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Solving fuzzy-facilities layout problem using genetic algorithm

Facilities layout is one of the important factor to be considered for efficiency and effectiveness of the production system. A good departments layout leads to minimum material flow cost. In departments layout analysis, there are several important factors that need to be considered. The most importa...

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Main Authors:	Purnomo, Muhammad Ridwan Andi, Mandiri, Amalia Ramadhana, Hassan, Azmi
Format:	Conference or Workshop Item
Language:	English
Published:	2013
Subjects:	T Technology (General)
Online Access:	http://irep.iium.edu.my/35285/1/azmi_iess2013.pdf http://irep.iium.edu.my/35285/ http://iess.its.ac.id/programme/
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id	my.iium.irep.35285
record_format	dspace
spelling	my.iium.irep.352852014-02-10T07:29:31Z http://irep.iium.edu.my/35285/ Solving fuzzy-facilities layout problem using genetic algorithm Purnomo, Muhammad Ridwan Andi Mandiri, Amalia Ramadhana Hassan, Azmi T Technology (General) Facilities layout is one of the important factor to be considered for efficiency and effectiveness of the production system. A good departments layout leads to minimum material flow cost. In departments layout analysis, there are several important factors that need to be considered. The most important factor in such analysis is activity relationship among departments. Most of the previous researches assume that the activity relationship is a fixed matrix to be used as input of optimisation analysis. This assumption is not relevant with real production system condition, which has dynamic situation. This study proposes a fuzzy logic to model activity relationship among departments. The output of the fuzzy logic is closeness rating among departments. There are 3 inputs considered in the fuzzy modelling namely material flow, frequency of equipment movement and number of operator. Further, the obtained matrix is used for layout optimisation that conducted using Genetic Algorithm (GA). Comparison study among optimised and initial layout has also carried out and it shows that the optimised layout has 8.6% of improvement. 2013-08-20 Conference or Workshop Item REM application/pdf en http://irep.iium.edu.my/35285/1/azmi_iess2013.pdf Purnomo, Muhammad Ridwan Andi and Mandiri, Amalia Ramadhana and Hassan, Azmi (2013) Solving fuzzy-facilities layout problem using genetic algorithm. In: The 2nd International Conference on Industrial Engineering and Service Science, 20-22 August 2013, Surabaya, Indonesia. http://iess.its.ac.id/programme/
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
topic	T Technology (General)
spellingShingle	T Technology (General) Purnomo, Muhammad Ridwan Andi Mandiri, Amalia Ramadhana Hassan, Azmi Solving fuzzy-facilities layout problem using genetic algorithm
description	Facilities layout is one of the important factor to be considered for efficiency and effectiveness of the production system. A good departments layout leads to minimum material flow cost. In departments layout analysis, there are several important factors that need to be considered. The most important factor in such analysis is activity relationship among departments. Most of the previous researches assume that the activity relationship is a fixed matrix to be used as input of optimisation analysis. This assumption is not relevant with real production system condition, which has dynamic situation. This study proposes a fuzzy logic to model activity relationship among departments. The output of the fuzzy logic is closeness rating among departments. There are 3 inputs considered in the fuzzy modelling namely material flow, frequency of equipment movement and number of operator. Further, the obtained matrix is used for layout optimisation that conducted using Genetic Algorithm (GA). Comparison study among optimised and initial layout has also carried out and it shows that the optimised layout has 8.6% of improvement.
format	Conference or Workshop Item
author	Purnomo, Muhammad Ridwan Andi Mandiri, Amalia Ramadhana Hassan, Azmi
author_facet	Purnomo, Muhammad Ridwan Andi Mandiri, Amalia Ramadhana Hassan, Azmi
author_sort	Purnomo, Muhammad Ridwan Andi
title	Solving fuzzy-facilities layout problem using genetic algorithm
title_short	Solving fuzzy-facilities layout problem using genetic algorithm
title_full	Solving fuzzy-facilities layout problem using genetic algorithm
title_fullStr	Solving fuzzy-facilities layout problem using genetic algorithm
title_full_unstemmed	Solving fuzzy-facilities layout problem using genetic algorithm
title_sort	solving fuzzy-facilities layout problem using genetic algorithm
publishDate	2013
url	http://irep.iium.edu.my/35285/1/azmi_iess2013.pdf http://irep.iium.edu.my/35285/ http://iess.its.ac.id/programme/
_version_	1643610762939203584
score	13.211869

Solving fuzzy-facilities layout problem using genetic algorithm

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