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Scenario-Based Optimization of Specific Group of Public Service Systems in Health Sector

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Operations Research and Enterprise Systems (ICORES 2020, ICORES 2021)

Abstract

Service systems and their designing represent a very important field, in which the operations researchers and other specialists in optimization and Informatics find their irreplaceable application role. Situation becomes more serious in such cases, where money is not the crucial quality criterion. The family of systems studied in this paper consists of systems, in which the decisions affect human health or even life. Obviously, the key role in the decision-making process is played by the application of advanced location science. The main goal of this research paper is to provide the readers with a short spectrum of basic mathematical models and their comparison. The emphasis is put on scenario-based optimization, which takes into account different conditions in the network, through which the service is provided. Theoretical explanation of suggested methods is accompanied with the computational study performed with real-sized instances.

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References

  1. Ahmadi-Javid, A., Seyedi, P., et al.: A survey of healthcare facility location. Comput. Oper. Res. 79, 223–263 (2017). ISSN 0305-0548

    Article  MathSciNet  Google Scholar 

  2. Antunes, C.H. and Henriques, C.O.: Multi-objective optimization and multi-criteria analysis models and methods for problems in the energy sector. In: Greco, S., Ehrgott, M., Figueira, J. (eds.) Multiple Criteria Decision Analysis. International Series in Operations Research & Management Science, vol. 233, 1071–1169. Springer, New York (2016). https://doi.org/10.1007/978-1-4939-3094-4_25

  3. Avella, P., Sassano, A., Vasil’ev, I.: Computational study of large scale p-median problems. Math. Program. 109(1), 89–114 (2007)

    Article  MathSciNet  Google Scholar 

  4. Brotcorne, L., Laporte, G., Semet, F.: Ambulance location and relocation models. Eur. J. Oper. Res. 147, 451–463 (2003)

    Article  MathSciNet  Google Scholar 

  5. Church, R.L., Murray, A.: Location Covering Models: History, Applications and Advancements. Springer, Cham (2018). 271s. ISBN 978-3-319-99845-9

    Google Scholar 

  6. Correia, I., Saldanha-da-Gama, F.: Facility location under uncertainty. In: Laporte, G., Nickel, S., Saldanha da Gama, F. (eds.) Location Science, pp. 185–213. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-32177-2_8

  7. Current, J., Daskin, M., Schilling, D.: Discrete network location models. In: Drezner, Z., et al. (eds.) Facility Location. Applications and Theory, pp. 81–118. Springer, Berlin (2002). https://link.springer.com/gp/book/9783540421726

  8. Czimmermann, P., Koháni, M.: Characteristics of changes of transportation performance for pairs of critical edges. Commun. Sci. Lett. Univ. Žilina 20(3), 84–87 (2018)

    Google Scholar 

  9. Daskin, M.S., Dean, L.K.: Location of health care facilities. In: Brandeau, M.L., Sainfort, F., Pierskalla, W.P. (eds.) Operations Research and Health Care. International Series in Operations Research & Management Science, vol. 70, pp. 43–76. Springer, Boston (2005). https://doi.org/10.1007/1-4020-8066-2_3

    Chapter  Google Scholar 

  10. Daskin, M., Hogan, K., ReVelle, C.: Integration of multiple, excess, backup, and expected covering models. Environ. Plann. B. Plann. Des. 15, 15–35 (1988). https://doi.org/10.1068/b150015

    Article  Google Scholar 

  11. Doerner, K.F., et al.: Heuristic solution of an extended double-coverage ambulance location problem for Austria. Cent. Eur. J. Oper. Res. 13(4), 325–340 (2005)

    MATH  Google Scholar 

  12. García, S., Labbé, M., Marín, A.: Solving large p-median problems with a radius formulation. INFORMS J. Comput. 23(4), 546–556 (2011)

    Article  MathSciNet  Google Scholar 

  13. Gendreau, M., Potvin, J.: Handbook of Metaheuristics, 648 p. Springer, Heidelberg (2010)

    Google Scholar 

  14. Gunes, E., Melo, T., Nickel, S.: Location Problems in Healthcare, Electronic (2019). ISBN: 978-3-030-32177-2

    Google Scholar 

  15. Ingolfsson, A., Budge, S., Erkut, E.: Optimal ambulance location with random delays and travel times. Health Care Manag. Sci. 11(3), 262–274 (2008)

    Article  Google Scholar 

  16. Janáček, J.: Approximate covering models of location problems. In: Lecture Notes in Management Science: Proceedings of the 1st International Conference ICAOR, Yerevan, Armenia, pp. 53–61 (2008)

    Google Scholar 

  17. Janáček, J., Kvet, M.: Detrimental scenario construction based on network link characteristics. In: Proceedings of the 19th IEEE International Carpathian Control Conference (ICCC), Szilvásvárad, pp. 629–632 (2018)

