Performance evaluation of SMEs towards Industry 4.0 using fuzzy group decision making methods

Abstract

The concept of Industry 4.0 is becoming increasingly important. Many technologies are used with Industry 4.0 such as the Internet of Things, Cyber-Physical Systems, Big Data. These technologies have begun to be used by companies. In this article, the technologies used in smart factories are explained in detail. Literature searches were made for Industry 4.0, Fuzzy Analytic Hierarchical Process (Fuzzy AHP) and Fuzzy Technique for Order Preference by Similarity to Ideal Solution (Fuzzy TOPSIS). Then, the comparison was made on the application and utilization rates of the technologies determined among the enterprises using the Industry 4.0 technologies. In this study, Fuzzy AHP and Fuzzy TOPSIS methods, which are used frequently in the literature and which determine the criteria and importance weights, are used in complex conflicting situations. The criteria were weighted by the Fuzzy AHP method and then the alternatives were ranked with the Fuzzy TOPSIS approach. It is expected that this study will shed light on companies in the transition to Industry 4.0 and the selected pilot companies for this application will benefit from this work in the context of seeing and developing their own deficiencies.