LAPSE:2020.0805
Published Article
LAPSE:2020.0805
Implementation Criteria for Intelligent Systems in Motor Production Line Process Management
Yao-Chin Lin, Ching-Chuan Yeh, Wei-Hung Chen, Kai-Yen Hsu
July 7, 2020
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.
Keywords
intelligent systems, motor production lines, process management
Suggested Citation
Lin YC, Yeh CC, Chen WH, Hsu KY. Implementation Criteria for Intelligent Systems in Motor Production Line Process Management. (2020). LAPSE:2020.0805
Author Affiliations
Lin YC: Department of Information Management, Yuan Ze University, Taoyuan City 32003, Taiwan
Yeh CC: Department of Information Management, Yuan Ze University, Taoyuan City 32003, Taiwan
Chen WH: Department of Information Management, Yuan Ze University, Taoyuan City 32003, Taiwan
Hsu KY: Department of Information Management, Yuan Ze University, Taoyuan City 32003, Taiwan
Journal Name
Processes
Volume
8
Issue
5
Article Number
E537
Year
2020
Publication Date
2020-05-03
Published Version
ISSN
2227-9717
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Original Submission
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PII: pr8050537, Publication Type: Journal Article
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LAPSE:2020.0805
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doi:10.3390/pr8050537
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Jul 7, 2020
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CC BY 4.0
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[v1] (Original Submission)
Jul 7, 2020
 
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Jul 7, 2020
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Original Submitter
Calvin Tsay
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