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The Siting of Emergency Service Facilities with Workload Capacities and Backup Service

Author

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  • Hasan Pirkul

    (Faculty of Accounting and MIS, Ohio State University, Columbus, Ohio 43210)

  • David A. Schilling

    (Faculty of Management Sciences, Ohio State University, Columbus, Ohio 43210)

Abstract

By the very nature of the demand that they serve, emergency service systems require that timely service be readily available to those who need it. Yet, the distinct possibility exists that the closest facility will be occupied with another call for service, and when this primary responding unit is busy, a secondary or backup facility must be assigned. The need for backup service is most prevalent in heavily used systems, which are also prone to facility workloads that can be excessive if uncontrolled. The effective design of these systems should address the siting of both the primary responding facility and a designated backup unit, as well as reasonable workload limits on these facilities. In this paper, a model formulation for emergency service systems is presented where facility workload is controlled and backup service for some or all demand points is provided. The model is sufficiently general to allow it to be adapted to several problem settings and decision criteria. An effective solution procedure was developed using a Lagrangean relaxation of the original model formulation. Results of extensive computational experiments testing this solution procedure are discussed. Finally, a large-scale example using real world data was solved and a summary of results is presented to demonstrate the applicability of the model and the solution procedure.

Suggested Citation

  • Hasan Pirkul & David A. Schilling, 1988. "The Siting of Emergency Service Facilities with Workload Capacities and Backup Service," Management Science, INFORMS, vol. 34(7), pages 896-908, July.
  • Handle: RePEc:inm:ormnsc:v:34:y:1988:i:7:p:896-908
    DOI: 10.1287/mnsc.34.7.896
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    Cited by:

    1. Amiri, Ali, 2001. "The multi-hour service system design problem," European Journal of Operational Research, Elsevier, vol. 128(3), pages 625-638, February.
    2. Saligrama R. Agnihothri & Sridhar Narasimhan & Hasan Pirkul, 1990. "An assignment problem with queueing time cost," Naval Research Logistics (NRL), John Wiley & Sons, vol. 37(2), pages 231-244, April.
    3. Dirk Degel & Lara Wiesche & Sebastian Rachuba & Brigitte Werners, 2015. "Time-dependent ambulance allocation considering data-driven empirically required coverage," Health Care Management Science, Springer, vol. 18(4), pages 444-458, December.
    4. Amiri, Ali, 1998. "The design of service systems with queueing time cost, workload capacities and backup service," European Journal of Operational Research, Elsevier, vol. 104(1), pages 201-217, January.
    5. Amin Akbari & Ronald Pelot & H. A. Eiselt, 2018. "A modular capacitated multi-objective model for locating maritime search and rescue vessels," Annals of Operations Research, Springer, vol. 267(1), pages 3-28, August.
    6. Fetter, Gary & Rakes, Terry, 2012. "Incorporating recycling into post-disaster debris disposal," Socio-Economic Planning Sciences, Elsevier, vol. 46(1), pages 14-22.
    7. P. Daniel Wright & Matthew J. Liberatore & Robert L. Nydick, 2006. "A Survey of Operations Research Models and Applications in Homeland Security," Interfaces, INFORMS, vol. 36(6), pages 514-529, December.
    8. Michael K. Lim & Achal Bassamboo & Sunil Chopra & Mark S. Daskin, 2013. "Facility Location Decisions with Random Disruptions and Imperfect Estimation," Manufacturing & Service Operations Management, INFORMS, vol. 15(2), pages 239-249, May.
    9. Thomas E. Lambert & Peter B. Meyer, 2006. "Ex-Urban Sprawl as a Factor in Traffic Fatalities and EMS Response Times in the Southeastern United States," Journal of Economic Issues, Taylor & Francis Journals, vol. 40(4), pages 941-953, December.
    10. Sunarin Chanta & Maria Mayorga & Laura McLay, 2014. "Improving emergency service in rural areas: a bi-objective covering location model for EMS systems," Annals of Operations Research, Springer, vol. 221(1), pages 133-159, October.
    11. Brian T. Downs & Jeffrey D. Camm, 1996. "An exact algorithm for the maximal covering problem," Naval Research Logistics (NRL), John Wiley & Sons, vol. 43(3), pages 435-461, April.
    12. Boffey, Brian & Galvao, Roberto & Espejo, Luis, 2007. "A review of congestion models in the location of facilities with immobile servers," European Journal of Operational Research, Elsevier, vol. 178(3), pages 643-662, May.
    13. Lambert, Thomas & Meyer, Peter, 2008. "New and fringe residential development and emergency medical services response times in the United States," MPRA Paper 38891, University Library of Munich, Germany.
    14. Mateo Carlos Galindo-Pérez & Manuel Suárez & Ana Rosa Rosales-Tapia & José Sifuentes-Osornio & Ofelia Angulo-Guerrero & Héctor Benítez-Pérez & Guillermo de Anda-Jauregui & Juan Luis Díaz-de-León-Santi, 2022. "Territorial Strategy of Medical Units for Addressing the First Wave of the COVID-19 Pandemic in the Metropolitan Area of Mexico City: Analysis of Mobility, Accessibility and Marginalization," IJERPH, MDPI, vol. 19(2), pages 1-23, January.
    15. Karatas, Mumtaz & Yakıcı, Ertan, 2019. "An analysis of p-median location problem: Effects of backup service level and demand assignment policy," European Journal of Operational Research, Elsevier, vol. 272(1), pages 207-218.
    16. P J Densham & G Rushton, 1996. "Providing Spatial Decision Support for Rural Public Service Facilities That Require a Minimum Workload," Environment and Planning B, , vol. 23(5), pages 553-574, October.
    17. Kevin Curtin & Karen Hayslett-McCall & Fang Qiu, 2010. "Determining Optimal Police Patrol Areas with Maximal Covering and Backup Covering Location Models," Networks and Spatial Economics, Springer, vol. 10(1), pages 125-145, March.
    18. Pal, Raktim & Bose, Indranil, 2009. "An optimization based approach for deployment of roadway incident response vehicles with reliability constraints," European Journal of Operational Research, Elsevier, vol. 198(2), pages 452-463, October.
    19. Hasan Pirkul & David A. Schilling, 1998. "An Efficient Procedure for Designing Single Allocation Hub and Spoke Systems," Management Science, INFORMS, vol. 44(12-Part-2), pages 235-242, December.
    20. Ahmadi-Javid, Amir & Hoseinpour, Pooya, 2019. "Service system design for managing interruption risks: A backup-service risk-mitigation strategy," European Journal of Operational Research, Elsevier, vol. 274(2), pages 417-431.
    21. Shariat-Mohaymany, Afshin & Babaei, Mohsen & Moadi, Saeed & Amiripour, Sayyed Mahdi, 2012. "Linear upper-bound unavailability set covering models for locating ambulances: Application to Tehran rural roads," European Journal of Operational Research, Elsevier, vol. 221(1), pages 263-272.
    22. Sardar Ansari & Laura Albert McLay & Maria E. Mayorga, 2017. "A Maximum Expected Covering Problem for District Design," Transportation Science, INFORMS, vol. 51(1), pages 376-390, February.
    23. Badri, Masood A. & Mortagy, Amr K. & Alsayed, Colonel Ali, 1998. "A multi-objective model for locating fire stations," European Journal of Operational Research, Elsevier, vol. 110(2), pages 243-260, October.

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