Prioritizing Enablers in Terms of Industry 4.0 Technologies for Lean Manufacturing Implementation through Fuzzy-AHP

This research uses a fuzzy-AHP technique and extent analysis to guide prioritizing and ranking enablers (Industry 4.0 technologies) and removing obstacles to make it easier to adopt Lean Manufacturing (LM). This study identifies LM enablers and barriers to promote LM implementation through a review of the literature and the participation of topic specialists. The primary outcomes of this techno-managerial study are identifying and prioritizing six enablers and 9 LM barriers using the fuzzy-AHP framework to help overcome the implementation challenges LM faces, which helps in providing direction on where to concentrate to help facilitate LM implementation. Finally, sensitivity analysis is used to ensure the robustness of the results. The results of this study provide opportunities for management to implement lean manufacturing successfully.