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http://hdl.handle.net/2080/428
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| Title: | Genetic Cell Formation Using Ratio Level Data in Cellular Manufacturing Systems |
| Authors: | Mahapatra, S S
Sudhakarapandian, R |
| Keywords: | Exceptional elements
Genetic algorithm
Grouping efficiency |
| Issue Date: | 2007 |
| Publisher: | Sprinter |
| Citation: | International Journal of Advanced Manufacturing Technology, 2007 (Accepted Post print) |
| Abstract: | Manufacturing cell formation is a useful strategy
in batch type production industries for enhancing productivity
and flexibility. The basic idea rests on grouping the
parts into part families and the machines into machine cells.
Most of the literature used zero-one incidence matrix
representing the part visiting a particular machine as one
and zero otherwise. The output is generated in the form of
block diagonal structure where each block represents a
machine cell and a part family. In such models real life
production factors such as operation time and sequence of
operations are not accounted for. In this paper, the
operational time of the parts required for processing in the
machines is considered. It is attempted to develop an
algorithm using genetic algorithm (GA) with a combined
objective of minimizing the total cell load variation and the
exceptional elements. The results are compared with the
solutions obtained from K-means clustering and C-linkage
clustering alg... |
| Description: | Copyright for the published version of this article belongs to Springer. |
| URI: | http://hdl.handle.net/2080/428 |
| Appears in Collections: | Journal Articles
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