Prioritizing of the Internet of Manufacturing Things (IoMT) Challenges in Automotive Industry by Using Interpretive Structural Modeling (ISM)

Document Type : Research Article

Authors

• Sahar Valipour Parkouhi
• Abdolhamid Safaei Ghadikolaei
• Hamidreza Fallah Lajimi

Department of Industrial Management, Faculty of Economics and Administrative Sciences, University of Mazandaran, Mazandaran. Iran.

10.22067/jstinp.2023.85639.1080

Abstract

Smart manufacturing can be referred to as an important consequence of the Fourth Industrial Revolution. With the advent of this revolution, manufacturing companies must use numerous new technologies to become smart. Companies face multifaceted challenges because of these new technologies. The Internet of Things (IoT) technology is one of the achievements of Industry 4.0, which plays an important role in implementing smart manufacturing. IoT used in smart manufacturing is called the Internet of Manufacturing Things (IoMT Like other technologies, IoMT has its challenges. Therefore, manufacturing organizations must be able to identify these challenges and concentrate on them based on their priority. This study identified the challenges of using the Internet of Things in smart manufacturing were identified by reviewing the literature. The Interpretive Structural Modeling (ISM) technique was used to prioritize challenges in the automotive industry. Based on the research findings, the challenges were classified into three levels. This leveling provides a suitable model for automotive industry managers prioritize their strategies and actions accordingly.

Keywords

• Smart manufacturing
• Internet of things
• Internet of Manufacturing Things
• Challenges
• Interpretive Structural Modeling

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