An assessment approach for non-governmental organizations in humanitarian relief logistics and an application in Turkey
Abstract
The ever-increasing natural disasters have been causing the loss of lives, properties and resources. By the preparedness and response ability of non-governmental organizations, it is aimed to minimize these losses. In this paper, first, the critical success factors of humanitarian relief logistics management operations are determined and categorized. Then, by considering these factors, a hybrid method that consists of trapezoidal interval type-2 fuzzy sets, AHP and TOPSIS, is proposed to evaluate emergency preparedness and response ability performance of non-governmental relief organizations. The proposed hybrid method is applied for non-governmental relief organizations in Turkey to evaluate their performance, and to the factors need to be improved for each determined organization.
First published online 11 September 2015
Keyword : non-governmental relief organizations, emergency management, multiple criteria, trapezoidal interval type-2 fuzzy sets, AHP, TOPSIS
How to Cite
Celik, E., & Taskin Gumus, A. (2018). An assessment approach for non-governmental organizations in humanitarian relief logistics and an application in Turkey. Technological and Economic Development of Economy, 24(1), 1-26. https://doi.org/10.3846/20294913.2015.1056277
This work is licensed under a Creative Commons Attribution 4.0 International License.
References
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Disparte, D. 2007. The postman’s parallel, Car Nation 2: 22–27.
Döyen, A.; Aras, N.; Barbarosoğlu, G. 2012. A two-echelon stochastic facility location model for humanitarian relief logistics, Optimization Letters 6(6): 1123–1145. http://dx.doi.org/10.1007/s11590-011-0421-0
Duran, S.; Gutierrez, M. A.; Keskinocak, P. 2011. Pre-positioning of emergency items for CARE international, Interfaces 41(3): 223–237. http://dx.doi.org/10.1287/inte.1100.0526
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Ertugrul, I.; Karakasoglu, N. 2008. Comparison of fuzzy AHP and fuzzy TOPSIS methods for facility location selection, International Journal of Advanced Manufacturing Technology 39: 783–795. http://dx.doi.org/10.1007/s00170-007-1249-8
Freund, Y. P. 1988. Critical success factors, Strategy & Leadership 16(4): 20–23. http://dx.doi.org/10.1108/eb054225
Fritz Institute. 2005. Logistics and the effective delivery of humanitarian relief. Fritz Institute, San Francisco, CA. 12 p.
Garcia-Cascales, M. S.; Lamata, M. T. 2009. Multi-criteria analysis for a maintenance management problem in an engine factory: rational choice, Journal of Intelligent Manufacturing 22(5): 779–788. http://dx.doi.org/10.1007/s10845-009-0290-x
Gumus, A. T. 2009. Evaluation of hazardous waste transportation firms by using a two step fuzzy-AHP and TOPSIS methodology, Expert Systems with Applications 36(2): 4067–4074. http://dx.doi.org/10.1016/j.eswa.2008.03.013
Gumus, A. T.; Yayla, A. Y.; Çelik, E.; Yildiz, A. 2013. A combined Fuzzy-AHP and Fuzzy-GRA methodology for hydrogen energy storage method selection in Turkey, Energies 6(6): 3017–3032. http://dx.doi.org/10.3390/en6063017
Gunasekaran, A.; Ngai, E. W. T. 2003. The successful management of a small logistics company, International Journal of Physical Distribution & Logistics Management 33(9): 825–842. http://dx.doi.org/10.1108/09600030310503352
Gunnec, D.; Salman, F. S. 2007. A two-stage multi-criteria stochastic programming model for location of emergency response and distribution centers, in Proc. of the International Network Optimization Conference (INOC), 22–25 April 2007, Spa, Belgium.
Holland, C. R.; Light, B. 1999. A critical success factors model for ERP implementation, IEEE Software 16(3): 30–36. http://doi.ieeecomputersociety.org/10.1109/52.765784
Hwang, C. L.; Yoon, K. 1981. Multiple attribute decision making-methods and applications. Heidelberg: Springer-Verlag. http://dx.doi.org/10.1007/978-3-642-48318-9
Jia, H.; Ordóñez, F.; Dessouky, M. 2007. A modeling framework for facility location of medical services for large-scale emergencies, IIE Transactions 39(1): 41–55. http://dx.doi.org/10.1080/07408170500539113
Jolai, F.; Yazdian, S. A.; Shahanaghi, K.; Azari-Khojasteh, M. 2011. Integrating fuzzy TOPSIS and multiperiod goal programming for purchasing multiple products from multiple suppliers, Journal of Purchasing & Supply Management 17: 42–53. http://dx.doi.org/10.1016/j.pursup.2010.06.004
Ju, Y.; Wang, A.; Liu, X. 2012. Evaluating emergency response capacity by fuzzy AHP and 2-tuple fuzzy linguistic approach, Expert Systems with Applications 39(8): 6972–6981. http://dx.doi.org/10.1016/j.eswa.2012.01.061
Kahraman, C.; Suder, A.; Cebi, S. 2013. Fuzzy multi-criteria and multi-experts evaluation of government investments in higher education: the case of Turkey, Technological and Economic Development of Economy 19(4): 549–569. http://dx.doi.org/10.3846/20294913.2013.837110
Kovacs, G.; Spens, K. M. 2007. Humanitarian logistics in disaster relief operations, International Journal of Physical Distribution and Logistics Management 37: 99–114. http://dx.doi.org/10.1108/09600030710734820
Lee, L. W.; Chen, S. M. 2008. Fuzzy multiple attributes group decision-making based on the extension of TOPSIS method and interval type-2 fuzzy sets, in Proc. of the 7thInternational Conference on Machine Learning and Cybernetic, 12–15 July 2008, Kumming, China, 3260–3265.
Leiras, A.; de Brito Jr, I.; Peres, E. Q.; Bertazzo, T. R.; Yoshizaki, H. T. Y. 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
Li, T.; Jin, J.; Li, C. 2012. Refractured well selection for multicriteria group decision making by integrating fuzzy AHP with fuzzy TOPSIS based on interval-typed fuzzy numbers, Journal of Applied Mathematics, 1–21. http://dx.doi.org/10.1155/2012/304287
Lu, D. K.; Pettit, S.; Beresford, A. 2006. Critical success factors for emergency relief logistics, Whampoa: An Interdisciplinary Journal 51(1): 177–184.
Mardani, A.; Jusoh, A.; Zavadskas, E. K. 2015. Fuzzy multiple criteria decision-making techniques and applications – two decades review from 1994 to 2014, Expert Systems with Applications 42(8): 4126–4148. http://dx.doi.org/10.1016/j.eswa.2015.01.003
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