Bounding the Perf. of Ambulance Deploy. Policies

Event Details
  • Date/Time:
    • Tuesday April 10, 2012
      3:00 pm - 4:00 pm
  • Location: ISyE Executive Classroom
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Contact

David Goldberg

dgoldberg9@isye.gatech.edu

Summaries

Summary Sentence: Bounding the Perf. of Ambulance Deploy. Policies

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OR Colloquium

TITLE: Bounding the Performance of Ambulance Deployment Policies

SPEAKER: Shane Henderson

ABSTRACT:

Ambulance organizations everywhere face increasing call volumes, increasing traffic congestion, and shrinking budgets. To keep response times small, many employ some kind of system status management (SSM). SSM is the practice of real-time control of the ambulance fleet, using Global Positioning System (GPS) units on the ambulances to track location, and information from the ambulance crews to track status. Available ambulances are carefully stationed to ensure coverage, while not requiring too many moves of the ambulance crews. I'll review methods for designing SSM policies, and methods for bounding what is achievable with any deployment policy. These bounds are useful in determining whether methods other than SSM need to be employed to achieve contractual targets for response times, and for helping determine when to stop looking for SSM improvements because policies are near optimal. Joint work with Matt Maxwell, Chaoxu Tong and Huseyin Topaloglu.

Bio: Shane G. Henderson is a professor in the School of Operations Research and Information Engineering at Cornell University. He received his PhD from Stanford University in 1997, and has held academic positions in the Department of Industrial and Operations Engineering at the University of Michigan and the Department of Engineering Science at the University of Auckland. His research interests include discrete-event simulation, simulation optimization, and emergency-services planning. He is the current chair of the INFORMS Applied Probability Society, the past simulation area editor for Operations Research, and an associate editor for both Management Science and Stochastic Systems.

 

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H. Milton Stewart School of Industrial and Systems Engineering (ISYE)

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Status
  • Created By: Anita Race
  • Workflow Status: Published
  • Created On: Mar 29, 2012 - 5:28am
  • Last Updated: Oct 7, 2016 - 9:58pm