Research on the evaluation method of the operation status of digital workshop in discrete manufacturing industry

被引:1
|
作者
Wang, Qiang [1 ]
Ma, Jing [1 ]
Jiang, Zengqiang [1 ]
Zhang, Jile [1 ]
机构
[1] Beijing Jiaotong Univ, Dept Ind Engn, Beijing 100084, Peoples R China
来源
关键词
Digital workshop; Operational status evaluation; Cloud model; Fuzzy comprehensive evaluation; SYSTEM;
D O I
10.1007/s11740-022-01148-5
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In the context of the new industrial revolution and industrial transformation, the workshop is the competitive core and profit source of discrete manufacturing enterprises, and the comprehensive and accurate control of its health status plays a vital role in promoting the realization of the enterprise's operating objectives. Recently, the enabling of digital technology provides the necessary basic condition for enterprises to know the running state of discrete workshops in real-time which also increases the complexity and management difficulty of workshop production systems. Thus, evaluating the operation status of the workshop comprehensively and accurately has become an urgent problem and a hot topic in engineering research. Therefore, based on the research background and problems mentioned above, this article aims at improving the comprehensiveness and accuracy of the digital workshop operation status evaluation. To achieve these goals, this article studies the construction and optimization of the operation status evaluation index system and the fuzzy comprehensive evaluation method based on the cloud model, and verifies the feasibility of the proposed method by an example. It is hoped that the research can provide a reference for discrete enterprises to master the operation state of the workshop completely and accurately.
引用
收藏
页码:247 / 261
页数:15
相关论文
共 50 条
  • [1] Research on the evaluation method of the operation status of digital workshop in discrete manufacturing industry
    Qiang Wang
    Jing Ma
    Zengqiang Jiang
    Jile Zhang
    Production Engineering, 2023, 17 : 247 - 261
  • [2] The rapid construction method of the digital twin polymorphic model for discrete manufacturing workshop
    Zhang, Dongjie
    Liu, Zhifeng
    Li, Fuping
    Zhao, Yongsheng
    Zhang, Caixia
    Li, Xin
    Zhang, Yueze
    ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING, 2023, 84
  • [3] A digital twin-based layout optimization method for discrete manufacturing workshop
    Hongfei Guo
    Yingxin Zhu
    Yu Zhang
    Yaping Ren
    Minshi Chen
    Rui Zhang
    The International Journal of Advanced Manufacturing Technology, 2021, 112 : 1307 - 1318
  • [4] A digital twin-based layout optimization method for discrete manufacturing workshop
    Guo, Hongfei
    Zhu, Yingxin
    Zhang, Yu
    Ren, Yaping
    Chen, Minshi
    Zhang, Rui
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2021, 112 (5-6): : 1307 - 1318
  • [5] Rapid construction method of equipment model for discrete manufacturing digital twin workshop system
    Zhang, Yueze
    Zhang, Caixia
    Yan, Jun
    Yang, Congbin
    Liu, Zhifeng
    ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING, 2022, 75
  • [6] Visual real-time monitoring method for discrete manufacturing workshop based on digital twin
    Wu P.
    Guo Y.
    Huang S.
    Yang N.
    Xiong W.
    Guo J.
    Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS, 2021, 27 (06): : 1605 - 1616
  • [7] Evaluation method for the impact of digital finance on the environmental performance of manufacturing industry
    Li, Hongjuan
    INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING, 2024,
  • [8] Digital twin driven production progress prediction for discrete manufacturing workshop
    Qian, Weiwei
    Guo, Yu
    Zhang, Hao
    Huang, Shaohua
    Zhang, Litong
    Zhou, Hailang
    Fang, Weiguang
    Zha, Shanshan
    ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING, 2023, 80
  • [9] Research on Smart Manufacturing and Digital Twin Technology in Manufacturing Industry
    GAO Cunbao
    International Journal of Plant Engineering and Management, 2025, 30 (01) : 28 - 38
  • [10] Research on Evaluation Indexes System of Reverse Logistics Operation Model in the Automobile Manufacturing Industry
    Zhang, Nian
    INNOVATION AND SUSTAINABILITY OF MODERN RAILWAY, 2012, : 934 - 943