Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
Improving Access to Healthcare: Models of Adaptive Behavior Read chapter Read first chapter

2013 | OriginalPaper | Chapter

11. Simulation and Real-Time Optimised Relocation for Improving Ambulance Operations

Author : Andrew James Mason

Published in: Handbook of Healthcare Operations Management

Publisher: Springer New York

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

In this chapter we discuss operations research models and methods for simulating and optimizing ambulance operations. We also discuss our experiences in developing and applying software that implements these techniques. We describe a new simulation-optimization algorithm for base location. We also present a case study detailing how the software we developed was used as part of a major reorganisation of ambulance operations in Copenhagen, Denmark. This chapter also examines the complex problem of real-time ambulance relocation. We review the literature in this area, and describe a new real-time ambulance re-positioning optimisation model and associated software now being used by ambulance operators in several countries to improve their operations.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
previous chapter No-Show Modeling for Adult Ambulatory Clinics
next chapter Planning and Managing Mass Prophylaxis Clinic Operations
Appendix
Available only for authorised users
Literature
Andersson T, Värband P (2007) Decision support tools for ambulance dispatch and relocation. J Oper Res Soc 58:195–201
Andradóttir S (2006a) Metamodel-based simulation optimization. In: Henderson SG, Nelson BL (eds) Handbook in operations research and management science, vol 13, Chap 20. Elsevier, Amsterdam, pp 535–574
Andradóttir S (2006b) An overview of simulation optimization via random search. In: Henderson SG, Nelson BL (eds) Handbook in operations research and management science, vol 13, Chap 20. Elsevier, Amsterdam, pp 617–631
Berman O (1981a) Dynamic repositioning of indistinguishable service units on transportation networks. Transport Sci 15(2):115–136CrossRef
Berman O (1981b) Repositioning of distinguishable urban service units on networks. Comput Oper Res 8(2):105–118CrossRef
Berman O, Krass D (2002) Facility location problems with stochastic demands and congestion. In: Drezner Z, Hamacher HW (eds) Location analysis: applications and theory. Springer, New York
Brotcorne L, Laporte G, Semet F (2003) Ambulance location and relocation models. Eur J Oper Res 147:451–463CrossRef
Budge S, Ingolfsson A, Erkut AE (2009) Approximating vehicle dispatch probabilities for emergency service systems with location-specific service times and multiple units per location. Oper Res 57:251–255CrossRef
Budge S, Ingolfsson A, Zerom D (2010) Empirical analysis of ambulance travel times: the case of Calgary emergency medical services. Manag Sci 56(4):716–723CrossRef
Church RL, ReVelle CS (1974) The maximal covering location problem. Paper Reg Sci Assoc 32:101–118CrossRef
Daskin MS (1983) A maximum expected coverage location model: Formulation, properties and heuristic solution. In Transportation Science. 48–70, 17.
Daskin MS (1987) Location, dispatching and routing models for emergency services with stochastic travel times. In: Ghosh A, Rushton G (eds) Spatial analysis and location-allocation models. Van Nostrand Reinhold Co., New York. Northwestern University, pp 224–265
Erkut E, Ingolfsson A, Erdogan G (2008) Ambulance deployment for maximum survival. Naval Res Logist 55:42–58CrossRef
Fu MC (2006) Gradient estimation. In: Henderson SG, Nelson BL (eds) Handbook in operations research and management science, vol 13, Chap 19. Elsevier, Amsterdam, pp 535–574
Fu MC, Glover FW, April J (2005) Simulation optimization: a review, new developments, and applications. In: Kuhl ME, Steiger NM, Armstrong FB, Joines JA (eds) Proceedings of the 37th Winter Simulation Conference, Orlando, FL, USA, 4–7, 2005. ACM 2005, ISBN 0-7803-9519-0
Gendreau M, Laporte G, Semet F (1997) Solving an ambulance location model by tabu search. Location Sci 5(2):75–88CrossRef
Gendreau M, Laporte G, Semet F (2001) A dynamic model and parallel tabu search heuristic for real-time ambulance relocation. Parallel Comput 27:1641–1653CrossRef
Gendreau M, Laporte G, Semet F (2006) The maximal expected coverage relocation problem for emergency vehicles. J Oper Res Soc 57:22–28CrossRef
Goldberg JB (2004) Operations research models for the deployment of emergency services vehicles. EMS Manag J 1:20–39
