Manufacturing Cell Design: An Integer Programming Model Employing Genetic Algorithms

Manufacturing Cell Design: An Integer Programming Model Employing Genetic Algorithms (1996)

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by Jeffrey A. Joines , C. Thomas Culbreth , Russell E. King

Venue:	IIE Transactions
Citations:	12 - 5 self

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Datum	Value	Source
TITLE	Manufacturing Cell Design: An Integer Programming Model Employing Genetic Algorithms	user correction - Legacy Corrections
AUTHOR NAME	Jeffrey A. Joines	user correction - Legacy Corrections
AUTHOR AFFIL	Graduate Research Assistant	user correction - Legacy Corrections
AUTHOR NAME	C. Thomas Culbreth	user correction - Legacy Corrections
AUTHOR NAME	Russell E. King	user correction - Legacy Corrections
AUTHOR AFFIL	Department of Industrial Engineering; North Carolina State University	user correction - Legacy Corrections
AUTHOR ADDR	Box 7906 Raleigh, NC 27695-7906	user correction - Legacy Corrections
ABSTRACT	The design of a cellular manufacturing system requires that a part population, at least minimally described by its use of process technology (part/machine incidence matrix), be partitioned into part families and that the associated plant equipment be partitioned into machine cells. At the highest level, the objective is to form a set of completely autonomous units such that inter-cell movement of parts is minimized. We present an integer program that is solved using a genetic algorithm (GA) to assist in the design of cellular manufacturing systems. The formulation uses a unique representation scheme for individuals (part/machine partitions) that reduces the size of the cell formation problem and increases the scale of problems that can be solved. This approach offers improved design flexibility by allowing a variety of evaluation functions to be employed and by incorporating design constraints during cell formation. The effectiveness of the GA approach is demonstrated on several problems from the literature.	SVM HeaderParse 0.1
YEAR	1996	INFERENCE
VENUE	IIE Transactions	INFERENCE
VENUE TYPE	JOURNAL	INFERENCE
PAGES	69--85	INFERENCE
VOLUME	28	INFERENCE
CITATIONS	59 found	ParsCit 1.0