Prioritizing of The Internet of Manufacturing Things (IoMT) Challenges in Automotive Industry by using Interpretive Structural Modeling (ISM)
محل انتشار: سومین کنفرانس بین المللی تفکر سیستمی در عمل
سال انتشار: 1402
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 164
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شناسه ملی سند علمی:
STINP03_016
تاریخ نمایه سازی: 12 دی 1402
چکیده مقاله:
Smart manufacturing can be referred as an important consequence of Fourth Industrial Revolution. With the advent of this revolution, manufacturing companies must use numerous new technologies to become smart. According to these new technologies, companies face multifaceted challenges. The Internet of Things (IoT) technology is one of the achievements of Industry ۴.۰, which plays an important role in the implementation of smart manufacturing. IoT using in smart manufacturing is called Internet of Manufacturing Things (IoMT Like other technologies, IoMT has its own challenges. Therefore, manufacturing organizations must be able to identify these challenges and concentrate on them based on their priority. In this study, by reviewing the literature, the challenges of using the Internet of Things in smart manufacturing were identified. Then 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 to be able to prioritize their strategies and actions accordingly.
کلیدواژه ها:
Smart manufacturing ، Internet of things ، Internet of Manufacturing Things (IoMT) ، Challenges ، Interpretive Structural Modeling (ISM)
نویسندگان
Abdolhamid Safaei Ghadikolaei
Profossor, University of Mazandaran
Hamidreza Fallah Lajimi
Assistant Profosssor, University of Mazandaran