The ideal situation of CM is achieved when each part-cluster together with the machine-cluster for the manufacturing cell is independent from the rest of manufacturing cell, that is exceptional elements are non existent. However, such a situation is rarely achieved. In this paper, a cell formation algorithm that identifies part-clusters and machine-clusters separately is introduced. The algorithm is based on fuzzy clustering and the assignment technique. Computational experience shows that this new algorithm can give superior performance, especially for higher density machine-part incidence matrices. KEYWORDS
One of the major steps in designing cellular manufacturing systems is to form cells. This involves i...
Cell formation has received much attention from academicians and practitioners because of its strate...
Abstract: The crucial problem in cellular manufacturing system (CMS) is to identify the machine cell...
© IFAC. This paper presents a two-phase clustering algorithm for machine-cell and part-family format...
There are several methods and techniques for manufacturing cell design. Many clustering techniques h...
AbstractAn approach based on fuzzy clustering and aggregation operators is proposed to design cell f...
Among the many accepted clustering techniques, the fuzzy clustering approaches have been developed o...
The purpose of this paper is to advance the similarity coefficient method to solve cell formation (C...
An approach to determining the optimal cell number of manufacturing cell formation is presented. Fir...
This chapter illustrates the cell formation problem (CFP) supported by similarity based methods. In ...
none3noThis chapter illustrates the cell formation problem (CFP) as supported by the similarity base...
A graph clustering algorithm constructs groups of closely related parts and machines separately. Aft...
This book focuses on a development of optimal, flexible, and efficient models and algorithms for cel...
Cellular manufacturing (CM) is a modern manufacturing concept based on the Group technology (GT) phi...
AbstractWhile cell formation (CF) problems have been studied for few decades, the purpose of this pa...
One of the major steps in designing cellular manufacturing systems is to form cells. This involves i...
Cell formation has received much attention from academicians and practitioners because of its strate...
Abstract: The crucial problem in cellular manufacturing system (CMS) is to identify the machine cell...
© IFAC. This paper presents a two-phase clustering algorithm for machine-cell and part-family format...
There are several methods and techniques for manufacturing cell design. Many clustering techniques h...
AbstractAn approach based on fuzzy clustering and aggregation operators is proposed to design cell f...
Among the many accepted clustering techniques, the fuzzy clustering approaches have been developed o...
The purpose of this paper is to advance the similarity coefficient method to solve cell formation (C...
An approach to determining the optimal cell number of manufacturing cell formation is presented. Fir...
This chapter illustrates the cell formation problem (CFP) supported by similarity based methods. In ...
none3noThis chapter illustrates the cell formation problem (CFP) as supported by the similarity base...
A graph clustering algorithm constructs groups of closely related parts and machines separately. Aft...
This book focuses on a development of optimal, flexible, and efficient models and algorithms for cel...
Cellular manufacturing (CM) is a modern manufacturing concept based on the Group technology (GT) phi...
AbstractWhile cell formation (CF) problems have been studied for few decades, the purpose of this pa...
One of the major steps in designing cellular manufacturing systems is to form cells. This involves i...
Cell formation has received much attention from academicians and practitioners because of its strate...
Abstract: The crucial problem in cellular manufacturing system (CMS) is to identify the machine cell...