Production
https://prod.org.br/article/doi/10.1590/0103-6513.20180007
Production
Research Article

A review of required features for a disaster response system on top of a multi-criteria decision: a Brazilian perspective

Eckhardt, Daniel; Leiras, Adriana

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Abstract

Abstract: Paper aims: The purpose of this paper is to analyze the current Brazilian Integrated Disaster Information System (S2iD), designed to qualify and give transparency to the disaster management in Brazil.

Originality: Providing an analysis of the system features and its prioritization, this paper can also serve as a reference for implementing software for disaster response.

Research method: To enable the S2iD evaluation, the research considers a triangulation method that includes literature review, disaster response tool assessment and a multi-criteria decision model based on interviews with specialists.

Main findings: The study could define and prioritize the most critical functionalities for a disaster response system. On top of it, four new features (Information Security, Multiuser, Donor Evaluation, History Database) not previously documented in the literature were defined as necessary to a disaster management system.

Implications for theory and practice: The detailed findings indicate ways of improvement for the S2iD.

Keywords

Humanitarian logistics, Disaster response, Software system, Multi-criteria decision-making, S2iD

References

Akter, S., & Wamba, S. F. (2017). Big data and disaster management: a systematic review and agenda for future research. Annals of Operations Research. In press. http://dx.doi.org/10.1007/s10479-017-2584-2.

Altay, N., & Green III, W. (2006). OR/MS research in disaster operations management. European Journal of Operational Research, 175(1), 475-493. http://dx.doi.org/10.1016/j.ejor.2005.05.016.

Balcik, B., Beamon, B. M., & Smilowitz, K. (2008). Last Mile distribution in humanitarian relief. Journal of Intelligent Transport Systems, 12(2), 51-63. http://dx.doi.org/10.1080/15472450802023329.

Balcik, B., Beamon, B. M., Krejci, C. C., Muramatsu, K. M., & Ramirez, M. (2010). Coordination in humanitarian relief chains: practices, challenges, and opportunities. International Journal of Production Economics, 126(1), 22-34. http://dx.doi.org/10.1016/j.ijpe.2009.09.008.

Blecken, A. (2010). Humanitarian logistics: modeling supply chain processes of humanitarian organizations (Kuehne Foundation Book Series on Logistics, Vol. 18). Berne: Haupt-Verlag.

Blecken, A., & Hellingrath, B. (2008). Supply chain management software for humanitarian operations: review and assessment of current tools. In Proceedings of the 5th International ISCRAM Conference. Washington: ISCRAM. Retrieved in 2017, August 21, from http://www.iscram.org/legacy/dmdocuments/ISCRAM2008/papers/ISCRAM2008_Blecken_etal.pdf

Brasil, Ministério da Integração Nacional, Secretaria Nacional de Defesa Civil, Centro Nacional de Gerenciamento de Riscos e Desastres. (2014). Anuário Brasileiro de Desastres Naturais 2013. Brasília: CENAD.

Brasil, Ministério da Integração Nacional. (2017). Sistema Integrado de Informações sobre Desastres - S2ID. Brasília. Retrieved in 2017, August 21, from http://www.mi.gov.br/defesa-civil/s2id

Careem, M., Silva, C., Silva, R., Raschid, L., & Weerawarana, S. (2006). Sahana: overview of a disaster management system. In Proceedings of the International Conference on Information and Automation. Colombo: ICINFA. http://dx.doi.org/10.1109/ICINFA.2006.374152

Cozzolino, A. (2012). Humanitarian logistics: cross-sector cooperation in disaster relief management. Berlin: Springer-Verlag. http://dx.doi.org/10.1007/978-3-642-30186-5

Deng, Q., Liu, Y., Zhang, H., Deng, S., & Ma, Y. (2016). A new crowdsourcing model to assess disaster using microblog data in typhoon Haiyan. Natural Hazards, 84(2), 1241-1256. http://dx.doi.org/10.1007/s11069-016-2484-9.

