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An advanced decision support system for European disaster management: the feature of the skills taxonomy

Author

Listed:
  • Marion S. Rauner

    (University of Vienna)

  • Helmut Niessner

    (University of Vienna)

  • Steen Odd

    (Lund University)

  • Andrew Pope

    (University College Cork)

  • Karen Neville

    (University College Cork)

  • Sheila O’Riordan

    (University College Cork)

  • Lisa Sasse

    (University of Vienna)

  • Kristina Tomic

    (University of Vienna)

Abstract

Mankind has faced a huge increase in severe natural and man-made disasters worldwide in the last few years. Emergency responders on a strategic, tactical, and operational level can be assisted by decision support systems (DSS) to enhance disaster preparedness, response, and recovery. Policy makers are in need of an advanced, resilient and integrated incident command and control systems for emergency responders that incorporates health care-related features. To address this need, a DSS was developed in the European Union (EU) project named Securing Health.Emergency.Learning.Planning (S-HELP). Improving the health care delivery process through health care-related DSS features, the identification of key emergency responders and their associated tasks performed in preparedness, response, and recovery-related interventions is absolutely necessary. Thus, we establish a skills taxonomy for the S-HELP DSS Toolset “Decision Making Module” to interlink key emergency interventions/tasks with main national emergency responders supported by international emergency responders with a special focus on the EU. Furthermore, we provide an overview of which key emergency interventions/tasks can be covered by EU Civil Protection Modules by incorporating availability, start of operation, self-sufficiency, and operation time. This skills taxonomy for the S-HELP DSS Toolset “Decision Making Module” improves the interoperability of emergency responders when they cope with major disasters such as mass flooding, chemical spills, and biological-hazards policy scenarios that impact on health care. In the future, operation research models related to fields such as humanitarian logistics or disease control could be incorporated into or benefit from the S-HELP DSS.

