
TL;DR
This paper examines scheduling strategies for perishable inventory in a queueing model, applying findings to the 2018 Thai cave rescue to optimize service order under critical conditions.
Contribution
It introduces specific scheduling strategies for perishable inventory in queueing models and demonstrates their application to a real-world rescue operation.
Findings
Effective scheduling strategies can improve rescue operations.
Application of queueing theory to real-world emergencies.
Insights into managing perishable resources in critical scenarios.
Abstract
Scheduling service order, in a very specific queueing/inventory model with perishable inventory, is considered. Different strategies are discusses and results are applied to the tragic cave situation in Thailand in June and July of 2018.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Queuing Theory Analysis · Supply Chain and Inventory Management · Advanced Manufacturing and Logistics Optimization
