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
Emergency medical services (EMS) are among the most important services in any society due to their r...
Emergency medical services (EMS) have been of interest for operations research since the middle of t...
This paper presents a linear reliability-based model as an extension of the well-known linear locati...
An extension to models for the Maximal Covering Location Problem (MCLP) is applied to the Saudi Arab...
This paper is concerned with extending models for the Maximal Covering Location Problem in two ways....
Our study is concerned with the development of an Emergency Medical Services (EMS) ambulance locatio...
To improve the application of the maximal covering location problem (MCLP), several capacitated MCLP...
Department of Urban Planning, College of Architecture and Planning. King Saud University, Riyadh, Sa...
In the location of ambulance bases for medical assistance, an adequate time of response must be guar...
PubMedID: 20192054Emergency medical services (EMS) play a crucial role in the overall quality and pe...
The location of emergency service facilities such as ambulance and fire stations are a m...
Timeliness is one of the most important objectives that reflect the quality of emergency services su...
Emergency Medical Services (EMS) in Malaysia was categorized as underdeveloped emergency care system...
Management of smooth-functioning Emergency Medical Services (EMS) along with efficient and effective...
Providing Emergency Medical Services (EMS) is a key function of society. To achieve high quality EMS...
Emergency medical services (EMS) are among the most important services in any society due to their r...
Emergency medical services (EMS) have been of interest for operations research since the middle of t...
This paper presents a linear reliability-based model as an extension of the well-known linear locati...
An extension to models for the Maximal Covering Location Problem (MCLP) is applied to the Saudi Arab...
This paper is concerned with extending models for the Maximal Covering Location Problem in two ways....
Our study is concerned with the development of an Emergency Medical Services (EMS) ambulance locatio...
To improve the application of the maximal covering location problem (MCLP), several capacitated MCLP...
Department of Urban Planning, College of Architecture and Planning. King Saud University, Riyadh, Sa...
In the location of ambulance bases for medical assistance, an adequate time of response must be guar...
PubMedID: 20192054Emergency medical services (EMS) play a crucial role in the overall quality and pe...
The location of emergency service facilities such as ambulance and fire stations are a m...
Timeliness is one of the most important objectives that reflect the quality of emergency services su...
Emergency Medical Services (EMS) in Malaysia was categorized as underdeveloped emergency care system...
Management of smooth-functioning Emergency Medical Services (EMS) along with efficient and effective...
Providing Emergency Medical Services (EMS) is a key function of society. To achieve high quality EMS...
Emergency medical services (EMS) are among the most important services in any society due to their r...
Emergency medical services (EMS) have been of interest for operations research since the middle of t...
This paper presents a linear reliability-based model as an extension of the well-known linear locati...