Coverage, survivability or response time: A comparative study of performance statistics used in ambulance location models via simulation–optimization
暂无分享,去创建一个
Cem Saydam | Maria E. Mayorga | Muhammad Adeel Zaffar | Hari K. Rajagopalan | Elizabeth Sharer | C. Saydam | M. Mayorga | Elizabeth Sharer | M. Zaffar
[1] Zied Jemaï,et al. A review on simulation models applied to emergency medical service operations , 2013, Comput. Ind. Eng..
[2] D J Roe,et al. Outcomes of rapid defibrillation by security officers after cardiac arrest in casinos. , 2000, The New England journal of medicine.
[3] A. Hallstrom,et al. Predicting survival from out-of-hospital cardiac arrest: a graphic model. , 1993, Annals of emergency medicine.
[4] Gilbert Laporte,et al. Fast heuristics for large scale covering-location problems , 2002, Comput. Oper. Res..
[5] Michel Gendreau,et al. A generic and flexible simulation-based analysis tool for EMS management , 2015 .
[6] Maria E. Mayorga,et al. A Dispatching Model for Server-to-Customer Systems That Balances Efficiency and Equity , 2013, Manuf. Serv. Oper. Manag..
[7] Maria E. Mayorga,et al. Districting and dispatching policies for emergency medical service systems to improve patient survival , 2013 .
[8] Jay S. Kaufman,et al. Response time effectiveness: comparison of response time and survival in an urban emergency medical services system. , 2002 .
[9] Roberto Battiti,et al. The Reactive Tabu Search , 1994, INFORMS J. Comput..
[10] Laura A McLay,et al. Evaluating emergency medical service performance measures , 2010, Health care management science.
[11] Ilan Vertinsky,et al. Ambulance Location: A Probabilistic Enumeration Approach , 1973 .
[12] Matthew S. Maxwell,et al. Approximate Dynamic Programming for Ambulance Redeployment , 2010, INFORMS J. Comput..
[13] Michel Denuit,et al. Bounds on convex reliability functions with known first moments , 2007, Eur. J. Oper. Res..
[14] David M Williams,et al. 2009 JEMS 200-city survey. Zeroing in on what matters. , 2010, JEMS : a journal of emergency medical services.
[15] Kapil Kumar Gupta,et al. Ambulance deployment analysis: A case study of Bangkok , 1987 .
[16] Dean Uyeno,et al. A practical methodology for ambulance location , 1984 .
[17] Armann Ingolfsson,et al. A Markov Chain Model for an EMS System with Repositioning , 2013 .
[18] John J. Bernardo,et al. Developing and validating a decision support system for locating emergency medical vehicles in Louisville, Kentucky , 1994 .
[19] Cem Saydam,et al. A minimum expected response model: Formulation, heuristic solution, and application , 2009 .
[20] Cem Saydam,et al. A multiperiod set covering location model for dynamic redeployment of ambulances , 2008, Comput. Oper. Res..
[21] Mark Goh,et al. Covering problems in facility location: A review , 2012, Comput. Ind. Eng..
[22] Maria E. Mayorga,et al. Joint location and dispatching decisions for Emergency Medical Services , 2013, Comput. Ind. Eng..
[23] Gilbert Laporte,et al. Ambulance location and relocation models , 2000, Eur. J. Oper. Res..
[24] Gilbert Laporte,et al. Solving an ambulance location model by tabu search , 1997 .
[25] Hsing Kenneth Cheng,et al. A Simulation Model for the Analysis and Management of An Emergency Service System , 1997 .
[26] Andrew Mason,et al. Simulation and Real-Time Optimised Relocation for Improving Ambulance Operations , 2013 .
[27] J. Goldberg,et al. A simulation model for evaluating a set of emergency vehicle base locations: development, validation, and usage. , 1990, Socio-economic planning sciences.
[28] Maria E. Mayorga,et al. Optimal dispatching strategies for emergency vehicles to increase patient survivability , 2012 .
[29] Erhan Erkut,et al. Ambulance location for maximum survival , 2008 .
[30] Mark S. Daskin,et al. A Maximum Expected Covering Location Model: Formulation, Properties and Heuristic Solution , 1983 .
[31] Jui-Tine Lee,et al. A Simulation Of A Hospital Emergency Call System Using SLAMII , 1988, Simul..
[32] Horst A. Eiselt,et al. A bibliography for some fundamental problem categories in discrete location science , 2008, Eur. J. Oper. Res..
[33] Mateo Restrepo,et al. Erlang loss models for the static deployment of ambulances , 2009, Health care management science.
[34] Jesús T. Pastor,et al. The Ex-Post Evaluation of the Minimum Local Reliability Level: An Enhanced Probabilistic Location Set Covering Model , 2002, Ann. Oper. Res..
[35] E. S. Savas,et al. Simulation and Cost-Effectiveness Analysis of New York's Emergency Ambulance Service , 1969 .
[36] Xiaoyan Zhu,et al. Covering models and optimization techniques for emergency response facility location and planning: a review , 2011, Math. Methods Oper. Res..
[37] James A. Fitzsimmons,et al. A Methodology for Emergency Ambulance Deployment , 1973 .
[38] Charles S. ReVelle,et al. The Location of Emergency Service Facilities , 1971, Oper. Res..
[39] Michel Gendreau,et al. A dynamic model and parallel tabu search heuristic for real-time ambulance relocation , 2001, Parallel Comput..
[40] Geoffrey N. Berlin,et al. Mathematical analysis of emergency ambulance location , 1974 .
[41] Cem Saydam,et al. Developing effective meta-heuristics for a probabilistic location model via experimental design , 2007, Eur. J. Oper. Res..
[42] Maria E. Mayorga,et al. Priority dispatching strategies for EMS systems , 2014, J. Oper. Res. Soc..
[43] Reinaldo Morabito,et al. Towards unified formulations and extensions of two classical probabilistic location models , 2005, Comput. Oper. Res..
[44] Vincent A. Knight,et al. Ambulance allocation for maximal survival with heterogeneous outcome measures , 2012 .
[45] Sungjune Park,et al. EMS call volume predictions: A comparative study , 2009, Comput. Oper. Res..