AN APPLICATION of CRITIC and ROV METHODS in CHOOSING LOCATION for DISASTER LOGISTICS

Öz

Emergency management is the managerial task of establishing the framework for reducing community exposure to risks and coping with disasters. Logistics management in emergencies and disasters is challenging since it seeks to meet demand as efficiently as achievable while keeping timing constraints in mind. In this research, we first identified the most common and important factors in emergency management and location selection. Based on these factors, we set the importance weights for each criterion by using CRITIC methodology and found the most convenient places for the logistics process by using ROV method. This study helped to quantify some qualitative criteria which can be used in emergency management and evaluate them in an analytical way. As a result of the study, while the distance to transportation variable was determined as the most important factor, the A1 Alternative was chosen as the most suitable logistics locations in Turkey.

Anahtar Kelimeler

• CRITIC
• ROV
• Emergency Management
• Disaster Logistics
• Location Selection

Kaynakça

1. Abid, S. K., Sulaiman, N., Chan, S. W., Nazir, U., Abid, M., Han, H., & Vega-Muñoz, A. (2021). Toward an integrated disaster management approach: how artificial intelligence can boost disaster management. Sustainability, 13(22), 12560.
2. Ağdaş, M., Özkan, B. A. L. İ., & Balli, h. (2014). afet lojistiği kapsaminda dağitim merkezi için yer seçimi: smaa-2 tekniği ile bir uygulama. Beykoz Akademi Dergisi, 2(1), 75-94.
3. Ak, M. F., & Acar, D. (2021). Selection of humanitarian supply chain warehouse location: A case study based on the MCDM methodology. Avrupa Bilim ve Teknoloji Dergisi, (22), 400-409.
4. AlHinai, Y. S. (2020). Disaster management digitally transformed: Exploring the impact and key determinants from the UK national disaster management experience. International journal of disaster risk reduction, 51, 101851.
5. Cavdur, F., Sebatli-Saglam, A., & Kose-Kucuk, M. (2020). A spreadsheet-based decision support tool for temporary-disaster-response facilities allocation. Safety science, 124, 104581, 1-14.
6. Chakraborty, S., & Chatterjee, P. (2013). Selection of materials using multi-criteria decision-making methods with minimum data. Decision Science Letters, 2(3), 135-148.
7. Diakoulaki, D., Mavrotas, G., & Papayannakis, L. (1995). Determining objective weights in multiple criteria problems: the CRITIC method. Compu. Oper. Res. 22, 763–770.
8. Di Matteo, U., Pezzimenti, P. M., & Astiaso Garcia, D. (2016). Methodological proposal for optimal location of emergency operation centers through multi-criteria approach. Sustainability, 8(1), 50.

9. Durhan, Ç. & Çetin, O. (2022). İşletmeler Açısından Afet Lojistiği, İktisadi ve İdari Bilimlerde Teori ve Araştırmalar, 59-79.
10. Ergün, M., Korucuk, S., & Memiş, S. (2020). Sürdürülebilir afet lojistiğine yönelik ideal afet depo yeri seçimi: Giresun ili örneği. Çanakkale Onsekiz Mart Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 6(1), 144-165.
11. Ghorabaee, M. K., Amiri, M., Zavadskas, E. K., & Antucheviciene, J. (2018). A new hybrid fuzzy MCDM approach for evaluation of construction equipment with sustainability considerations, Archives of Civil and Mechanical Engineering, 18, 32-49.
12. Göncü, K. K., & Çetin, O. (2022). A decision model for supplier selection criteria in healthcare enterprises with dematel ANP method. Sustainability, 14(21), 13912.
13. Göncü, K. K., & Çetin, O. (2022). Evaluation of Location Selection Criteria for Coordination Management Centers and Logistic Support Units in Disaster Areas with Ahp Method. Prizren Social Science Journal, 6(2), 15-23.
14. Guo, Y., & Matsuda, T. (2023). Study on the multi-criteria location decision of wide-area distribution centers in pre-disaster: Case of an earthquake in the Kanto district of Japan. Asian Transport Studies, 9, 100107.
15. Hajkowicz, S., & Higgins, A. (2008). A Comparison Of Multiple Criteria Analysis Techniques For Water Resource Management. European Journal Of Operational Research, 184(1), 255-265.
16. Jahan, A., Mustapha, F., Sapuan, S. M., Ismail, M. Y., & Bahraminasab, M. (2012). A framework for weighting of criteria in ranking stage of material selection process. The International Journal of Advanced Manufacturing Technology, 58(1), 411-420.
17. Li, L.-H., & Mo, R. (2015).Production Task Queue Optimization Based on Multi-Attribute Evaluation for Complex Product Assembly Workshop. PLoS ONE, 10, e0134343.
18. Madić, M. and Radovanović, M. “Ranking of some most commonly used nontraditional machining processes using rov and critic methods.”, U.P.B. Sci. Bull., Series D, vol. 77, no. 2, 2015.
19. Madić, M., Radovanović, M., & Manić, M. (2016). Application of the ROV method for the selection of cutting fluids. Decision Science Letters, 5(2), 245-254.
20. Niroomand, S., Bazyar, A., Alborzi, M., Miami, H., & Mahmoodirad, A. (2018). A hybrid approach for multi-criteria emergency center location problem considering existing emergency centers with interval type data: a case study. Journal of Ambient Intelligence and Humanized Computing, 9(6), 1999-2008.
21. Nong, T. N. M. (2022). A hybrid model for distribution center location selection. The Asian Journal of Shipping and Logistics, 38(1), 40-49.
22. Peng, X., Zhang, X., & Luo, Z. (2020). Pythagorean fuzzy MCDM method based on CoCoSo and CRITIC with score function for 5G industry evaluation. Artif. Intell. Rev., 53, 3813-3847.
23. Peker, İ., Korucuk, S., Ulutaş, Ş., Sayın-Okatan, B., & Yaşar, F. (2016). Afet Lojistiği Kapsamında En Uygun Dağıtım Merkez Yerinin Ahs-Vikor Bütünleşik Yöntemi ile Belirlenmesi: Erzincan İli Örneği. Yönetim ve Ekonomi Araştırmaları Dergisi, 14(1), 82-103.
24. Polat, E.G. (2022). Distribution centre location selection for disaster logistics with integrated goal programming-AHP based TOPSIS method at the city level. Afet ve Risk Dergisi, 5(1), 282-296.
25. Rehman, J., Sohaib, O., Asif, M., & Pradhan, B. (2019). Applying systems thinking to flood disaster management for a sustainable development. International journal of disaster risk reduction, 36, 101101.
26. Roh, S. Y., Jang, H. M., & Han, C. H. (2013). Warehouse location decision factors in humanitarian relief logistics. The Asian Journal of Shipping and Logistics, 29(1), 103-120.
27. Sawalha, I. H. (2020). A contemporary perspective on the disaster management cycle. foresight, 22(4), 469-482.
28. Sun, W., Bocchini, P., & Davison, B. D. (2020). Applications of artificial intelligence for disaster management. Natural Hazards, 103(3), 2631-2689.