    Google Scholar 

  18. Jánošíková, Ľ: Emergency Medical Service Planning. Commun. Sci. Lett. Univ. Žilina 9(2), 64–68 (2007)

    Google Scholar 

  19. Jánošíková, Ľ, Jankovič, P., Kvet, M., Zajacová, F.: Coverage versus response time objectives in ambulance location. Int. J. Health Geogr. 20, 1–16 (2021)

    Article  Google Scholar 

  20. Jenelius, E.: Network structure and travel patterns: explaining the geographical disparities of road network vulnerability. J. Transp. Geogr. 17, 234–244 (2009)

    Article  Google Scholar 

  21. Kvet, M.: Computational study of radial approach to public service system design with generalized utility. In: Digital Technologies 2014: Proceedings of the 10th International IEEE Conference, pp. 198–208 (2014)

    Google Scholar 

  22. Kvet, M.: Advanced radial approach to resource location problems. In: Rocha, Á., Reis, L.P. (eds.) Developments and Advances in Intelligent Systems and Applications. SCI, vol. 718, pp. 29–48. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-58965-7_3

    Chapter  Google Scholar 

  23. Kvet, M.: Robust emergency medical system design as a multi-objective goal programming problem. In: ICORES 2021: Proceedings of the 10th International Conference on Operations Research and Enterprise Systems, pp. 21–28. SCITEPRESS (2021). ISBN 978-989-758-485-5, ISSN 2184-4372

    Google Scholar 

  24. Kvet, M., Janáček, J.: Robust emergency system design using reengineering approach. In: ICORES 2020: 9th International Conference on Operations Research and Enterprise Systems, Valletta, Malta, pp. 172–178 (2020)

    Google Scholar 

  25. Kvet, M., Janáček, J., Kvet, M.: Computational study of emergency service system reengineering under generalized disutility. In: Parlier, G.H., Liberatore, F., Demange, M. (eds.) ICORES 2018. CCIS, vol. 966, pp. 198–219. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-16035-7_11

    Chapter  MATH  Google Scholar 

  26. Majer, T., Palúch, S.: Rescue system resistance to failures in transport network. In: Proceedings of 34th International Conference Mathematical Methods in Economics, pp. 518–522. Technical University of Liberec, Liberec (2016)

    Google Scholar 

  27. Marianov, V., Serra, D.: Location problems in the public sector. In: Drezner, Z. (ed.) Facility Location - Applications and Theory, pp. 119–150. Springer, Berlin (2002). https://link.springer.com/gp/book/9783540421726

  28. Rahman, S., Smith, D.: Use of location-allocation models in health service development planning in developing nations. Eur. J. Oper. Res. 123, 437–452 (2000). https://doi.org/10.1016/S0377-2217(99)00289-1

    Article  MATH  Google Scholar 

  29. Pan, Y., Du, Y., Wei, Z.: Reliable facility system design subject to edge failures. Am. J. Oper. Res. 4, 164–172 (2014)

    Google Scholar 

  30. Reuter-Oppermann, M., van den Berg, P.L., Vile, J.L.: Logistics for emergency medical service systems. Health Syst. 6(3), 187–208 (2017)

    Article  Google Scholar 

  31. Scaparra, M.P., Church, R.L.: Location problems under disaster events. In: Laporte, G., Nickel, S., da Gama, F.S. (eds.) Location Science, pp. 623–642. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-13111-5_24

    Chapter  Google Scholar 

  32. Schneeberger, K., Doerner, K.F., Kurz, A., Schilde, M.: Ambulance location and relocation models in a crisis. Cent. Eur. J. Oper. Res. 24(1), 1–27 (2014). https://doi.org/10.1007/s10100-014-0358-3

    Article  MathSciNet  MATH  Google Scholar 

  33. Snyder, L.V., Daskin, M.S.: Reliability models for facility location; The expected failure cost case. Transp. Sci. 39(3), 400–416 (2005)

    Article  Google Scholar 

  34. Sullivan, J.L., Novak, D.C., Aultman-Hall, L., Scott, D.M.: Identifying critical road segments and measuring system-wide robustness in transportation networks with isolating links: a link-based capacity-reduction problem. Transp. Res. Part A 44, 323–336 (2010)

    Google Scholar 

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Acknowledgment

This work was supported by the research grant VEGA 1/0216/21 “Design of emergency systems with conflicting criteria using artificial intelligence tools”. This work was supported also by the Slovak Research and Development Agency under the Contract no. APVV-19-0441.

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Correspondence to Marek Kvet .

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Kvet, M., Kvet, M. (2022). Scenario-Based Optimization of Specific Group of Public Service Systems in Health Sector. In: Parlier, G.H., Liberatore, F., Demange, M. (eds) Operations Research and Enterprise Systems. ICORES ICORES 2020 2021. Communications in Computer and Information Science, vol 1623. Springer, Cham. https://doi.org/10.1007/978-3-031-10725-2_7

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  • DOI: https://doi.org/10.1007/978-3-031-10725-2_7

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