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Frontiers of Engineering Management

Front. Eng    2018, Vol. 5 Issue (4) : 420-450
Engineering management for high-end equipment intelligent manufacturing
Shanlin YANG1(), Jianmin WANG2, Leyuan SHI3, Yuejin TAN4, Fei QIAO5
1. School of Management, Hefei University of Technology, Hefei 230009, China
2. School of Software, Tsinghua University, Beijing 100084, China
3. Department of Industrial Engineering & Management, Peking University, Beijing 100871, China
4. College of Systems Engineering, National University of Defense Technology, Changsha 410073, China
5. School of Electronics and Information Engineering, Tongji University, Shanghai 200092, China
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The high-end equipment intelligent manufacturing (HEIM) industry is of strategic importance to national and economic security. Engineering management (EM) for HEIM is a complex, innovative process that integrates natural science, technology, management science, social science, and the human spirit. New-generation information technology (IT), including the internet, cloud computing, big data, and artificial intelligence, have made a remarkable influence on HEIM and its engineering management activities, such as product system construction, product life cycle management, manufacturing resources organization, manufacturing model innovation, and reconstruction of the enterprise ecosystem. Engineering management for HEIM is a key topic at the frontier of international academic research. This study systematically reviews the current research on issues pertaining to engineering management for HEIM under the new-generation IT environment. These issues include cross-lifecycle management, network collaboration management, task integration management of innovative development, operation optimization of smart factories, quality and reliability management, information management, and intelligent decision making. The challenges presented by these issues and potential research opportunities are also summarized and discussed.

Keywords high-end equipment      intelligent manufacturing      engineering management      information technology     
Corresponding Author(s): Shanlin YANG   
Just Accepted Date: 30 August 2018   Online First Date: 09 November 2018    Issue Date: 29 November 2018
 Cite this article:   
Shanlin YANG,Jianmin WANG,Leyuan SHI, et al. Engineering management for high-end equipment intelligent manufacturing[J]. Front. Eng, 2018, 5(4): 420-450.
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Shanlin YANG
Jianmin WANG
Leyuan SHI
Yuejin TAN
Fig.1  Relationship among the key issues on engineering management for HEIM
Fig.2  Key research issues in cross-life cycle management of HEIM engineering
Fig.3  Key research issues in network cooperative management for HEIM
Fig.4  Key research issues in task integration management for the innovative development of HEIM
Fig.5  Key research issues in operation optimization of smart factories for HEIM
Fig.6  Key research issues in quality and reliability management research for HEIM
Fig.7  Key research issues in information management and intelligent decision-making for HEIM
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