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Value stream mapping – a tool to detect and reduce waste for a lean manufacturing system

Waste is a non-value added activity that may exist everywhere in the production line. This waste is an activity that consumes resources but does not directly contribute to product or service and does not add value to the customer. This paper presents the classification of waste and the steps to impl...

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Main Authors: Noraini, Mohd Razali, Mohd Nizam A., Rahman
Format: Conference or Workshop Item
Language:English
Published: Springer, Singapore 2020
Subjects:
TS Manufactures
Online Access:http://umpir.ump.edu.my/id/eprint/27289/1/44.1%20Value%20stream%20mapping%20%E2%80%93%20a%20tool%20to%20detect%20and%20reduce.pdf
http://umpir.ump.edu.my/id/eprint/27289/
https://doi.org/10.1007/978-981-15-0950-6_41
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spelling my.ump.umpir.272892020-01-16T08:21:06Z http://umpir.ump.edu.my/id/eprint/27289/ Value stream mapping – a tool to detect and reduce waste for a lean manufacturing system Noraini, Mohd Razali Mohd Nizam A., Rahman TS Manufactures Waste is a non-value added activity that may exist everywhere in the production line. This waste is an activity that consumes resources but does not directly contribute to product or service and does not add value to the customer. This paper presents the classification of waste and the steps to implement value stream mapping (VSM) which is one of the powerful lean practice to detect and analyze waste activities in the manufacturing operation. Springer, Singapore 2020 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/27289/1/44.1%20Value%20stream%20mapping%20%E2%80%93%20a%20tool%20to%20detect%20and%20reduce.pdf Noraini, Mohd Razali and Mohd Nizam A., Rahman (2020) Value stream mapping – a tool to detect and reduce waste for a lean manufacturing system. In: iMEC-APCOMS 2019: Proceedings of the 4th International Manufacturing Engineering Conference and The 5th Asia Pacific Conference on Manufacturing Systems, 21-22 August 2019 , Putrajaya, Malaysia. pp. 266-271.. ISBN 978-981-15-0950-6 https://doi.org/10.1007/978-981-15-0950-6_41
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic TS Manufactures
spellingShingle TS Manufactures
Noraini, Mohd Razali
Mohd Nizam A., Rahman
Value stream mapping – a tool to detect and reduce waste for a lean manufacturing system
description Waste is a non-value added activity that may exist everywhere in the production line. This waste is an activity that consumes resources but does not directly contribute to product or service and does not add value to the customer. This paper presents the classification of waste and the steps to implement value stream mapping (VSM) which is one of the powerful lean practice to detect and analyze waste activities in the manufacturing operation.
format Conference or Workshop Item
author Noraini, Mohd Razali
Mohd Nizam A., Rahman
author_facet Noraini, Mohd Razali
Mohd Nizam A., Rahman
author_sort Noraini, Mohd Razali
title Value stream mapping – a tool to detect and reduce waste for a lean manufacturing system
title_short Value stream mapping – a tool to detect and reduce waste for a lean manufacturing system
title_full Value stream mapping – a tool to detect and reduce waste for a lean manufacturing system
title_fullStr Value stream mapping – a tool to detect and reduce waste for a lean manufacturing system
title_full_unstemmed Value stream mapping – a tool to detect and reduce waste for a lean manufacturing system
title_sort value stream mapping – a tool to detect and reduce waste for a lean manufacturing system
publisher Springer, Singapore
publishDate 2020
url http://umpir.ump.edu.my/id/eprint/27289/1/44.1%20Value%20stream%20mapping%20%E2%80%93%20a%20tool%20to%20detect%20and%20reduce.pdf
http://umpir.ump.edu.my/id/eprint/27289/
https://doi.org/10.1007/978-981-15-0950-6_41
_version_ 1657487822989295616
score 13.18916

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