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ID 114982
著者
Perumal, Puvanasvaran A. Universiti Teknikal Malaysia Melaka
伊藤, 照明 The University of Tokushima KAKEN研究者をさがす
Teoh, Yong Siang Universiti Teknikal Malaysia Melaka
Yoong, Sai Sieng Universiti Teknikal Malaysia Melaka
キーワード
Overall Equipment Efficiency (OEE)
Maynard’s Operation Sequence Technique (MOST)
Study of Work
Work Measurement
Hidden Waste
資料タイプ
学術雑誌論文
抄録
It is a common practice to quantify any process or entire production line in manufacturing industry especially to measure three main losses named time losses, performance losses and quality defect exist in production. Overall Equipment Effectiveness (OEE) fulfils the requirement by providing the measure of equipment via single measure which is monitored from time to time by responsible personnel so that corresponding optimization or Kaizen could be done. However, there are many lean wastes which could be 'invisible' or tolerated under the conventional definition of OEE. The hidden waste includes unnecessary production which was classified as operating time and the underestimated effect of excessive transportation or setup time. These could be minimized and sometimes avoidable via work measurement, method study and study of the work, which are under the study of Maynard's Operation Sequence Technique (MOST). This paper intends to examine and quantify the hidden lean waste in OEE from the perspective of method and work of an operation with the integration of MOST study. Operations are analyzed in every single step and broken down into details of activities, which are then re-designed for minimal non-value added activity in operation based on the standard allowable. The OEE data after the study of work is computed and compared with the OEE before the MOST study. The comparison shows the improvement in term of OEE after the MOST study and this implies that the hidden waste inside OEE definition could be tracked out for a better effectiveness. Any reduction in the non-value added activities or downtime ensure larger room for more value added activities or uptime and therefore the availability of production. It is expected to provide a new insight in implementing OEE at a different way and stay beware of the assumptions in OEE to avoid any hidden waste.
掲載誌名
American Journal of Applied Sciences
ISSN
15469239
15543641
cat書誌ID
AA12073324
出版者
Science Publications
13
11
開始ページ
1214
終了ページ
1220
発行日
2016-11-15
権利情報
© 2016 Puvanasvaran A. Perumal, Ito Teruaki, Teoh Yong Siang and Yoong Sai Sieng. This open access article is distributed under a Creative Commons Attribution (CC-BY) 3.0 license(https://creativecommons.org/licenses/by/3.0/).
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出版社版DOI
出版社版URL
フルテキストファイル
言語
eng
著者版フラグ
出版社版
部局
理工学系