Prescriptive Maintenance based on Digital-Twin inIndustry ۴.۰

Publish Year: 1401
نوع سند: مقاله کنفرانسی
زبان: English
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ICPCONF08_091

تاریخ نمایه سازی: 9 مهر 1401

Abstract:

In recent years, along with the progress in new-generation information technologies (New IT), such as cloud computing, the Internet of Things (IoT), big data, and artificial intelligence (AI), the virtual space and its interactions by physical spaces play an important role than ever before. Smart manufacturing has evolved into some governmental development strategies, for instance, China’s “Made in China ۲۰۲۵”, Germany’s ”Industry ۴.۰” and “National Industrial Strategy ۲۰۳۰”, EU’s “Europe ۲۰۲۰ Strategy” and US’s “advanced manufacturing partnership (AMP)” [۱-۳]. The top two known methodologies for reaching Smart systems are respectively Cyber-Physical System (CPS) and Digital-Twin (DT).Prescriptive maintenance (PM) first of all means planning and scheduling a starting optimal maintenance which is based on the operational targets [۵]. Until ۲۰۲۲, it is observed that there is lots of work in the fundamental area of smart manufacturing such as DT, CPS, predictive maintenance, prescriptive maintenance, etc. individually, however, in the vision of more prospective point of view in researching and making effort to broaden the horizon of science and technological aspect of smart manufacturing, there should be precisely research in merging such methods to improve and maybe to implement more conveniently in industries, so this research proposal is focused on merging two of the most important methods in smart manufacturing, namely Digital-Twin and prescriptive maintenance, and for sure the result of the research will be applied in a wide variety of industries such as production and services companies.

Authors

Lilian Berton

Sao Paulo ، Ph.D applicant Universidade Federal de São Paulo

Saeid Zahmatkesh

de São PauloProfessor ، Federal de Sao Paulo