Opportunities for Improved Statistical Process Control
A Bayesian dynamic programming model builds on existing models to account for inspection delay, choice of keeping production going during inspection and/or restoration, and lot sizing. How dynamic statistical process control rules can improve on traditional, static ones is described. Numerical examp...
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| Main Authors: | , |
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| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
1997
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| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/lkcsb_research/1052 |
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| Institution: | Singapore Management University |
| Language: | English |