Productivity improvement using discrete events simulation

The increasing in complexity of the manufacturing systems has increased the cost of investment in many industries. Furthermore, the theoretical feasibility studies are not enough to take the decision in investing for that particular area. Therefore, the development of the new advanced software is pr...

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Main Authors:	Al Hazza, Muataz Hazza Faizi, Elbishari, E M Y, Ismail, Md Yusof, Adesta, Erry Yulian Triblas, Abdul Rahman, Nur Salihah
Format:	Conference or Workshop Item
Language:	English English
Published:	IOP Publishing 2018
Subjects:	T Technology (General)
Online Access:	http://irep.iium.edu.my/61753/ http://irep.iium.edu.my/61753/ http://irep.iium.edu.my/61753/ http://irep.iium.edu.my/61753/7/61753-Productivity%20improvement.pdf http://irep.iium.edu.my/61753/13/61753_Productivity%20improvement_scopus.pdf

id	iium-61753
recordtype	eprints
spelling	iium-617532018-08-09T06:50:32Z http://irep.iium.edu.my/61753/ Productivity improvement using discrete events simulation Al Hazza, Muataz Hazza Faizi Elbishari, E M Y Ismail, Md Yusof Adesta, Erry Yulian Triblas Abdul Rahman, Nur Salihah T Technology (General) The increasing in complexity of the manufacturing systems has increased the cost of investment in many industries. Furthermore, the theoretical feasibility studies are not enough to take the decision in investing for that particular area. Therefore, the development of the new advanced software is protecting the manufacturer from investing money in production lines that may not be sufficient and effective with their requirement in terms of machine utilization and productivity issue. By conducting a simulation, using accurate model will reduce and eliminate the risk associated with their new investment. The aim of this research is to prove and highlight the importance of simulation in decision-making process. Delmia quest software was used as a simulation program to run a simulation for the production line. A simulation was first done for the existing production line and show that the estimated production rate is 261 units/day. The results have been analysed based on utilization percentage and idle time. Two different scenarios have been proposed based on different objectives. The first scenario is by focusing on low utilization machines and their idle time, this was resulted in minimizing the number of machines used by three with the addition of the works who maintain them without having an effect on the production rate. The second scenario is to increase the production rate by upgrading the curing machine which lead to the increase in the daily productivity by 7% from 261 units to 281units IOP Publishing 2018-01-30 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/61753/7/61753-Productivity%20improvement.pdf application/pdf en http://irep.iium.edu.my/61753/13/61753_Productivity%20improvement_scopus.pdf Al Hazza, Muataz Hazza Faizi and Elbishari, E M Y and Ismail, Md Yusof and Adesta, Erry Yulian Triblas and Abdul Rahman, Nur Salihah (2018) Productivity improvement using discrete events simulation. In: International Conference on Advances in Manufacturing and Materials Engineering (ICAMME 2017), 8th–9th August 2017, Kuala Lumpur, Malaysia. http://iopscience.iop.org/article/10.1088/1757-899X/290/1/012025/pdf 10.1088/1757-899X/290/1/012025
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	T Technology (General)
spellingShingle	T Technology (General) Al Hazza, Muataz Hazza Faizi Elbishari, E M Y Ismail, Md Yusof Adesta, Erry Yulian Triblas Abdul Rahman, Nur Salihah Productivity improvement using discrete events simulation
description	The increasing in complexity of the manufacturing systems has increased the cost of investment in many industries. Furthermore, the theoretical feasibility studies are not enough to take the decision in investing for that particular area. Therefore, the development of the new advanced software is protecting the manufacturer from investing money in production lines that may not be sufficient and effective with their requirement in terms of machine utilization and productivity issue. By conducting a simulation, using accurate model will reduce and eliminate the risk associated with their new investment. The aim of this research is to prove and highlight the importance of simulation in decision-making process. Delmia quest software was used as a simulation program to run a simulation for the production line. A simulation was first done for the existing production line and show that the estimated production rate is 261 units/day. The results have been analysed based on utilization percentage and idle time. Two different scenarios have been proposed based on different objectives. The first scenario is by focusing on low utilization machines and their idle time, this was resulted in minimizing the number of machines used by three with the addition of the works who maintain them without having an effect on the production rate. The second scenario is to increase the production rate by upgrading the curing machine which lead to the increase in the daily productivity by 7% from 261 units to 281units
format	Conference or Workshop Item
author	Al Hazza, Muataz Hazza Faizi Elbishari, E M Y Ismail, Md Yusof Adesta, Erry Yulian Triblas Abdul Rahman, Nur Salihah
author_facet	Al Hazza, Muataz Hazza Faizi Elbishari, E M Y Ismail, Md Yusof Adesta, Erry Yulian Triblas Abdul Rahman, Nur Salihah
author_sort	Al Hazza, Muataz Hazza Faizi
title	Productivity improvement using discrete events simulation
title_short	Productivity improvement using discrete events simulation
title_full	Productivity improvement using discrete events simulation
title_fullStr	Productivity improvement using discrete events simulation
title_full_unstemmed	Productivity improvement using discrete events simulation
title_sort	productivity improvement using discrete events simulation
publisher	IOP Publishing
publishDate	2018
url	http://irep.iium.edu.my/61753/ http://irep.iium.edu.my/61753/ http://irep.iium.edu.my/61753/ http://irep.iium.edu.my/61753/7/61753-Productivity%20improvement.pdf http://irep.iium.edu.my/61753/13/61753_Productivity%20improvement_scopus.pdf
first_indexed	2023-09-18T21:27:34Z
last_indexed	2023-09-18T21:27:34Z
_version_	1777412294028820480

Productivity improvement using discrete events simulation

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