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| Titel: |
Manufacturing cell design: an integer programming model employing genetic algorithms |
| Auteur: |
Joines, Jeffrey A. Culbreth, C. Thomas King, Russell E. |
| Verschenen in: |
IIE transactions |
| Paginering: | Jaargang 28 (1996) nr. 1 pagina's 69-85 |
| Jaar: |
1996-01-01 |
| Inhoud: |
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. |
| Uitgever: |
Taylor & Francis |
| Bronbestand: |
Elektronische Wetenschappelijke Tijdschriften |
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