Fuzzy cognitive mapping approach to the assessment of Industry 4.0 tendency

Document Type: Research Note


Department of Industrial Engineering, Faculty of Engineering, Sakarya University, Sakarya, Turkey


The correct understanding of the conceptual and practical counterpart of Industry 4.0 is of great importance because global competition has made technology-based production a necessity. However, Industry 4.0 studies have not sufficient explanatoriness in terms of their understanding. The aim of this study is to propose a model that will predict the companies' existing and predicted Industry 4.0 levels.The changes of the concepts are examined and interpreted for 3 different hypothetically prepared scenarios. In the first scenario, an organization that is poorly managed in terms of the development of Industry 4.0 is considered. The industry 4.0 tendency was obtained as 0.04 reaching steady state after 12 time periods using the FCM algorithm. Moderate and well-managed organizations are considered in Scenario 2 and 3 respectively. The industry 4.0 tendency reached 0.12 after 15 time periods for Scenario 2. The tendency is calculated as 0.95 at the end of 5 iterations in the third scenario, which has well-managed concept values in the current situation. In addition to the scenario analysis, strategy and organization, smart operation, and smart factory concepts are found to provide the most significant contribution over the industry 4.0 level as a result of static analysis section.