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An emergency vehicle dispatching system for an electric utility in Chile

Author

Listed:
  • A Weintraub

    (Universidad de Chile)

  • J Aboud

    (Universidad de Chile)

  • C Fernandez

    (Universidad de Chile)

  • G Laporte

    (University of Montreal)

  • E Ramirez

    (Chilectra Metropolitana)

Abstract

Chilean companies have only recently begun developing and implementing computerised systems to aid in decision making, related to the assignment and routing of vehicles. This paper presents the problem of assigning and routing repair vehicles for the Emergency Services Division of Chilectra S.A., the electricity utility for the city of Santiago, the capital of Chile. A computerised system based on heuristic algorithms was developed for vehicle routing with random demand which represent breakdowns that require a repair crew. An exponential smoothing method was implemented for the prognosis of breakdowns. Evaluation of the system's performance showed a 16% improvement in service quality as measured by the time required for servicing breakdowns under regular conditions and a 53% improvement under adverse climate conditions.

Suggested Citation

  • A Weintraub & J Aboud & C Fernandez & G Laporte & E Ramirez, 1999. "An emergency vehicle dispatching system for an electric utility in Chile," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 50(7), pages 690-696, July.
    • Handle: RePEc:pal:jorsoc:v:50:y:1999:i:7:d:10.1057_palgrave.jors.2600746
    DOI: 10.1057/palgrave.jors.2600746
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    Citations

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    Cited by:

    1. Gacitua, L. & Gallegos, P. & Henriquez-Auba, R. & Lorca, Á. & Negrete-Pincetic, M. & Olivares, D. & Valenzuela, A. & Wenzel, G., 2018. "A comprehensive review on expansion planning: Models and tools for energy policy analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 98(C), pages 346-360.
    2. Larco Martinelli, J.A. & Dekker, R. & Kaymak, U., 2007. "Distributed Services with Foreseen and Unforeseen Tasks: The Mobile Re-allocation Problem," ERIM Report Series Research in Management ERS-2007-087-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    3. Fabien Tricoire & Nathalie Bostel & Pierre Dejax & Pierre Guez, 2013. "Exact and hybrid methods for the multiperiod field service routing problem," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 21(2), pages 359-377, March.
    4. Cortés, Cristián E. & Gendreau, Michel & Rousseau, Louis Martin & Souyris, Sebastián & Weintraub, Andrés, 2014. "Branch-and-price and constraint programming for solving a real-life technician dispatching problem," European Journal of Operational Research, Elsevier, vol. 238(1), pages 300-312.
    5. Fulin Xie & Chris N. Potts & Tolga Bektaş, 2017. "Iterated local search for workforce scheduling and routing problems," Journal of Heuristics, Springer, vol. 23(6), pages 471-500, December.
    6. T Andersson & P Värbrand, 2007. "Decision support tools for ambulance dispatch and relocation," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(2), pages 195-201, February.
    7. S Lee, 2011. "The role of preparedness in ambulance dispatching," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(10), pages 1888-1897, October.
    8. Magoua, Joseph Jonathan & Li, Nan, 2023. "The human factor in the disaster resilience modeling of critical infrastructure systems," Reliability Engineering and System Safety, Elsevier, vol. 232(C).
    9. Paraskevopoulos, Dimitris C. & Laporte, Gilbert & Repoussis, Panagiotis P. & Tarantilis, Christos D., 2017. "Resource constrained routing and scheduling: Review and research prospects," European Journal of Operational Research, Elsevier, vol. 263(3), pages 737-754.
    10. 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.
    11. Marcos Singer & Patricio Donoso & Natalia Jadue, 2004. "Evaluacion De Las Oportunidades De Mejoramiento De La Logistica Directa De Emergencia," Abante, Escuela de Administracion. Pontificia Universidad Católica de Chile., vol. 7(2), pages 179-209.
    12. Seokcheon Lee, 2017. "A new preparedness policy for EMS logistics," Health Care Management Science, Springer, vol. 20(1), pages 105-114, March.
    13. Gardner, Everette Jr., 2006. "Exponential smoothing: The state of the art--Part II," International Journal of Forecasting, Elsevier, vol. 22(4), pages 637-666.
    14. Ghiani, Gianpaolo & Guerriero, Francesca & Laporte, Gilbert & Musmanno, Roberto, 2003. "Real-time vehicle routing: Solution concepts, algorithms and parallel computing strategies," European Journal of Operational Research, Elsevier, vol. 151(1), pages 1-11, November.
    15. Laura A. McLay & Maria E. Mayorga, 2013. "A Dispatching Model for Server-to-Customer Systems That Balances Efficiency and Equity," Manufacturing & Service Operations Management, INFORMS, vol. 15(2), pages 205-220, May.

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