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Determination of process variability by using triangular fuzzy number to minimize production lead time in a dynamic Value Stream Mapping

This paper shows the incorporation of Value Stream Mapping (VSM) with triangular fuzzy numbers to determine variability and uncertainty in a conveyor manufacturing company. VSM is a pen and paper tool which is used to indicate wastes and bottleneck processes graphically and develop an action plan to...

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Main Authors: Thulasi, M., Faieza, A. A., Azfanizam, A. S., Leman, Z.
Format: Article
Published: UTM Press 2023
Online Access:http://psasir.upm.edu.my/id/eprint/100936/
https://journals.utm.my/aej/article/view/18574
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spelling my.upm.eprints.1009362023-07-13T08:42:40Z http://psasir.upm.edu.my/id/eprint/100936/ Determination of process variability by using triangular fuzzy number to minimize production lead time in a dynamic Value Stream Mapping Thulasi, M. Faieza, A. A. Azfanizam, A. S. Leman, Z. This paper shows the incorporation of Value Stream Mapping (VSM) with triangular fuzzy numbers to determine variability and uncertainty in a conveyor manufacturing company. VSM is a pen and paper tool which is used to indicate wastes and bottleneck processes graphically and develop an action plan to enhance the production line. However, some weaknesses are identified in the conventional VSM where it fails to consider variability in a dynamic manufacturing environment. As such, this paper fills up the research gap by using Triangular Fuzzy Number (TFN) to illustrate time intervals, inventories and other variables of VSM operation. The purpose of this paper is to minimize total production lead time (TPLT) and total value-added time (TVAT) in the current value stream of the conveyor chain. More accurate details of variability in the dynamic manufacturing environment can be illustrated by a Triangular Fuzzy Number (TFN) of VSM. As a result, the future value stream map shows 50% and 22% reduction in TPLT and TVAT respectively compared to the current value stream. In conclusion, this paper also recommends that in order to optimize the accuracy of VSM analysis further, a discrete event simulation can be used to examine the fuzzy VSM. UTM Press 2023-03 Article PeerReviewed Thulasi, M. and Faieza, A. A. and Azfanizam, A. S. and Leman, Z. (2023) Determination of process variability by using triangular fuzzy number to minimize production lead time in a dynamic Value Stream Mapping. ASEAN Engineering Journal, 13 (1). pp. 163-168. ISSN 2586-9159 https://journals.utm.my/aej/article/view/18574 10.11113/aej.v13.18574
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
description This paper shows the incorporation of Value Stream Mapping (VSM) with triangular fuzzy numbers to determine variability and uncertainty in a conveyor manufacturing company. VSM is a pen and paper tool which is used to indicate wastes and bottleneck processes graphically and develop an action plan to enhance the production line. However, some weaknesses are identified in the conventional VSM where it fails to consider variability in a dynamic manufacturing environment. As such, this paper fills up the research gap by using Triangular Fuzzy Number (TFN) to illustrate time intervals, inventories and other variables of VSM operation. The purpose of this paper is to minimize total production lead time (TPLT) and total value-added time (TVAT) in the current value stream of the conveyor chain. More accurate details of variability in the dynamic manufacturing environment can be illustrated by a Triangular Fuzzy Number (TFN) of VSM. As a result, the future value stream map shows 50% and 22% reduction in TPLT and TVAT respectively compared to the current value stream. In conclusion, this paper also recommends that in order to optimize the accuracy of VSM analysis further, a discrete event simulation can be used to examine the fuzzy VSM.
format Article
author Thulasi, M.
Faieza, A. A.
Azfanizam, A. S.
Leman, Z.
spellingShingle Thulasi, M.
Faieza, A. A.
Azfanizam, A. S.
Leman, Z.
Determination of process variability by using triangular fuzzy number to minimize production lead time in a dynamic Value Stream Mapping
author_facet Thulasi, M.
Faieza, A. A.
Azfanizam, A. S.
Leman, Z.
author_sort Thulasi, M.
title Determination of process variability by using triangular fuzzy number to minimize production lead time in a dynamic Value Stream Mapping
title_short Determination of process variability by using triangular fuzzy number to minimize production lead time in a dynamic Value Stream Mapping
title_full Determination of process variability by using triangular fuzzy number to minimize production lead time in a dynamic Value Stream Mapping
title_fullStr Determination of process variability by using triangular fuzzy number to minimize production lead time in a dynamic Value Stream Mapping
title_full_unstemmed Determination of process variability by using triangular fuzzy number to minimize production lead time in a dynamic Value Stream Mapping
title_sort determination of process variability by using triangular fuzzy number to minimize production lead time in a dynamic value stream mapping
publisher UTM Press
publishDate 2023
url http://psasir.upm.edu.my/id/eprint/100936/
https://journals.utm.my/aej/article/view/18574
_version_ 1772813411231465472
score 13.211869

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