Muhamad Arifpin, Mansor and A. R., Ismail and Nurul Nadia, Nor Hamran and M. S., Sarifudin (2017) Knowledge Management To Boost Productivity In Manufacturing. In: 3rd International Conference On Business and Engineering Research (ICBER 2017) , 17-18 November 2017 , Osaka,Japan. pp. 1-5.. (Unpublished)
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Abstract
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 data are 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.
| Item Type: | Conference or Workshop Item (Speech) |
|---|---|
| Uncontrolled Keywords: | Knowledge Management; Performance Measurement; Productivity; Lean Manufacturing |
| Subjects: | T Technology > T Technology (General) |
| Faculty/Division: | Faculty of Engineering Technology |
| Depositing User: | Mrs. Neng Sury Sulaiman |
| Date Deposited: | 08 Feb 2018 01:49 |
| Last Modified: | 22 Feb 2022 01:25 |
| URI: | http://umpir.ump.edu.my/id/eprint/19312 |
| Download Statistic: | View Download Statistics |
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