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Discrete event simulation as a decision making tool for improving overall line efficiency

This paper is about formulating a new decision-making framework that integrates discrete event simulation (DES) software to select the best alternative to improve a manufacturing system. Literature pertaining to decision-making tools, performance metrics and frameworks on decision-making as well as...

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Main Author: Yong, Wen Yao
Format: Final Year Project / Dissertation / Thesis
Published: 2022
Subjects:
T Technology (General)
TA Engineering (General). Civil engineering (General)
Online Access:http://eprints.utar.edu.my/4834/1/fyp_IE_YWY_2022.pdf
http://eprints.utar.edu.my/4834/
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spelling my-utar-eprints.48342022-12-30T07:50:21Z Discrete event simulation as a decision making tool for improving overall line efficiency Yong, Wen Yao T Technology (General) TA Engineering (General). Civil engineering (General) This paper is about formulating a new decision-making framework that integrates discrete event simulation (DES) software to select the best alternative to improve a manufacturing system. Literature pertaining to decision-making tools, performance metrics and frameworks on decision-making as well as process improvement was reviewed. The advantages and limitations of techniques, strategies as well as frameworks adopted by recent researchers were ascertained. The review discovered that there is lack of comprehensive framework on deploying simulation tool as decision-making supporting instrument in process improvement. Vital features of decision-making and process improvement were explored through literature, and a new framework was designated by incorporating the vital features with rectified gaps found in recent works. To validate the feasibility of the proposed framework, it was then applied in a case study conducted at a box manufacturing factory in Sarawak, Malaysia, to improve the factory’s overall line efficiency (OLE). The framework provided guidelines in goal, objectives and decision criteria setting, constructing simulation models that was precise in reflecting the real system, identifying root causes, generating relevant solutions, experimenting solutions and selecting the best performing solutions with the aid of WITNESS 20 simulation software, analytic hierarchy process (AHP) as well as analysis of variance (ANOVA). As a result, it was predicted that the OLE will be improved to 89.61 % by enhancing the printer setup efficiency and operators’ troubleshooting skill. It was deduced that the new framework is more advantageous in selecting the best alternative in process improvement projects, compared to the conventional framework in various aspects. 2022-04 Final Year Project / Dissertation / Thesis NonPeerReviewed application/pdf http://eprints.utar.edu.my/4834/1/fyp_IE_YWY_2022.pdf Yong, Wen Yao (2022) Discrete event simulation as a decision making tool for improving overall line efficiency. Final Year Project, UTAR. http://eprints.utar.edu.my/4834/
institution Universiti Tunku Abdul Rahman
building UTAR Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tunku Abdul Rahman
content_source UTAR Institutional Repository
url_provider http://eprints.utar.edu.my
topic T Technology (General)
TA Engineering (General). Civil engineering (General)
spellingShingle T Technology (General)
TA Engineering (General). Civil engineering (General)
Yong, Wen Yao
Discrete event simulation as a decision making tool for improving overall line efficiency
description This paper is about formulating a new decision-making framework that integrates discrete event simulation (DES) software to select the best alternative to improve a manufacturing system. Literature pertaining to decision-making tools, performance metrics and frameworks on decision-making as well as process improvement was reviewed. The advantages and limitations of techniques, strategies as well as frameworks adopted by recent researchers were ascertained. The review discovered that there is lack of comprehensive framework on deploying simulation tool as decision-making supporting instrument in process improvement. Vital features of decision-making and process improvement were explored through literature, and a new framework was designated by incorporating the vital features with rectified gaps found in recent works. To validate the feasibility of the proposed framework, it was then applied in a case study conducted at a box manufacturing factory in Sarawak, Malaysia, to improve the factory’s overall line efficiency (OLE). The framework provided guidelines in goal, objectives and decision criteria setting, constructing simulation models that was precise in reflecting the real system, identifying root causes, generating relevant solutions, experimenting solutions and selecting the best performing solutions with the aid of WITNESS 20 simulation software, analytic hierarchy process (AHP) as well as analysis of variance (ANOVA). As a result, it was predicted that the OLE will be improved to 89.61 % by enhancing the printer setup efficiency and operators’ troubleshooting skill. It was deduced that the new framework is more advantageous in selecting the best alternative in process improvement projects, compared to the conventional framework in various aspects.
format Final Year Project / Dissertation / Thesis
author Yong, Wen Yao
author_facet Yong, Wen Yao
author_sort Yong, Wen Yao
title Discrete event simulation as a decision making tool for improving overall line efficiency
title_short Discrete event simulation as a decision making tool for improving overall line efficiency
title_full Discrete event simulation as a decision making tool for improving overall line efficiency
title_fullStr Discrete event simulation as a decision making tool for improving overall line efficiency
title_full_unstemmed Discrete event simulation as a decision making tool for improving overall line efficiency
title_sort discrete event simulation as a decision making tool for improving overall line efficiency
publishDate 2022
url http://eprints.utar.edu.my/4834/1/fyp_IE_YWY_2022.pdf
http://eprints.utar.edu.my/4834/
_version_ 1753975360616136704
score 13.222552

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