Chance-constrained Scheduling via Conflict-directed Risk Allocation
Temporal uncertainty in large-scale logistics forces one to trade off between lost efficiency through built-in slack and costly replanning when deadlines are missed. Due to the difficulty of reasoning about such likelihoods and consequences, a computational framework is needed to quantify and bound...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
Association for the Advancement of Artificial Intelligence
2015
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| Online Access: | http://hdl.handle.net/1721.1/92982 https://orcid.org/0000-0002-1057-3940 |