An Industry 4.0 Technology Selection Framework for Manufacturing Systems and Firms Using Fuzzy AHP and Fuzzy TOPSIS Methods

Characterized by its resilience, connectivity, and real-time data processing capabilities, the fourth industrial revolution, referred to as Industry 4.0, is main driver of today’s digital transformation. It crucially important for manufacturing facilities correctly identify most suitable 4.0 technologies that meet their operational schemes production targets. Different technology selection frameworks were proposed tackle this problem, several which are complex, or require historic from might not always be available. The aim paper develop a novel framework utilizes Fuzzy Analytical Hierarchy Process (FAHP) Technique Order Preference Similarity Ideal Solution (FTOPSIS) rank different based on economic, social, environmental impact. also implemented real-life case study firm required transformation significance facility’s key performance indicators. utilized select top three pool eight deemed firm. Results showed Cyber-Physical Systems, Big Data analytics, autonomous/industrial robots ranked technologies, having closeness coefficient scores 0.964, 0.928, 0.601, respectively. Moreover, sensitivity towards weight changes. This an advantage in developed framework, since provide policymakers with customized list importance