Suggested Citation

  • Marion S. Rauner & Helmut Niessner & Steen Odd & Andrew Pope & Karen Neville & Sheila O’Riordan & Lisa Sasse & Kristina Tomic, 2018. "An advanced decision support system for European disaster management: the feature of the skills taxonomy," 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. 26(2), pages 485-530, June.
  • Handle: RePEc:spr:cejnor:v:26:y:2018:i:2:d:10.1007_s10100-018-0528-9
    DOI: 10.1007/s10100-018-0528-9
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    1. Herbert Dawid & Karl F. Doerner & Gustav Feichtinger & Peter M. Kort & Andrea Seidl (ed.), 2016. "Dynamic Perspectives on Managerial Decision Making," Dynamic Modeling and Econometrics in Economics and Finance, Springer, number 978-3-319-39120-5, March.
    2. Christian Burkart & Pamela C. Nolz & Walter J. Gutjahr, 2017. "Modelling beneficiaries’ choice in disaster relief logistics," Annals of Operations Research, Springer, vol. 256(1), pages 41-61, September.
    3. Karl Schneeberger & Karl Doerner & Andrea Kurz & Michael Schilde, 2016. "Ambulance location and relocation models in a crisis," 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. 24(1), pages 1-27, March.
    4. Sushil Gupta & Martin K. Starr & Reza Zanjirani Farahani & Niki Matinrad, 2016. "Disaster Management from a POM Perspective: Mapping a New Domain," Production and Operations Management, Production and Operations Management Society, vol. 25(10), pages 1611-1637, October.
    5. Nitesh Bharosa & JinKyu Lee & Marijn Janssen, 2010. "Challenges and obstacles in sharing and coordinating information during multi-agency disaster response: Propositions from field exercises," Information Systems Frontiers, Springer, vol. 12(1), pages 49-65, March.
    6. Gutjahr, Walter J. & Nolz, Pamela C., 2016. "Multicriteria optimization in humanitarian aid," European Journal of Operational Research, Elsevier, vol. 252(2), pages 351-366.
    7. Siti Nuryanah & Sardar M. N. Islam, 2015. "The Context of the Case Study," Palgrave Macmillan Books, in: Corporate Governance and Financial Management, chapter 5, pages 145-156, Palgrave Macmillan.
    8. Dean, Matthew D. & Nair, Suresh K., 2014. "Mass-casualty triage: Distribution of victims to multiple hospitals using the SAVE model," European Journal of Operational Research, Elsevier, vol. 238(1), pages 363-373.
    9. Gutjahr, Walter J. & Dzubur, Nada, 2016. "Bi-objective bilevel optimization of distribution center locations considering user equilibria," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 85(C), pages 1-22.
    10. L N Van Wassenhove, 2006. "Humanitarian aid logistics: supply chain management in high gear," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 57(5), pages 475-489, May.
    11. Altay, Nezih & Green III, Walter G., 2006. "OR/MS research in disaster operations management," European Journal of Operational Research, Elsevier, vol. 175(1), pages 475-493, November.
    12. Sung, Inkyung & Lee, Taesik, 2016. "Optimal allocation of emergency medical resources in a mass casualty incident: Patient prioritization by column generation," European Journal of Operational Research, Elsevier, vol. 252(2), pages 623-634.
    13. Caunhye, Aakil M. & Nie, Xiaofeng & Pokharel, Shaligram, 2012. "Optimization models in emergency logistics: A literature review," Socio-Economic Planning Sciences, Elsevier, vol. 46(1), pages 4-13.
    14. Mahdi Moeini & Zied Jemai & Evren Sahin, 2015. "Location and relocation problems in the context of the emergency medical service systems: a case study," 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. 23(3), pages 641-658, September.
    15. Roberto Aringhieri, 2009. "Composing medical crews with equity and efficiency," 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. 17(3), pages 343-357, September.
    16. Galindo, Gina & Batta, Rajan, 2013. "Review of recent developments in OR/MS research in disaster operations management," European Journal of Operational Research, Elsevier, vol. 230(2), pages 201-211.
    17. Mahdi Moeini & Zied Jemai & Evren Sahin, 2015. "Location and Relocation Problems in the Context of the Emergency Medical Service Systems: A Case Study," Post-Print hal-01736738, HAL.
    18. Marion Rauner & Helmut Niessner & Lisa Sasse & Kristina Tomic & Karen Neville & Andrew Pope & Sheila O’Riordan, 2016. "Decision Support for Strategic Disaster Management: First Release of a Wiki," Dynamic Modeling and Econometrics in Economics and Finance, in: Herbert Dawid & Karl F. Doerner & Gustav Feichtinger & Peter M. Kort & Andrea Seidl (ed.), Dynamic Perspectives on Managerial Decision Making, pages 413-439, Springer.
    19. Mills, Alex F., 2016. "A simple yet effective decision support policy for mass-casualty triage," European Journal of Operational Research, Elsevier, vol. 253(3), pages 734-745.
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    1. Tomasz Ewertowski & Buse Çisil Güldoğuş & Semih Kuter & Süreyya Akyüz & Gerhard-Wilhelm Weber & Joanna Sadłowska-Wrzesińska & Elżbieta Racek, 2024. "The use of machine learning techniques for assessing the potential of organizational resilience," 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. 32(3), pages 685-710, September.
    2. Brielle Lillywhite & Gregor Wolbring, 2022. "Emergency and Disaster Management, Preparedness, and Planning (EDMPP) and the ‘Social’: A Scoping Review," Sustainability, MDPI, vol. 14(20), pages 1-50, October.
    3. Immanuel Bomze & Karl F. Dörner & Richard F. Hartl & Ulrike Leopold-Wildburger & Georg Pflug & Marion Rauner & Christian Stummer & Gernot Tragler & Tina Wakolbinger, 2018. "Emerging and innovative OR applications: a special issue in honor of Walter J. Gutjahr," 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. 26(2), pages 259-263, June.
    4. Doris A. Behrens & Marion S. Rauner & Margit Sommersguter-Reichmann, 2022. "Why Resilience in Health Care Systems is More than Coping with Disasters: Implications for Health Care Policy," Schmalenbach Journal of Business Research, Springer, vol. 74(4), pages 465-495, December.

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