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Continuous Improvement Through Lean Using VSM For Application In Machining Based Product Company

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...

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Main Authors: Mohd Amin, Ahmad Nawawi, Kamat, Seri Rahayu, Kamalrudin, Massila, Wan Mahmood, Wan Hasrulnizzam
Format: Article
Language:English
Published: Blue Eyes Intelligence Engineering & Sciences Publication (BEIESP) 2019
Online Access:http://eprints.utem.edu.my/id/eprint/24552/2/B11270982S1119.PDF
http://eprints.utem.edu.my/id/eprint/24552/
https://www.ijrte.org/wp-content/uploads/papers/v8i2S11/B11270982S1119.pdf
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spelling my.utem.eprints.245522020-12-09T09:20:18Z http://eprints.utem.edu.my/id/eprint/24552/ Continuous Improvement Through Lean Using VSM For Application In Machining Based Product Company Mohd Amin, Ahmad Nawawi Kamat, Seri Rahayu Kamalrudin, Massila Wan Mahmood, Wan Hasrulnizzam 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. Blue Eyes Intelligence Engineering & Sciences Publication (BEIESP) 2019-09 Article PeerReviewed text en http://eprints.utem.edu.my/id/eprint/24552/2/B11270982S1119.PDF 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 https://www.ijrte.org/wp-content/uploads/papers/v8i2S11/B11270982S1119.pdf 10.35940/ijrte.B1127.0982S1119
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
description 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.
format Article
author Mohd Amin, Ahmad Nawawi
Kamat, Seri Rahayu
Kamalrudin, Massila
Wan Mahmood, Wan Hasrulnizzam
spellingShingle Mohd Amin, Ahmad Nawawi
Kamat, Seri Rahayu
Kamalrudin, Massila
Wan Mahmood, Wan Hasrulnizzam
Continuous Improvement Through Lean Using VSM For Application In Machining Based Product Company
author_facet Mohd Amin, Ahmad Nawawi
Kamat, Seri Rahayu
Kamalrudin, Massila
Wan Mahmood, Wan Hasrulnizzam
author_sort Mohd Amin, Ahmad Nawawi
title Continuous Improvement Through Lean Using VSM For Application In Machining Based Product Company
title_short Continuous Improvement Through Lean Using VSM For Application In Machining Based Product Company
title_full Continuous Improvement Through Lean Using VSM For Application In Machining Based Product Company
title_fullStr Continuous Improvement Through Lean Using VSM For Application In Machining Based Product Company
title_full_unstemmed Continuous Improvement Through Lean Using VSM For Application In Machining Based Product Company
title_sort continuous improvement through lean using vsm for application in machining based product company
publisher Blue Eyes Intelligence Engineering & Sciences Publication (BEIESP)
publishDate 2019
url http://eprints.utem.edu.my/id/eprint/24552/2/B11270982S1119.PDF
http://eprints.utem.edu.my/id/eprint/24552/
https://www.ijrte.org/wp-content/uploads/papers/v8i2S11/B11270982S1119.pdf
_version_ 1687397245989683200
score 13.211869

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