A goal-programming model applied to the EMS system at Riyadh City, Saudi Arabia

An extension to models for the Maximal Covering Location Problem (MCLP) is applied to the Saudi Arabian Red Crescent Society (SARCS), Riyadh City, Saudi Arabia. The purpose is to identify the optimal locations of emergency medical service (EMS) stations. This is achieved by firstly locating these stations so the maximum expected demand may be reached within a pre-specified target time. Then, secondly, ensuring that any demand located within the target time will find at least one ambulance available. The demand rates are identified when it is necessary to add an ambulance in order to maintain the performance level for the availability of ambulances.

[1]  Mark S. Daskin,et al.  A Hierarchical Objective Set Covering Model for Emergency Medical Service Vehicle Deployment , 1981 .

[2]  S. Hakimi.  Optimum Distribution of Switching Centers in a Communication Network and Some Related Graph Theoretic Problems , 1965 .

[3]  S I Harewood,et al.  Emergency ambulance deployment in Barbados: a multi-objective approach , 2002, J. Oper. Res. Soc..

[4]  Amr K. Mortagy,et al.  A multi-objective model for locating fire stations , 1998, Eur. J. Oper. Res..

[5]  David J. Eaton,et al.  Determining Emergency Medical Service Vehicle Deployment in Austin, Texas , 1985 .

[6]  Vicki Aaronson Hutson,et al.  Maximal Direct Covering Tree Problems , 1989, Transp. Sci..

[7]  C. S. Papacostas,et al.  Transportation Engineering and Planning , 1992 .

[8]  Jeffrey Goldberg,et al.  Locating Emergency Vehicle Bases When Service Time Depends on Call Location , 1991, Transp. Sci..

[9]  Robert Dietrich,et al.  Validating and applying a model for locating emergency medical vehicles in Tuczon, AZ , 1990 .

[10]  D. Eaton,et al.  Determining Ambulance Deployment in Santo Domingo, Dominican Republic , 1986 .

[11]  Vladimir Marianov,et al.  The P-median problem in a changing network: The case of Barcelona , 1998 .

[12]  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.

[13]  Charles S. ReVelle,et al.  The Maximum Availability Location Problem , 1989, Transp. Sci..

[14]  R. Benveniste.  Solving the Combined Zoning and Location Problem for Several Emergency Units , 1985, The Journal of the Operational Research Society.

[15]  A. A. Aly,et al.  Probabilistic Formulation of the Emergency Service Location Problem , 1978, The Journal of the Operational Research Society.

[16]  Kenneth N. Groom,et al.  Planning Emergency Ambulance Services , 1977 .

[17]  James A. Fitzsimmons,et al.  A Methodology for Emergency Ambulance Deployment , 1973 .

[18]  Richard L. Church,et al.  The maximal covering location problem , 1974 .

[19]  RICHARD C. LARSON,et al.  A hypercube queuing model for facility location and redistricting in urban emergency services , 1974, Comput. Oper. Res..

[20]  Peter J. Kolesar,et al.  Determining the Relation between Fire Engine Travel Times and Travel Distances in New York City , 1975, Oper. Res..

[21]  S. L. Hakimi,et al.  Optimum Locations of Switching Centers and the Absolute Centers and Medians of a Graph , 1964 .

[22]  Zhiwei Zhu,et al.  A goal programming workload balancing optimization model for ambulance allocation: An application to Shanghai, P.R.China , 1993 .

[23]  Vladimir Marianov,et al.  Siting Emergency Services , 1995 .

[24]  Mark S. Daskin,et al.  A Maximum Expected Covering Location Model: Formulation, Properties and Heuristic Solution , 1983 .

[25]  Reinaldo Morabito,et al.  Analysing emergency medical service ambulance deployment on a Brazilian highway using the hypercube model , 2001, J. Oper. Res. Soc..

[26]  Kapil Kumar Gupta,et al.  Ambulance deployment analysis: A case study of Bangkok , 1987 .

[27]  R. Church,et al.  On deployment of health resources in rural Valle Del Cauca Colombia. , 1982 .