Eckhardt, D., & Leiras, A. (2015). A disaster management framework based on the overview of the existent tools on top of a multi-criteria decision. In Proceedings of the 26th Annual POMS Conference. Washington: Production and Operations Management Society.

Fontainha, T. C., Leiras, A., Bandeira, R. A. M., & Scavarda, L. F. R. R. (2017). Public-private-people relationship stakeholder model for disaster and humanitarian operations. International Journal of Disaster Risk Reduction, 22, 371-386. http://dx.doi.org/10.1016/j.ijdrr.2017.02.004.

Galindo, G., & Batta, R. (2013). Review of recent developments in OR/MS research in disaster operations management. European Journal of Operational Research, 230(2), 201-211. http://dx.doi.org/10.1016/j.ejor.2013.01.039.

Guha-Sapir, D., Hoyois, P. H., & Below, R. (2017). Annual disaster statistical review 2016: the numbers and trends. Brussels: Centre for Research on Epidemiology of Disasters.

Holguín-Veras, J., Jaller, B., Van Wassenhove, L. N., Perez, N., & Wachtendorf, T. (2012). On the unique features of post-disaster humanitarian logistics. Journal of Operations Management, 30(7-8), 494-506. http://dx.doi.org/10.1016/j.jom.2012.08.003.

International Federation of Red Cross and Red Crescent Societies. (2018). Humanitarian logistics. Geneva: IFRC. Retrieved in 2018, March 1, from http://www.ifrc.org/en/what-we-do/logistics/

Islam, S. M. T., & Chik, Z. (2011). Disaster in Bangladesh and management with advanced information system. Disaster Prevention and Management: An International Journal , 20(5), 521-530. http://dx.doi.org/10.1108/09653561111178952.

Jahre, M., & Jensen, L. M. (2010). Coordination in humanitarian logistics through clusters. International Journal of Physical Distribution & Logistics Management , 40(8/9), 657-674. http://dx.doi.org/10.1108/09600031011079319.

Laakso, K., & Palomäki, J. (2013). The importance of a common understanding in emergency management. Technological Forecasting & Social Change Journal , 80(9), 1703-1713. http://dx.doi.org/10.1016/j.techfore.2012.12.012.

Leiras, A., Brito Junior, I., Queiroz Peres, E., Rejane Bertazzo, T., & Tsugunobu Yoshida Yoshizaki, H. (2014). Literature review of humanitarian logistics research: trends and challenges. Journal of Humanitarian Logistics and Supply Chain Management , 4(1), 95-130. http://dx.doi.org/10.1108/JHLSCM-04-2012-0008.

Pettit, S. J., & Beresford, A. (2009). Critical success factors in the context of humanitarian aid supply chains. International Journal of Physical Distribution & Logistics Management, 39(6), 450-468. http://dx.doi.org/10.1108/09600030910985811.

Saaty, T. L. (1990). How to make a decision: the analytic hierarchy process. European Journal of Operational Research, 48(1), 9-26. http://dx.doi.org/10.1016/0377-2217(90)90057-I.

Shafiq, B., Ae Chun, S., Atluri, V., Vaidya, J., & Nabi, G. (2012). Resource sharing using UICDSTM framework for incident management. Transforming Government: People, Process and Policy, 6(1), 41-61. http://dx.doi.org/10.1108/17506161211214813.

Tomasini, R. M., & Van Wassenhove, L. N. (2009). From preparedness to partnerships: case study research on humanitarian logistics. International Transactions in Operational Research, 16(5), 549-559. http://dx.doi.org/10.1111/j.1475-3995.2009.00697.x.

Troy, D. A., Carson, A., Vanderbeek, J., & Hutton, A. (2008). Enhancing community-based disaster preparedness with information technology. Disasters, 32(1), 149-165. http://dx.doi.org/10.1111/j.1467-7717.2007.01032.x. PMid:18217923.

Van Wassenhove, L. N. (2006). Blackett Memorial Lecture, humanitarian aid logistics: supply chain management in high gear. The Journal of the Operational Research Society , 57(5), 475-489. http://dx.doi.org/10.1057/palgrave.jors.2602125.
 

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