Solving a multistage partial inspection problem using genetic algorithms
Traditionally, the multistage inspection problem has been formulated as consisting of a decision schedule where some manufacturing stages receive full inspection and the rest none. Dynamic programming and heuristic methods (like local search) are the most commonly used solution techniques. A highly...
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| Published in | International journal of production research Vol. 40; no. 8; pp. 1923 - 1940 |
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| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
Taylor & Francis Group
01.01.2002
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| Online Access | Get full text |
| ISSN | 0020-7543 1366-588X |
| DOI | 10.1080/00207540210123337 |
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| Summary: | Traditionally, the multistage inspection problem has been formulated as consisting of a decision schedule where some manufacturing stages receive full inspection and the rest none. Dynamic programming and heuristic methods (like local search) are the most commonly used solution techniques. A highly constrained multistage inspection problem is presented where all stages must receive partial rectifying inspection and it is solved using a real-valued genetic algorithm. This solution technique can handle multiple objectives and quality constraints effectively. |
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| ISSN: | 0020-7543 1366-588X |
| DOI: | 10.1080/00207540210123337 |