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Please use this identifier to cite or link to this item:
http://hdl.handle.net/2080/696
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| DC Field | Value | Language |
| contributor.author | Choudhury, B B | - |
| contributor.author | Mishra, D | - |
| contributor.author | Biswal, B B | - |
| date.accessioned | 2008-05-31T06:59:30Z | - |
| date.available | 2008-05-31T06:59:30Z | - |
| date.issued | 2008 | - |
| identifier.citation | International Journal Agile System & Management, (Accepted Post-print) | en |
| identifier.uri | http://hdl.handle.net/2080/696 | - |
| description | Copyright for the article belongs to Inderscience | en |
| description.abstract | Driven by open global competition and rapidly changing technology,
manufacturing organizations come across continuous change and significant
amount of uncertainty. With increasing trend in customers’ demand for a greater
variety, high quality and competitive cost, traditional manufacturing approaches
face threats to remain competitive. Flexible Manufacturing Systems (FMS) have
brought in significant benefits to manufacturing sectors. The ability of FMS to
flex to both internal and external changes gives rise to improvement in
throughput, product quality, information flows, reliability, and other strategic
advantages. However, the constraints with the individual candidates of FMS
must be considered while assigning tasks and making schedules. This makes the
scheduling problem complex. Appropriate scheduling methodology can reap
better results. In the present work, Genetic algorithm is utilized for optimization
of scheduling FMS. This approach is used to determine the best available
combination for processing the product and the method has been shown through
suitable example. | en |
| format.extent | 362162 bytes | - |
| format.mimetype | application/pdf | - |
| language.iso | en | - |
| publisher | Inderscience | en |
| subject | FMS | en |
| subject | Task Assignment | en |
| subject | Scheduling | en |
| subject | Constraints | en |
| subject | Genetic Algorithm | en |
| title | Task assignment and scheduling in a constrained manufacturing system using GA | en |
| type | Article | en |
| Appears in Collections: | Journal Articles
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Files in This Item:
| File |
Description |
Size | Format |
| BBB-Inderscience-2008-accepted.pdf | | 353Kb | Adobe PDF | View/Open |
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