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  1. 1100 学部・機構・専門職大学院
  2. 理工系学部
  3. Science and technology reports of Kansai University = 関西大学理工学研究報告
  4. No.63

Assigning Unskilled Workers on the Production Line According to the Fuzzy C-Means Clustering Method

https://doi.org/10.32286/00022962
https://doi.org/10.32286/00022962
06d8f08c-35ac-483d-a235-0e03bdcfecc1
名前 / ファイル ライセンス アクション
KU-1100-20210320-05.pdf KU-1100-20210320-05.pdf (486.9 kB)
Item type 紀要論文 / Departmental Bulletin Paper(1)
公開日 2021-03-30
タイトル
タイトル Assigning Unskilled Workers on the Production Line According to the Fuzzy C-Means Clustering Method
言語
言語 eng
資源タイプ
資源タイプ識別子 http://purl.org/coar/resource_type/c_6501
資源タイプ departmental bulletin paper
ID登録
ID登録 10.32286/00022962
ID登録タイプ JaLC
著者 Yeh, Jun-Hsien

× Yeh, Jun-Hsien

WEKO 44754

Yeh, Jun-Hsien

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概要
内容記述タイプ Other
内容記述 Based on the recent trend toward higher consumer demand for customized products, the possibility of mass customization has become a topic of great importance for companies. In order to deal with seasonal fluctuations in demand, most companies require flexible scheduling of the manpower involved in product assembly; one means of achieving this flexibility is by hiring dispatch laborers. Ensuring the productivity of new employees and their departments under conditions of continuous employee turnover on the production line has become an essential element of the modern manufacturing business. This research uses the fuzzy c-means clustering method to develop a new model for evaluating employees' ability to perform on the production line and identifying which operational capabilities are suitable for each employee. This study used a personal computer assembly process as an empirical analysis case. The results show that this evaluation model enables users to accurately determine what new employees are good at, which will inform them where each employee should be assigned so that the products can be assembled most efficiently. Our evaluation model can not only provide companies with a reference and judgment basis for more efficient staffing, but also help them reduce lead time when changing production lines or production line configurations and increase their production efficiency and profit.
書誌情報 Science and technology reports of Kansai University = 関西大学理工学研究報告

巻 63, p. 53-66, 発行日 2021-03-20
ISSN
収録物識別子タイプ ISSN
収録物識別子 04532198
書誌レコードID
収録物識別子タイプ NCID
収録物識別子 AA12314657
著者版フラグ
出版タイプ VoR
出版タイプResource http://purl.org/coar/version/c_970fb48d4fbd8a85
出版者
出版者 Kansai University
出版者(他言語)
値 関西大学
キーワード
主題Scheme Other
主題 mass customization
キーワード
主題Scheme Other
主題 fuzzy c-means
キーワード
主題Scheme Other
主題 production efficiency
キーワード
主題Scheme Other
主題 関西大学
キーワード
主題Scheme Other
主題 Kansai University
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