Engineering management for high-end equipment intelligent manufacturing

被引:39
|
作者
Yang, Shanlin [1 ]
Wang, Jianmin [2 ]
Shi, Leyuan [3 ]
Tan, Yuejin [4 ]
Qiao, Fei [5 ]
机构
[1] Hefei Univ Technol, Sch Management, Hefei 230009, Anhui, Peoples R China
[2] Tsinghua Univ, Sch Software, Beijing 100084, Peoples R China
[3] Peking Univ, Dept Ind Engn & Management, Beijing 100871, Peoples R China
[4] Natl Univ Def Technol, Coll Syst Engn, Changsha 410073, Hunan, Peoples R China
[5] Tongji Univ, Sch Elect & Informat Engn, Shanghai 200092, Peoples R China
基金
中国国家自然科学基金;
关键词
high-end equipment; intelligent manufacturing; engineering management; information technology;
D O I
10.15302/J-FEM-2018050
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
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.
引用
收藏
页码:420 / 450
页数:31
相关论文
共 50 条
  • [1] Engineering management for high-end equipment intelligent manufacturing
    Shanlin YANG
    Jianmin WANG
    Leyuan SHI
    Yuejin TAN
    Fei QIAO
    Frontiers of Engineering Management, 2018, (04) : 420 - 450
  • [2] Engineering management for high-end equipment intelligent manufacturing
    Shanlin YANG
    Jianmin WANG
    Leyuan SHI
    Yuejin TAN
    Fei QIAO
    Frontiers of Engineering Management, 2018, 5 (04) : 420 - 450
  • [3] Cognitive Maintenance for High-End Equipment and Manufacturing
    Wang, Yi
    Wang, Kesheng
    Dai, Guohong
    ADVANCED MANUFACTURING AND AUTOMATION VIII, 2019, 484 : 394 - 400
  • [4] Advance of Food Intelligent Storage and Packaging Technology and High-end Equipment
    Guo, Zhiming
    Zhang, Pengmin
    Li, Zhaofeng
    Xu, Bin
    Shi, Jiyong
    Zou, Xiaobo
    Chen, Jian
    Journal of Chinese Institute of Food Science and Technology, 2025, 25 (01) : 12 - 25
  • [5] Research on Motivations of Knowledge Innovation of High-end Equipment Manufacturing Enterprises
    Liu Wei-wei
    Li Qian
    Wang Jia-yao
    Yang Jia-ning
    2016 23RD ANNUAL INTERNATIONAL CONFERENCE ON MANAGEMENT SCIENCE & ENGINEERING, VOLS. I AND II, 2016, : 349 - 355
  • [6] Research on Innovation Efficiency of Listed Companies in High-end Equipment Manufacturing
    Zhao, Wen
    Li, Yue-jiao
    INTERNATIONAL CONFERENCE ON EDUCATION INNOVATION AND ECONOMIC MANAGEMENT (EIEM 2017), 2017, : 232 - 236
  • [7] Research on key technologies of fault diagnosis and early warning for high-end equipment based on intelligent manufacturing and Internet of Things
    Wang, Miao
    Zhang, Zhenming
    Li, Kai
    Zhang, Zhicheng
    Sheng, Yong
    Liu, Shunuan
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2020, 107 (3-4): : 1039 - 1048
  • [8] Analyzing the impact of digital innovation ecosystem on the intelligent development in high-end equipment manufacturing industry: a dynamic QCA analysis
    Liu, Yujing
    Li, Meifang
    BUSINESS PROCESS MANAGEMENT JOURNAL, 2024,
  • [9] Research on key technologies of fault diagnosis and early warning for high-end equipment based on intelligent manufacturing and Internet of Things
    Miao Wang
    Zhenming Zhang
    Kai Li
    Zhicheng Zhang
    Yong Sheng
    Shunuan Liu
    The International Journal of Advanced Manufacturing Technology, 2020, 107 : 1039 - 1048
  • [10] A Study of High-End Equipment Manufacturing Industry Cluster Network and Innovation Capability
    Wang, Simeng
    Shao, Yunfei
    Pang, Bo
    PROCEEDINGS OF THE INTERNATIONAL ACADEMIC CONFERENCE ON FRONTIERS IN SOCIAL SCIENCES AND MANAGEMENT INNOVATION (IAFSM 2018), 2018, 62 : 311 - 320