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BİR VİNÇ ATÖLYESİNDE İKİLİ VERİLERE DAYALI HÜCRE OLUŞTURMA YÖNTEMLERİYLE HÜCRELERİN OLUŞTURULMASI

FORMATION OF CELLS IN A CRANE SHOP BY THE BINARY DATA BASED CELL FORMATION METHODS

Journal Name:

  • Erciyes Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi

Publication Year:

  • 2009

Key Words:

Keywords (Original Language):

Author NameUniversity of AuthorFaculty of Author
Abstract (2. Language): 
Manufacturing companies that activate on the functional layout need a specific procedure while switching to the cellular manufacturing. The first step in this procedure is formation of cells in the appropriate amount and sizes. The part-machine incidence matrix that consists of binary data and shows production flows of the parts can be used to form cells. Parts and machines are represented on rows and columns in this matrix. The machine cells and part families are determined by the transformation of this binary part-machine incidence matrix to the blockdiagonal matrix. There are many methods to form a block-diagonal matrix. In this study, three of these methods have been applied to a part-machine incidence matrix that was gathered from a crane shop. As a result, it has been proposed that a new layout which consisted of two cells. The purpose of this study is to make this presented procedure as a traceable example for the similar shops.
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Abstract (Original Language): 
Fonksiyonel yerleşim düzeninde faaliyet gösteren üretim işletmelerinde hücresel üretime geçiş belirli bir süreci gerektirir. Bu sürecin ilk aşaması hücrelerin uygun sayı ve büyüklükte oluşturulmasıdır. Hücrelerin oluşturulmasında parçaların üretim akışlarını gösteren ve ikili verilerden oluşan parça-makine görünüm matrisinden yararlanılabilir. Bu matriste parçalar ve makineler, satırlar ve sütunlarla temsil edilir. Bu ikili matris blok-köşegen matrise dönüştürülerek makine hücreleri ve parça aileleri belirlenir. Blok-köşegen matris oluşturmada birçok yöntem vardır. Bu çalışmada bir vinç atölyesinden elde edilen parça-makine görünüm matrisine bu yöntemlerden üçü uygulanmıştır. Sonuçta iki hücreden oluşan yeni bir yerleşim düzeni önerilmiştir. Çalışmanın amacı sunulan prosedürün benzer atölyeler için de izlenebilecek bir örnek teşkil etmesidir.
FULL TEXT (PDF): 
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  • 32
135-151
  • Turkish

REFERENCES

References: 

BEZDEK, James C.; (1981), Patern Recognition with Fuzzy Objective
Function Algorithms, Plenum Press, New York, New York, USA,
256s.
BURBIDGE, John L.; (1975), The Introduction of Group Technology,
William Heinemann Ltd., London, 267s.
CHENG, Chun Hung; Ashok KUMAR ve Jaideep MOTWANI; (1995), “A
Comparative Examination of Selected Cellular Manufacturing
Algorithms”, International Journal of Operations & Production
Management, 15(12), ss.86-97.
CHU, Chao-Hsien ve Jack C. HAYYA; (1991), “A Fuzzy Clustering Approach
to Manufacturing Cell Formation”, International Journal of
Production Research, 29(7), ss.1475-1487.
HERAGU, Sunderesh; (1997), Facilities Design, PWS Publishing Company,
Boston, MA, USA, ss.281-285.
ISLAM, Khan; MD. Saiful ve Bhaba R. SARKER; (2000), “A Similarity
Coefficient Measure and Machine-Parts Grouping in Cellular
Manufacturing Systems”, International Journal of Production
Research, 38(3), ss.699-720.
KING, J. R.; (1980), “Machine-Component Grouping in Production Flow
Analysis: An Approach Using a Rank Order Clustering Algorithm”,
International Journal of Production Research,18(2), ss. 213-232.
MAHDAVI, Iraj; O. P. KAUSHAL ve M. CHANDRA; (2000), “Graph-Neural
Network Approach in Cellular Manufacturing on the Basis of a Binary
System”, International Journal of Production Research, 39(13),
ss.2913-2922.
MILTENBURG J. ve W. ZHANG; (1991), “A Comparative Evaluation of Nine
Well-Known Algorithms for Solving the Cell Formation Problem in
Group Technology”, Journal of Operations Management, Special
Issue on Group Technology and Cellular Manuffacturing, 10(1), ss.
44-72.
OFFODILE, O. Felix ve John GRZNAR; (1997), “Part Family Formation for
Variety Reduction in Flexible Manufacturing Systems”, International
Journal of Operations & Production Management, 17(3), ss. 291-
304.
RUSPINI, E.; (1970), “Numerical Methods for Fuzzy Clustering”, Information
Science, 2(1), ss. 319-350.WON, Youkyung ve Kun Chang LEE; (2001), “Group Technology Cell
Formation Considering Operation Sequences and Production
Volumes”, International Journal of Production Research, 39(13), ss.
2755-2768.
XU, Haiping ve Hsu-Pin (Ben) WANG; (1989), “Part Family Formation for GT
Aplications Based on Fuzzy Mathematics”, International Journal of
Production Research, 27(9), ss. 1637-1651.
YIN, Yong ve Kazuhiko YASUDA; (2005), “Similarity Coefficient Methods
Applied to The Cell Formation Problem: A Comparative Investigation”,
Computers & Industrial Engineering, 48(3), ss. 471-489.

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