Implementing a mathematical model for locating EMS vehicles in fayetteville, NC

Tavakoli, Asad; Lightner, Constance A.

doi:10.1016/s0305-0548(03)00108-4

Cited by 24 publications

(7 citation statements)

References 8 publications

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“…In addition, Daskin [7]M.S(1983) put forward the MEXCLP and raise a MEXLP model based on MCLP Model. Similar studies are conducted by Tavakoli [8], Schilling [9] (1979), Bianchia [10](1988) Akella [11] (2005) and so on. When the emergency request cannot receive the quick response due to the constantly busy of service facilities, such case is defined as MALP and regarded as uncertainty MCLP by some papers.…”

supporting

confidence: 69%

A weighted grey target theory-based strategy model for emergency facility location

Dejian

Zhou

2009

2009 IEEE International Conference on Grey Systems and Intelligent Services (GSIS 2009)

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Timeliness is one of the most important objectives that reflect the quality of emergency rescue. To provide timeliness, the most obvious way is to increase the number of service facility available. Unfortunately, increasing the number of facility is generally impossible due to capital constraints. In such a case, the strategy for emergency facility location becomes a crucial issue. This artic discusses the facility location strategy in emergency management Combining subjective judgment and objective analysis, and proposes a emergency system location model based on weighted grey target strategy theory. Finally, an application example verifies the validity of the method as a effective one to solve the emergency facility location issue.

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supporting

confidence: 69%

A weighted grey target theory-based strategy model for emergency facility location

Dejian

Zhou

2009

2009 IEEE International Conference on Grey Systems and Intelligent Services (GSIS 2009)

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“…The FLEET model has been effectively applied to locate fire stations and allocate equipment. With some modifications, Tavakoli and Lightner (2004) applied Bianchi and Church's (1988) multiple coverage, one-unit FLEET model (MOFLEET) to Cumberland County, North Carolina's emergency medical services (EMS) system. Current and O'Kelly (1992) applied covering models to locate emergency warning sirens in a midwestern city.…”

Section: Location and Resource Allocationmentioning

confidence: 99%

A Survey of Operations Research Models and Applications in Homeland Security

2006

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Operations research has had a long and distinguished history of work in emergency preparedness and response, airline security, transportation of hazardous materials, and threat and vulnerability analysis. Since the attacks of September 11, 2001 and the formation of the US Department of Homeland Security, these topics have been gathered under the broad umbrella of homeland security. In addition, other areas of OR applications in homeland security are evolving, such as border and port security, cyber security, and critical infrastructure protection. The opportunities for operations researchers to contribute to homeland security remain numerous.

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“…Rajagopalan et al () examined the dynamic relocation /redeployment of ambulances in response to fluctuating demands to determine the minimum number of ambulances and their locations. Tavakoli and Lightner () proposed a mathematical modelling approach for locating/allocating emergency vehicles and facilities to increase the number of response calls within the 8‐min national average. Erkut et al .…”

Section: Operations Research Applications In Different Service Industmentioning

confidence: 99%

Operations Research (OR) in Service Industries: A Comprehensive Review

Xing

et al. 2013

Syst. Res.

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The share of gross domestic product from the service industry reflects the competitiveness of a nation; the service industry in the USA accounts for around 80% of its gross domestic product, and it has been increasing gradually. Continual innovations and advances in enabling technologies for the service industry are crucial for developed countries to sustain their leading positions in the globalized economy. To clarify future research directions of operations research (OR) in the service industry, the state of art of OR has been examined systematically, the new requirements of OR are identified for its applications in service industries in comparison with those in manufacturing industries, and the limitations of existing methodologies and tools have been discussed. This paper was intended to provide an updated review on how OR has been applied in the service sector in recent years and what directions the study of OR will be carried forward in the near future. Under a proposed research framework, recent OR-related articles were collected from 17 leading OR journals and classified into the five most active sectors, that is, transportation and warehousing, information and communication, human health and social assistance, retails and wholesales, and financial and insurance services. The conclusions on the limitations of existing studies and the demanding ORs in the service have been drawn from our summaries and observations from a comprehensive review in this field.

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Implementing a mathematical model for locating EMS vehicles in fayetteville, NC

Cited by 24 publications

References 8 publications

A weighted grey target theory-based strategy model for emergency facility location

A weighted grey target theory-based strategy model for emergency facility location

A Survey of Operations Research Models and Applications in Homeland Security

Operations Research (OR) in Service Industries: A Comprehensive Review

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