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The Team/Fleet Models for Simultaneous Facility and Equipment Siting

Author

Listed:
  • David Schilling

    (Ohio State University, Columbus, Ohio)

  • D. Jack Elzinga

    (The Johns Hopkins University, Baltimore, Maryland)

  • Jared Cohon

    (The Johns Hopkins University, Baltimore, Maryland)

  • Richard Church

    (University of Tennessee, Knoxville, Tennesse)

  • Charles ReVelle

    (The Johns Hopkins University, Baltimore, Maryland)

Abstract

A number of new location models which utilize the notion of coverage were developed, tested and utilized in a study of the Baltimore City Fire Protection System. These models extend the location decision to include not only specification of the sites of the basic facilities but also the distribution of specialized equipment and/or manpower among those sites. They are seen as more realistic representations of the location decisions which are required in public sector applications.

Suggested Citation

  • David Schilling & D. Jack Elzinga & Jared Cohon & Richard Church & Charles ReVelle, 1979. "The Team/Fleet Models for Simultaneous Facility and Equipment Siting," Transportation Science, INFORMS, vol. 13(2), pages 163-175, May.
    • Handle: RePEc:inm:ortrsc:v:13:y:1979:i:2:p:163-175
    DOI: 10.1287/trsc.13.2.163
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    Citations

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    Cited by:

    1. Wang, Wei & Wang, Shuaian & Zhen, Lu & Qu, Xiaobo, 2022. "EMS location-allocation problem under uncertainties," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 168(C).
    2. Yoon, Soovin & Albert, Laura A., 2020. "A dynamic ambulance routing model with multiple response," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 133(C).
    3. M Gendreau & G Laporte & F Semet, 2006. "The maximal expected coverage relocation problem for emergency vehicles," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 57(1), pages 22-28, January.
    4. Soo-Haeng Cho & Hoon Jang & Taesik Lee & John Turner, 2014. "Simultaneous Location of Trauma Centers and Helicopters for Emergency Medical Service Planning," Operations Research, INFORMS, vol. 62(4), pages 751-771, August.
    5. Wang, Wei & Wu, Shining & Wang, Shuaian & Zhen, Lu & Qu, Xiaobo, 2021. "Emergency facility location problems in logistics: Status and perspectives," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 154(C).
    6. Bélanger, V. & Ruiz, A. & Soriano, P., 2019. "Recent optimization models and trends in location, relocation, and dispatching of emergency medical vehicles," European Journal of Operational Research, Elsevier, vol. 272(1), pages 1-23.
    7. Pludow, B. Amelia & Murray, Alan T. & Church, Richard L., 2022. "Service quality modeling to support optimizing facility location in a microscale environment," Socio-Economic Planning Sciences, Elsevier, vol. 82(PB).
    8. Sorensen, Paul & Church, Richard, 2010. "Integrating expected coverage and local reliability for emergency medical services location problems," Socio-Economic Planning Sciences, Elsevier, vol. 44(1), pages 8-18, March.
    9. Leknes, Håkon & Aartun, Eirik Skorge & Andersson, Henrik & Christiansen, Marielle & Granberg, Tobias Andersson, 2017. "Strategic ambulance location for heterogeneous regions," European Journal of Operational Research, Elsevier, vol. 260(1), pages 122-133.
    10. Ibrahim Çapar & Sharif H Melouk & Burcu B Keskin, 2017. "Alternative metrics to measure EMS system performance," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(7), pages 792-808, July.
    11. Coutinho-Rodrigues, João & Tralhão, Lino & Alçada-Almeida, Luís, 2012. "Solving a location-routing problem with a multiobjective approach: the design of urban evacuation plans," Journal of Transport Geography, Elsevier, vol. 22(C), pages 206-218.

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