Robust manufacturing system design using petri nets and bayesian methods
Manufacturing system design decisions are costly and involve significant investment in terms of allocation of resources. These decisions are complex, due to uncertainties related to uncontrollable factors such as processing times and part demands. Designers often need to find a robust manufacturing...
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| Format: | Others |
| Language: | en_US |
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Texas A&M University
2008
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| Online Access: | http://hdl.handle.net/1969.1/85935 |