FAMILY OF PARTS FORMATION AND NUMBER OF CLUSTERS OPTIMIZATION IN GROUP TECHNOLOGY WITH NEURAL NETWORK AND META-HEURISTIC METHODS

Group Technology (GT) is one of manufacturing philosophy, which is popular with identifying and grouping parts into part families. Many benefits in flow line production can be obtained by implementing GT, such as

Saved in:

Bibliographic Details
Main Authors:	, Annisa Uswatun Kh., , Dr. Andi Sudiarso.
Format:	Theses and Dissertations NonPeerReviewed
Published:	[Yogyakarta] : Universitas Gadjah Mada 2013
Subjects:	ETD
Online Access:	https://repository.ugm.ac.id/126135/ http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=66331
Tags:	Add Tag No Tags, Be the first to tag this record!
Institution:	Universitas Gadjah Mada

id	id-ugm-repo.126135
record_format	dspace
spelling	id-ugm-repo.1261352016-03-04T08:26:42Z https://repository.ugm.ac.id/126135/ FAMILY OF PARTS FORMATION AND NUMBER OF CLUSTERS OPTIMIZATION IN GROUP TECHNOLOGY WITH NEURAL NETWORK AND META-HEURISTIC METHODS , Annisa Uswatun Kh. , Dr. Andi Sudiarso. ETD Group Technology (GT) is one of manufacturing philosophy, which is popular with identifying and grouping parts into part families. Many benefits in flow line production can be obtained by implementing GT, such as [Yogyakarta] : Universitas Gadjah Mada 2013 Thesis NonPeerReviewed , Annisa Uswatun Kh. and , Dr. Andi Sudiarso. (2013) FAMILY OF PARTS FORMATION AND NUMBER OF CLUSTERS OPTIMIZATION IN GROUP TECHNOLOGY WITH NEURAL NETWORK AND META-HEURISTIC METHODS. UNSPECIFIED thesis, UNSPECIFIED. http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=66331
institution	Universitas Gadjah Mada
building	UGM Library
country	Indonesia
collection	Repository Civitas UGM
topic	ETD
spellingShingle	ETD , Annisa Uswatun Kh. , Dr. Andi Sudiarso. FAMILY OF PARTS FORMATION AND NUMBER OF CLUSTERS OPTIMIZATION IN GROUP TECHNOLOGY WITH NEURAL NETWORK AND META-HEURISTIC METHODS
description	Group Technology (GT) is one of manufacturing philosophy, which is popular with identifying and grouping parts into part families. Many benefits in flow line production can be obtained by implementing GT, such as
format	Theses and Dissertations NonPeerReviewed
author	, Annisa Uswatun Kh. , Dr. Andi Sudiarso.
author_facet	, Annisa Uswatun Kh. , Dr. Andi Sudiarso.
author_sort	, Annisa Uswatun Kh.
title	FAMILY OF PARTS FORMATION AND NUMBER OF CLUSTERS OPTIMIZATION IN GROUP TECHNOLOGY WITH NEURAL NETWORK AND META-HEURISTIC METHODS
title_short	FAMILY OF PARTS FORMATION AND NUMBER OF CLUSTERS OPTIMIZATION IN GROUP TECHNOLOGY WITH NEURAL NETWORK AND META-HEURISTIC METHODS
title_full	FAMILY OF PARTS FORMATION AND NUMBER OF CLUSTERS OPTIMIZATION IN GROUP TECHNOLOGY WITH NEURAL NETWORK AND META-HEURISTIC METHODS
title_fullStr	FAMILY OF PARTS FORMATION AND NUMBER OF CLUSTERS OPTIMIZATION IN GROUP TECHNOLOGY WITH NEURAL NETWORK AND META-HEURISTIC METHODS
title_full_unstemmed	FAMILY OF PARTS FORMATION AND NUMBER OF CLUSTERS OPTIMIZATION IN GROUP TECHNOLOGY WITH NEURAL NETWORK AND META-HEURISTIC METHODS
title_sort	family of parts formation and number of clusters optimization in group technology with neural network and meta-heuristic methods
publisher	[Yogyakarta] : Universitas Gadjah Mada
publishDate	2013
url	https://repository.ugm.ac.id/126135/ http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=66331
_version_	1681232383688310784

FAMILY OF PARTS FORMATION AND NUMBER OF CLUSTERS OPTIMIZATION IN GROUP TECHNOLOGY WITH NEURAL NETWORK AND META-HEURISTIC METHODS

Similar Items