Henderson SG (2010) Operations research tools for addressing current challenges in emergency medical services. In: Cochran JJ (ed) Wiley encyclopedia of operations research and management science. Wiley, New York
Henderson SG, Mason AJ (1999) Estimating ambulance requirements in Auckland. In: Proceedings of the winter simulation conference, Phoenix, Arizona, vol 2, pp 1670–1674
Henderson SG, Mason AJ (2004) Ambulance service planning: simulation and data visualization. In: Brandeau M, Sainfort F, Pierskalla W (eds) Operations research and health care: a handbook of methods and applications. International series in operations research & management science, vol 70, Chap 4. Kluwer, Dordecht, pp 77–102
Hogan K, ReVelle C (1986) Concepts and applications of backup coverage. Manag Sci 32: 1434–1444CrossRef
Ingolfsson A, Budge S, Erkut E (2008) Optimal ambulance location with random delays and travel times. Health Care Manag Sci 11:262–274CrossRef
Kolesar P, Walker WE (1974) An algorithm for the dynamic relocation of fire companies. Oper Res 22(2):249–274CrossRef
Larson RC (1974) A hypercube queuing model for facility location and re-sub-areaing in urban emergency services. Comput Oper Res 1:67–95CrossRef
Larson RC (1975) Approximating the performance of urban emergency service systems. Oper Res 23
Law AM, Kelton WD (1999) Simulation modeling and analysis, 3rd edn. McGraw-Hill, New York
Mason AJ (2006) Faster map matching for emergency vehicle trip analysis. In: Proceedings of the 41st annual conference of the Operational Research Society of New Zealand, vol 41. Operations Research Society of New Zealand, New Zealand, pp 19–28
Mason AJ, Henderson SG (2010) An optimisation approach for map matching using sparse ambulance GPS data. Proceedings of the 5th INFORMS Workshop on Data Mining and Health Informatics (DM-HI 2010) D. Sundaramoorthi, M. Lavieri, H. Zhao, eds. published by INFORMS.
Maxwell MS, Restrepo M, Henderson SG, Topaloglu H (2010) Approximate dynamic programming for ambulance redeployment. INFORMS J Comput 22(2):266–281CrossRef
Nair R, Miller-Hooks E (2009) Evaluation of relocation strategies for emergency medical service vehicles. Transport Res Record 2137:63–73CrossRef
Rajagopalan HK, Saydam C, Xiao J (2008) A multiperiod expected covering location model for dynamic redeployment of ambulances. Comput Oper Res 35:814–826CrossRef
Region Hovedstaden (2008) Fremtidens ambulancekørsel og sygetransport i Region Hovedstaden (Future ambulances and patient transport in the Capital Region). http://​www.​regionh.​dk/​NR/​rdonlyres/​623A992C-F102-4E80-971A-A7A0E2D41C0F/​0/​Fremtidensambula​ncek%C3%B8rselogsygetransport.pdf. Accessed 11 Aug 2011
Region Hovedstaden (2009a) Ambulanceudbud 2009 (Ambulance Contract 2009). http://​www.​regionh.​dk/​menu/​sundhedOghospita​ler/​Til+fagfolk/​Akut+Medicin+og+​Sundhedsberedska​b/​Praehospital/​Praehospital+ark​iv/​Ambulanceudbud+2​009.​htm.​ Accessed 11 Aug 2011
Repede J, Bernardo J (1994) Developing and validating a decision support system for locating emergency medical vehicles in Louisville, Kentucky. Eur J Oper Res 75:567–581CrossRef
Restrepo M, Henderson SG, Topaloglu H (2009) Erlang loss models for the static deployment of ambulances. Health Care Manag Sci 12:67–79CrossRef
Schilling DA, Elzinga DJ, Cohon J, Church RL, ReVelle CS (1979) The TEAM/FLEET models for simultaneous facility and equipment siting. Transport Sci 13:163–175CrossRef
Schmid V, Doerner KF (2010) Ambulance location and relocation problems with time-dependent travel times. Eur J Oper Res 207(3):1293–1303CrossRef
Stout JL (1983) System status management: the strategy of ambulance placement. System status management: the strategy of ambulance placement. J Emerg Med Serv 8:22–32
Toregas CR, Swain R, ReVelle CS, Bergman L (1971) The location of emergency service facilities. Oper Res 19:1363–1373CrossRef
Wright PD, Liberatore MJ, Nydick RL (2006) A survey of operations research models and applications in homeland security. Interfaces 36:514–529CrossRef
Zhang L, Mason AJ, Philpott AB (2009) Optimization of a single ambulance move up. In: Proceedings of the 44th annual conference of the Operational Research Society of New Zealand. Operations Research Society of New Zealand, New Zealand, pp 225–226
Zhang L, Mason AJ, Philpott AB (2012) Optimising single-ambulance move-up. Forthcoming
Metadata
Title
Simulation and Real-Time Optimised Relocation for Improving Ambulance Operations
Author
Andrew James Mason
Copyright Year
2013
Publisher
Springer New York
Book
Handbook of Healthcare Operations Management

Print ISBN: 978-1-4614-5884-5

Electronic ISBN: 978-1-4614-5885-2

Copyright Year: 2013

DOI
https://doi.org/10.1007/978-1-4614-5885-2_11