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/ http://irep.iium.edu.my/35285/ http://irep.iium.edu.my/35285/1/azmi_iess2013.pdf

id	iium-35285
recordtype	eprints
spelling	iium-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 PeerReviewed 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/
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
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/ http://irep.iium.edu.my/35285/ http://irep.iium.edu.my/35285/1/azmi_iess2013.pdf
first_indexed	2023-09-18T20:50:37Z
last_indexed	2023-09-18T20:50:37Z
_version_	1777409969057955840

Solving fuzzy-facilities layout problem using genetic algorithm

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