Mohd Amin, Ahmad Nawawi and Kamat, Seri Rahayu and Kamalrudin, Massila and Wan Mahmood, Wan Hasrulnizzam (2019) Continuous Improvement Through Lean Using VSM For Application In Machining Based Product Company. International Journal Of Recent Technology And Engineering (IJRTE), 8 (2S11). pp. 778-784. ISSN 2277-3878
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Abstract
This paper is a consequence of a job in a business devoted to mechanical manufacturing (machining base product). During the entire manufacturing cycle, several wastes could be detected using a lean manufacturing approach by Value Stream Mapping (VSM). This paper proposes the techniques that are used to show the improvements to be achieved with each of the lean tools suggested. This work is primarily intended to be a guide for organisations that want to begin to implement lean production.The development of how lean management techniques are used continues dependent on the development of intelligent value today. Smart, creative techniques, critical information, talent, and big data need to be sustainable in other respects. I4.0 assumes a critical foundation of this latest vision for the organisation's future. As the results, the lean manufacturing approach by the VSM pointed out eight waste from the current production system, known as Kaizen burst that influence to company’ profit which is high access inventory volume in between process, high rework and reject volume, delayed supplier and deliver product on time to customer, wrong forecast data, changeover time require long time, low machine performance/ inefficiency machine, travelled time in between process and lack on 5S activities. However, only three main findings based on the production system discussed in this paper.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Lean Manufacturing, Value Stream Map |
| Divisions: | Faculty of Manufacturing Engineering |
| Depositing User: | Norfaradilla Idayu Ab. Ghafar |
| Date Deposited: | 09 Dec 2020 09:20 |
| Last Modified: | 09 Dec 2020 09:20 |
| URI: | http://eprints.utem.edu.my/id/eprint/24552 |
| Statistic Details: | View Download Statistic |
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