Implementation Criteria for Intelligent Systems in Motor Production Line Process Management

被引:6
|
作者
Lin, Yao-Chin [1 ]
Yeh, Ching-Chuan [1 ]
Chen, Wei-Hung [1 ]
Hsu, Kai-Yen [1 ]
机构
[1] Yuan Ze Univ, Dept Informat Management, Taoyuan 32003, Taiwan
关键词
intelligent systems; motor production lines; process management;
D O I
10.3390/pr8050537
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
In this study, the factors that affect the implementation of intelligent systems in motor production lines are analyzed. A motor production line located in Vietnam is used as the research object. The research methods include secondary data collection, field study, and interviews. This study demonstrates the following: firstly, the implementation of intelligent systems in motor production lines is heading toward Industry 4.0. Secondly, it is proposed that three functional systems-robot arm, image recognition, and big data analysis-can be introduced in the motor production line. This study analyzes the process involved in coil and motor production lines and attempts to combine intelligent system functions. It is expected that in the future, manpower will be reduced, production line productivity will increase, and intelligent production lines will be proposed. The factors that affect the introduction of intelligent systems in motor production lines are improved, and the importance of intelligent systems, which has been rarely considered in previous studies, is highlighted. In the implementation criteria of the intelligent system in the process management of the motor production line, this study provides some suggestions (to coil and motor assembly line) for the production process management. These suggestions can be provided as a reference for production lines that acquaint with intelligent systems.
引用
收藏
页数:22
相关论文
共 50 条
  • [31] INTELLIGENT MOTOR CONTROL Innovations in process optimization
    Mazur, David C.
    Kay, John A.
    Mazur, Kenneth D.
    IEEE INDUSTRY APPLICATIONS MAGAZINE, 2015, 21 (02) : 30 - 37
  • [32] Intelligent systems and process engineering
    Aldrich, C
    SOUTH AFRICAN JOURNAL OF SCIENCE, 1996, 92 (07) : 300 - 301
  • [33] OPTIMIZATION CRITERIA FOR PRODUCTION MANAGEMENT
    BERNARD, G
    KYKLOS, 1966, 19 (03) : 443 - 460
  • [34] Intelligent planning of production systems
    Ebert, Ralf-Erik
    Schachmanow, Jurij
    Wrobel, Gregor
    ZWF Zeitschrift fuer Wirtschaftlichen Fabrikbetrieb, 2015, 110 (03): : 103 - 106
  • [35] Motor systems management
    Kueck, JD
    CRITICAL LINK: DIAGNOSIS TO PROGNOSIS, 1997, : 683 - 692
  • [36] IEEE intelligent systems coming on line
    Firschein, O
    Laddaga, R
    IEEE EXPERT-INTELLIGENT SYSTEMS & THEIR APPLICATIONS, 1997, 12 (04): : 2 - 3
  • [37] Information Systems for Competitive Advantage: Implementation of an Organisational Strategic Management Process
    Altamony, Hamzah
    Masa'deh, Ra'ed
    Alshurideh, Muhammad
    Obeidat, Bader Yousef
    INNOVATION AND SUSTAINABLE COMPETITIVE ADVANTAGE: FROM REGIONAL DEVELOPMENT TO WORLD ECONOMIES, VOLS 1-5, 2012, : 583 - +
  • [38] Practical implementation of "risk assessment" through Process Safety Management Systems
    Pagnini, Marco
    Milanese, Stefano
    Verna, Alfredo
    Perry, James
    CISAP4: 4TH INTERNATIONAL CONFERENCE ON SAFETY & ENVIRONMENT IN PROCESS INDUSTRY, 2010, 19 : 285 - 290
  • [39] Supporting ITIL Processes Implementation Using Business Process Management Systems
    Mahy, Youssef
    Ouzzif, Mohamed
    Bouragba, Khalid
    PROCEEDINGS OF 2016 THIRD INTERNATIONAL CONFERENCE ON SYSTEMS OF COLLABORATION (SYSCO), 2016, : P77 - P80
  • [40] Business process integration as a solution to the implementation of supply chain management systems
    Kobayashi, T
    Tamaki, M
    Komoda, N
    INFORMATION & MANAGEMENT, 2003, 40 (08) : 769 - 780