Sectoral Prioritization of Industry 4.0 under Lean Supply Chain with an Integrated Fuzzy Decision-Making Approach: The Case of Turkey

Industry 4.0 is one of the most remarkable topics as it is expected to affect and benefit most sectors. However, the urgency for industry 4.0 transformation will probably be different for each sector since the effort put into making this transformation and its benefit will differ from sector to sector. The objective of this paper is to prioritize sectors for industry 4.0 transformation in the context of the lean supply chain by using an approach consisting of Pythagorean fuzzy AHP and Pythagorean fuzzy TOPSIS that are used to manage uncertainties of decision making more effectively. In this study, as Pythagorean fuzzy AHP is utilized to obtain the weights of criteria affecting industry 4.0 transformation such as system reliability, human resource management, and economic aspect, Pythagorean fuzzy TOPSIS is employed to assess the alternative sectors with respect to these criteria. It has been revealed that the sector with the high priority in industry 4.0 transformation is determined as Finance Sector, followed by Education, Production and Energy sectors, respectively. Additionally, a sensitivity analysis has been managed to perform the effects of decision makers' weights of process.