SWARA METHOD FOR WEIGHTING AIRCRAFT PERFORMANCE PARAMETERS

Yıl 2023, Cilt: 64 Sayı: 712, 396 - 416, 29.09.2023

Azar Garayev , Ebru Yazgan , Elif Koruyucu

Öz

Aircraft performance is one of the most important elements of air transport, which has a great importance in the military and civil fields. Many studies are carried out to increase flight performance for each of the flight phases. There are many factors that affect flight performance. In this study, the factors affecting the aircraft performance were determined by researching and then the degree of importance of the factors was evaluated by using the SWARA (Stepwise Weight Assessment Ratio Analysis), in line with the opinions of the experts. As a result of the evaluation, the first three criteria with the highest degree of importance in weighting the aircraft performance parameters are determined as weight, construction material and temperature, respectively.

Anahtar Kelimeler

Aviation, MCDM, SWARA, aircraft performance, multi-criteria decision making

Teşekkür

Uzman ekibe yardımlarından ötürü teşekkür ederiz.

UÇAK PERFORMANS PARAMETRELERİNİN AĞIRLIKLANDIRILMASINDA SWARA METODU

Öz

Askeri ve sivil alanda çok büyük bir öneme sahip olan hava taşımacılığının en önemli unsurlarından biri uçak performansıdır. Uçuş fazlarının her biri için uçuş performansının artırılmasını sağlamak için birçok çalışma yapılmaktadır. Uçuş performansını etkileyen birçok unsur bulunmaktadır. Bu çalışmada uçak performansına etki eden faktörler araştırılarak belirlenmiş, daha sonra belirlenen bu faktörlerin uçak performansını ne derecede etkilediği uzman kişilerin görüşleri doğrultusunda, Aşamalı Ağırlık Değerlendirme Oran Analizi (SWARA Stepwise Weight Assessment Ratio Analysis) kullanılarak faktörlerin önem dereceleri değerlendirilmiştir. Yapılan değerlendirme sonucunda uçak performans parametrelerinin ağırlıklandırılmasında en yüksek önem derecesine sahip ilk üç kriter sırası ile Ağırlık, yapım malzemesi ve sıcaklık olarak belirlenmiştir.

Anahtar Kelimeler

çok kriterli karar verme, Havacılık, MCDM, SWARA, uçak performansı, çok kriterli karar verme

