Optimal Routing Under Demand Surges: The Value of Future Arrival Rates

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Optimal Routing Under Demand Surges: The Value of Future Arrival Rates
Title:
Optimal Routing Under Demand Surges: The Value of Future Arrival Rates
Journal Title:
Operations Research
Publication Date:
04 September 2023
Citation:
Chen, J., Dong, J., & Shi, P. (2023). Optimal Routing Under Demand Surges: The Value of Future Arrival Rates. Operations Research. https://doi.org/10.1287/opre.2022.0282
Abstract:
When having access to demand forecasts, a crucial question is how to effectively use this information to make better resource allocation decisions, especially during demand surges like the COVID-19 pandemic. Despite the emergence of various advanced prediction models for hospital resources, there has been a lack of prescriptive solutions for hospital managers seeking concrete decision support, for example, guidance on whether to allocate beds from other specialties to meet the surge demand from COVID-19 patients by postponing elective surgeries. In their paper “Optimal Routing under Demand Surge: the Value of Future Arrival Rate,” the authors present a systematic framework to incorporate future demand into routing decisions in parallel server systems with partial flexibility and quantify the benefits of doing so. They propose a simple and interpretable two-stage index-based policy that explicitly incorporates demand forecasts into real-time routing decisions. Their analytical and numerical results demonstrate the policy’s effectiveness, even in the presence of large prediction errors.
License type:
Publisher Copyright
Funding Info:
There was no specific funding for the research done
Description:
ISSN:
1526-5463
0030-364X
Files uploaded:

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