A decision support system for interactive planning and scheduling in smart manufacturing
High uncertainty in terms of incoming production orders, supply chain disruption and dynamic shop-floor condition are critical issues faced by manufacturing firms in daily production. These uncertainties pose extreme challenges for companies to handle production planning and scheduling in disconnect...
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| Format: | Thesis-Doctor of Philosophy |
| Language: | English |
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Nanyang Technological University
2023
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| Online Access: | https://hdl.handle.net/10356/166319 |