The Minimum Expected Penalty Relocation Problem for the Computation of Compliance Tables for Ambulance Vehicles
Published Online:21 Apr 2016https://doi.org/10.1287/ijoc.2015.0687
References
- (2013) A Markov chain model for an EMS system with repositioning. Production Oper. Management 22(1):216–231.Crossref, Google Scholar
- (2007) Decision support tools for ambulance dispatch and relocation. J. Oper. Res. Soc. 58(2):195–201.Crossref, Google Scholar
- (1989) The maximal expected covering location problem: Revisited. Transportation Sci. 23(4):277–287.Link, Google Scholar
- (2003) Ambulance location and relocation models. Eur. J. Oper. Res. 147 (3):451–463.Crossref, Google Scholar
- Burkhard RE, Dell’Amico M, Martello S, eds. (2009) Other types of linear assignment problems. Assignment Problems, Chapter 6 (SIAM, Philadelphia), 171–202.Crossref, Google Scholar
- (1974) The maximal covering location problem. Papers Regional Sci. Assoc. 32(1):101–118.Crossref, Google Scholar
- (1983) A maximum expected covering location model: Formulation, properties and heuristic solution. Transportation Sci. 17(1):48–70.Link, Google Scholar
- (2008) Ambulance location for maximum survival. Naval Res. Logist. 55(1):42–58.Crossref, Google Scholar
- (2001) A dynamic model and parallel tabu search heuristic for real-time ambulance relocation. Parallel Comput. 27(2):1641–1653.Crossref, Google Scholar
- (2006) The maximal expected coverage relocation problem for emergency vehicles. J. Oper. Res. Soc. 57(1):22–28.Crossref, Google Scholar
- (2008) Optimal ambulance location with random delays and travel times. Health Care Management Sci. 11(3):262–274.Crossref, Google Scholar
- (2015) An efficient heuristic for real-time ambulance redeployment. Oper. Res. Health Care 4:27–35.Crossref, Google Scholar
- (2008) Referentiekader spreiding en beschikbaarheid ambulancezorg. RIVM Briefrapport 270192001/2008. Accessed March 27, 2016, https://www.ambulancezorg.nl/download/downloads/1538/referentiekaderspreiding-en-beschikbaarheid-2008.pdf.Google Scholar
- (1993) Predicting survival from out-of-hospital cardiac arrest—A graphic model. Ann. Emergency Medicine 22(11):1652–1658.Crossref, Google Scholar
- (1975) Approximating the performance of urban emergency service systems. Oper. Res. 23(5):845–868.Link, Google Scholar
- (2011) Covering models and optimization techniques for emergency response facility location and planning: A review. Math. Methods Oper. Res. 74(3):281–310.Crossref, Google Scholar
- (2003) Optimal defibrillation for maximum out-of-hospital cardiac arrest survival rates. Ann. Emergency Medicine 42(2):242–250.Crossref, Google Scholar
- (2014) Two new models for redeployment of ambulances. Comput. Indust. Engrg. 78:271–284.Crossref, Google Scholar
- (2013) Tuning approximate dynamic programming policies for ambulance redeployment via direct search. Stochastic Systems 3(2):322–361.Link, Google Scholar
- (2010) Approximate dynamic programming for ambulance redeployment. INFORMS J. Comput. 22(2):266–281.Link, Google Scholar
- (2010) Evaluating emergency medical service performance measures. Health Care Management Sci. 13(2):124–136.Crossref, Google Scholar
- (2008) A multiperiod set covering location model for dynamic redeployment of ambulances. Comput. Oper. Res. 35(3):814–826.Crossref, Google Scholar
- (1994) Developing and validating a decision support system for locating emergency medical vehicles in Louisville, Kentucky. Eur. J. Oper. Res. 75(3):567–581.Crossref, Google Scholar
- (1970) Central facilities location. Geographical Anal. 2(1):30–42.Crossref, Google Scholar
- (2012) Solving the dynamic ambulance relocation and dispatching problem using approximate dynamic programming. Eur. J. Oper. Res. 219(3):611–621.Crossref, Google Scholar
- (2010) Ambulance location and relocation problems with time-dependent travel times. Eur. J. Oper. Res. 207(3):1293–1303.Crossref, Google Scholar
- (2016) A nested-compliance table policy for emergency medical service systems under relocation. OMEGA 58:154–168.Crossref, Google Scholar
- (1997) Estimating effectiveness of cardiac arrest intervention—A logistic regression survival model. Circulation 96(10):3308–3313.Crossref, Google Scholar
- (2015) A dynamic ambulance management model for rural areas. Health Care Management Sci., ePub ahead of print October 3, http://dx.doi.org/10.1007/s10729-015-9341-3.Google Scholar
- (2015) Time-dependent MEXCLP with start-up and relocation cost. Eur. J. Oper. Res. 242(2):383–389.Crossref, Google Scholar
- (2001) Survival models for out-of-hospital cardiopulmonary resuscitation from the perspectives of the bystander, the first responder, and the paramedic. Resuscitation 51(2):113–122.Crossref, Google Scholar

