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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التفاصيل البيبلوغرافية
المؤلفون الرئيسيون: Al Hazza, Muataz Hazza Faizi, Elbishari, E M Y, Ismail, Md Yusof, Adesta, Erry Yulian Triblas, Abdul Rahman, Nur Salihah
التنسيق: Conference or Workshop Item
اللغة:English
English
منشور في: IOP Publishing 2018
الموضوعات:
الوصول للمادة أونلاين:http://irep.iium.edu.my/61753/7/61753-Productivity%20improvement.pdf
http://irep.iium.edu.my/61753/13/61753_Productivity%20improvement_scopus.pdf
http://irep.iium.edu.my/61753/
http://iopscience.iop.org/article/10.1088/1757-899X/290/1/012025/pdf
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spelling my.iium.irep.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
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
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/61753/7/61753-Productivity%20improvement.pdf
http://irep.iium.edu.my/61753/13/61753_Productivity%20improvement_scopus.pdf
http://irep.iium.edu.my/61753/
http://iopscience.iop.org/article/10.1088/1757-899X/290/1/012025/pdf
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score 13.153044