacturing enterprises. However, manufacturing enterprises need a model proposal for transitioning from existing production systems to digital production levels before starting Industry 4.0 and digitalization studies. This study has been tried to determine the main factors that will guide the companies that produce in the manufacturing industry to determine their level of digital maturity before moving to Industry 4.0. First, maturity models developed for digital transformation in the literature were examined. Afterward, qualitative analysis was made on the data obtained by conducting interviews with a company with a high production potential in the machinery manufacturing industry. Then, the analysis results obtained according to the qualitative analysis results were compared with the Fuzzy MCDM methods.