Author
Behrad Bagheri
Other affiliations: Applied Science Private University, University of Tehran
Bio: Behrad Bagheri is an academic researcher from University of Cincinnati. The author has contributed to research in topics: Cyber-physical system & Analytics. The author has an hindex of 11, co-authored 16 publications receiving 4235 citations. Previous affiliations of Behrad Bagheri include Applied Science Private University & University of Tehran.
Topics: Cyber-physical system, Analytics, Big data, Prognostics, Industry 4.0
Papers
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TL;DR: A unified 5-level architecture is proposed as a guideline for implementation of Cyber-Physical Systems (CPS), within which information from all related perspectives is closely monitored and synchronized between the physical factory floor and the cyber computational space.
Abstract: Recent advances in manufacturing industry has paved way for a systematical deployment of Cyber-Physical Systems (CPS), within which information from all related perspectives is closely monitored and synchronized between the physical factory floor and the cyber computational space. Moreover, by utilizing advanced information analytics, networked machines will be able to perform more efficiently, collaboratively and resiliently. Such trend is transforming manufacturing industry to the next generation, namely Industry 4.0. At this early development phase, there is an urgent need for a clear definition of CPS. In this paper, a unified 5-level architecture is proposed as a guideline for implementation of CPS.
3,370 citations
TL;DR: The globalization of the world’s economies is a major challenge to local industry and it is pushing the manufacturing sector to its next transformation -predictive manufacturing as discussed by the authors, and manufacturers need to embrace emerging technologies such as advanced analytics and cyber-physical system-based approaches, to improve their efficiency and productivity.
Abstract: The globalization of the world’s economies is a major challenge to local industry and it is pushing the manufacturing sector to its next transformation – predictive manufacturing. In order to become more competitive, manufacturers need to embrace emerging technologies, such as advanced analytics and cyber-physical system-based approaches, to improve their efficiency and productivity. With an aggressive push towards “Internet of Things”, data has become more accessible and ubiquitous, contributing to the big data environment. This phenomenon necessitates the right approach and tools to convert data into useful, actionable information.
848 citations
TL;DR: In this article, a case study for designing smart machines through the 5C CPS architecture is presented, which includes necessary steps to fully integrate cyber-physical systems in the manufacturing industry.
317 citations
TL;DR: A unified framework for integrating CPS in manufacturing is presented, an adaptive clustering method as an advanced analytical method for interconnected systems is described and at the end of the paper a case study of self-aware machines by CPS integration is presented.
240 citations
TL;DR: This paper introduces a fundamental framework and architecture for cyber manufacturing systems that intertwines industrial big data and smart analytics to discover and comprehend invisible issues for decision making.
Abstract: Cyber manufacturing is transformative concept that involves the translation of data from interconnected systems into predictive and prescriptive operations to achieve resilient performance. It intertwines industrial big data and smart analytics to discover and comprehend invisible issues for decision making. With the advent of Internet-of-Things (IoT) and smart, predictive analytics technologies, companies have been building a networked data-rich environment, which calls for a systematic methodology to transform raw data into meaningful and actionable operations. This paper introduces a fundamental framework and architecture for cyber manufacturing systems.
146 citations
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TL;DR: A review of the emerging research on additive manufacturing of metallic materials is provided in this article, which provides a comprehensive overview of the physical processes and the underlying science of metallurgical structure and properties of the deposited parts.
4,192 citations
TL;DR: A unified 5-level architecture is proposed as a guideline for implementation of Cyber-Physical Systems (CPS), within which information from all related perspectives is closely monitored and synchronized between the physical factory floor and the cyber computational space.
Abstract: Recent advances in manufacturing industry has paved way for a systematical deployment of Cyber-Physical Systems (CPS), within which information from all related perspectives is closely monitored and synchronized between the physical factory floor and the cyber computational space. Moreover, by utilizing advanced information analytics, networked machines will be able to perform more efficiently, collaboratively and resiliently. Such trend is transforming manufacturing industry to the next generation, namely Industry 4.0. At this early development phase, there is an urgent need for a clear definition of CPS. In this paper, a unified 5-level architecture is proposed as a guideline for implementation of CPS.
3,370 citations
TL;DR: A comprehensive review on Industry 4.0 is conducted and presents an overview of the content, scope, and findings by examining the existing literatures in all of the databases within the Web of Science.
1,906 citations
TL;DR: The state of the art in the area of Industry 4.0 as it relates to industries is surveyed, with a focus on China's Made-in-China 2025 and formal methods and systems methods crucial for realising Industry 5.0.
Abstract: Rapid advances in industrialisation and informatisation methods have spurred tremendous progress in developing the next generation of manufacturing technology. Today, we are on the cusp of the Fourth Industrial Revolution. In 2013, amongst one of 10 ‘Future Projects’ identified by the German government as part of its High-Tech Strategy 2020 Action Plan, the Industry 4.0 project is considered to be a major endeavour for Germany to establish itself as a leader of integrated industry. In 2014, China’s State Council unveiled their ten-year national plan, Made-in-China 2025, which was designed to transform China from the world’s workshop into a world manufacturing power. Made-in-China 2025 is an initiative to comprehensively upgrade China’s industry including the manufacturing sector. In Industry 4.0 and Made-in-China 2025, many applications require a combination of recently emerging new technologies, which is giving rise to the emergence of Industry 4.0. Such technologies originate from different disciplines ...
1,780 citations
TL;DR: This paper provides a comprehensive review of associated topics such as intelligent manufacturing, Internet of Things (IoT)-enabled manufacturing, and cloud manufacturing and describes worldwide movements in intelligent manufacturing.
1,602 citations