Knowledge management to boost productivity in manufacturing

Data are the crucial element for productivity improvement and the evaluation or measurement process in the manufacturing sector because the data can tell the real situation about the production site. The dataare useful for productivity improvement by using certain lean manufacturing’s tools such as...

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Main Authors: Mansor, M. A., Ismail, A. R., Hamran, N. N. N., Sarifudin, M. S.
Format: Article
Language:English
Published: University of El Qued (Algeria) 2018
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/33428/1/Knowledge%20management%20to%20boost%20productivity%20in%20manufacturing.pdf
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author Mansor, M. A.
Ismail, A. R.
Hamran, N. N. N.
Sarifudin, M. S.
author_facet Mansor, M. A.
Ismail, A. R.
Hamran, N. N. N.
Sarifudin, M. S.
author_sort Mansor, M. A.
collection UMP
description Data are the crucial element for productivity improvement and the evaluation or measurement process in the manufacturing sector because the data can tell the real situation about the production site. The dataare useful for productivity improvement by using certain lean manufacturing’s tools such as Value Stream Mapping (VSM), Single Minutes of Exchange Die (SMED), Total Productive Maintenance (TPM), and others. The data are also necessary for performance measurement. In this paper, we discuss the necessary data that should be included in a knowledge repository for manufacturing where the data then will be used by an assessment tool. The assessment tool is an important factor because knowledge management has a deep relationship with performance evaluation and measurement. Data Management to boost productivity in manufacturing can be divided into five phase and consists of in fourteen steps.
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spelling UMPir334282022-02-22T01:34:09Z http://umpir.ump.edu.my/id/eprint/33428/ Knowledge management to boost productivity in manufacturing Mansor, M. A. Ismail, A. R. Hamran, N. N. N. Sarifudin, M. S. TS Manufactures Data are the crucial element for productivity improvement and the evaluation or measurement process in the manufacturing sector because the data can tell the real situation about the production site. The dataare useful for productivity improvement by using certain lean manufacturing’s tools such as Value Stream Mapping (VSM), Single Minutes of Exchange Die (SMED), Total Productive Maintenance (TPM), and others. The data are also necessary for performance measurement. In this paper, we discuss the necessary data that should be included in a knowledge repository for manufacturing where the data then will be used by an assessment tool. The assessment tool is an important factor because knowledge management has a deep relationship with performance evaluation and measurement. Data Management to boost productivity in manufacturing can be divided into five phase and consists of in fourteen steps. University of El Qued (Algeria) 2018-05 Article PeerReviewed pdf en cc_by_nc_4 http://umpir.ump.edu.my/id/eprint/33428/1/Knowledge%20management%20to%20boost%20productivity%20in%20manufacturing.pdf Mansor, M. A. and Ismail, A. R. and Hamran, N. N. N. and Sarifudin, M. S. (2018) Knowledge management to boost productivity in manufacturing. Journal of Fundamental and Applied Sciences, 10 (3S). pp. 19-31. ISSN 1112-9867. (Published) https://www.ajol.info/index.php/jfas/article/view/171473
spellingShingle TS Manufactures
Mansor, M. A.
Ismail, A. R.
Hamran, N. N. N.
Sarifudin, M. S.
Knowledge management to boost productivity in manufacturing
title Knowledge management to boost productivity in manufacturing
title_full Knowledge management to boost productivity in manufacturing
title_fullStr Knowledge management to boost productivity in manufacturing
title_full_unstemmed Knowledge management to boost productivity in manufacturing
title_short Knowledge management to boost productivity in manufacturing
title_sort knowledge management to boost productivity in manufacturing
topic TS Manufactures
url http://umpir.ump.edu.my/id/eprint/33428/1/Knowledge%20management%20to%20boost%20productivity%20in%20manufacturing.pdf
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