Kaynakça

• Abdülvahitoğlu, A., Abdülvahitoğlu, A., Kılıç, M., 2022. “Elektrikli Araç Bataryalarının Bütünleşik SWARA-TOPSIS Metodu ile Değerlendirilmesi”, Çukurova Üniversitesi, Mühendislik Fakültesi Dergisi, 37 (4), 1061-1076.
• Balki, M. K., Erdoğan, S., Aydın, S., Sayın, C., 2020. “The Optimization of Engine Operating Parameters Via SWARA and ARAS Hybrid Method in a Small SI Engine Using Alternative Fuels”, Journal of Cleaner Production, 258, 120685. https://doi.org/10.1016/j.jclepro.2020.120685.
• Bongo, M. F., Alimpangog, K. M. S., Loar, J. F., Montefalcon, J. A., Ocampo, L. A., 2018. “An Application of DEMATEL-ANP and PROMETHEE II Approach for Air Traffic Controllers’ Workload Stress Problem: A Case of Mactan Civil Aviation Authority of the Philippines”, Journal of Air Transport Management, 68, 198–213. https://doi.org/10.1016/j.jairtraman.2017.10.001
• Büyüközkan, G., Güleryüz, S., 2016. “An Integrated DEMATEL-ANP Approach for Renewable Energy Resources Selection in Turkey”, International Journal of Production Economics, 182, 435–448. https://doi.org/10.1016/j.ijpe.2016.09.015
• Cavcar, M., Cavcar, A., 2005. “Optimum Range and Endurance of a Piston Propeller Aircraft with Cambered Wing”, Journal of Aircraft, 42(1), 212–217. doi:https://doi.org/10.2514/1.6095
• Coffel, E.D., Thompson, T.R., Horton, R.M., 2017. “The impacts of rising temperatures on aircraft takeoff performance”. Climatic Change, 144, no. 2, 381-388, doi:https://doi.org/10.1007/s10584-017-2018-9
• Comer, A. M., Swartz, S., Chakraborty, I., 2020. “Data-Driven General Aviation Aircraft Performance Modeling and Safety Research”, AIAA AVIATION 2020 FORUM. doi:https://doi.org/10.2514/6.2020-3097
• Çalışkan, F., Hajiyev, C., 2013. “A review of inflight detection and identification of aircraft icing and reconfigurable control”, Progress in Aerospace Sciences, 60, 12– 34. doi:10.1016/j.paerosci.2012.11.00
• Erturk, S. A., Gomec, F. S., 2020. “The Analyses of Aircraft Performance During Takeoff and Landing with Aerodynamic Interference Effects and the 6-DOF Model”, AIAA AVIATION 2020 FORUM. doi:https://doi.org/10.2514/6.2020-2640
• Hashemkhani Zolfani, S., Yazdani, M., Zavadskas, E. K., 2018. “An extended stepwise weight assessment ratio analysis (SWARA) method for improving criteria prioritization process”, Soft Computing. doi:https://doi.org/10.1007/s00500-018-3092- 2
• Ghenai, C., Albawab, M., Bettayeb, M., 2020. “Sustainability indicators for renewable energy systems using multi-criteria decision-making model and extended SWARA/ARAS hybrid method”, Renewable Energy,146,580–597. doi:https://doi.org/10.1016/j.renene.2019.06.157
• Holloway, R. B., Burris, P. M., Johannes, R. P., 1970. “Aircraft performance benefits from modern control systems technology”, Journal of Aircraft, 7(6), 550–553. doi:https://doi.org/10.2514/3.44211
• Immer, M., Juretzko, P. G., 2018. “Advanced Aircraft Performance Analysis”, Aircraft Engineering and Aerospace Technology, 00-00. doi:https://doi.org/10.1108/AEAT-11-2016-0205
• Keršulienė, V., Turskis, Z., 2011. “Integrated fuzzy multiple criteria decision making model for architect selection”, Technological and Economic Development of Economy, 17(4), 645- 666.
• Keršuliene, V., Zavadskas, E. K., Turskis, Z., 2010. “Selection of rational dispute resolution method by applying new step‐wise weight assessment ratio analysis (SWARA)”, Journal of Business Economics and Management, 11(2), 243- 258.
• Liou, J. J.H., Tzeng, G.-H., Chang, H.-C., 2007. “Airline Safety Measurement Using a Hybrid Model”, Journal of Air Transport Management, 13 (4), 243-249. doi: https://doi.org/10.1016/j.jairtraman.2007.04.008
• Öztürk, Y. , Yazgan, E., Kılıç Delice, E., 2021. “Uçak Bakım Teknisyenleri için DEMATEL Yöntemi ile Fiziksel İş Yükü Faktörlerinin Değerlendirilmesi”, Avrupa Bilim ve Teknoloji Dergisi, Ejosat Special Issue 2021 (ICAENS), 1447-1453. doi:https://doi.org/10.31590/ejosat.1010051
• Petrović, I., Kankaraš, M., 2018. “DEMATEL-AHP Multi-Criteria Decision Making Model for The Selection and Evaluation of Criteria For Selecting An Aircraft For The Protection of Air Traffic. Decision Making”, Applications in Management and Engineering, 1(2), 93–110.
• Radović, D., Stević, Ž., 2018. “Evaluation and selection of KPI in transport using SWARA method”, Transport & Logistics: the International Journal, 2018; Vol 18, Issue 44.
• Rani, P., Mishra, A. R., Krishankumar, R., Mardani, A., Cavallaro, F., Soundarapandian Ravichandran, K., Balasubramanian, K., 2020. “Hesitant Fuzzy SWARA-Complex Proportional Assessment Approach for Sustainable Supplier Selection (HFSWARA-COPRAS)”, Symmetry, 12(7), 1152. doi:https://doi.org/10.3390/sym12071152
• Shahsavar, S.; Rad, A.J.; Afzal, P.; Nezafati, N.; Aghdam, M.A., 2019. “Prospecting for polymetallic mineralization using step‐wise weight assessment ratio analysis (SWARA) and fractal modeling in Aghkand Area”, NW Iran. Arab. J. Geosci. 2019, 12, 248.
• Stanujkic, D., Karabasevic, D., Zavadskas E. K., 2015. “A Framework for the Selection of a Packaging Design Based on the SWARA Method”, Inzinerine Ekonomika-Engineering Economics, 2015, 26(2), 181–187. doi:https://doi.org/10.13140/RG.2.1.1350.9603
• Şöhret, Y., Ekici, S., Altuntaş, Ö., Hepbasli, A., Karakoç, T. H., 2016. “Exergy as a useful tool for the performance assessment of aircraft gas turbine engines: A key review”, Progress in Aerospace Sciences, 83, 57–69. doi:https://doi.org/10.1016/j.paerosci.2016.03.00
• Tay, G., Keller, P., Hornung, M., 2018. “Development of a software tool for comprehensive flight performance and mission analysis of hybrid-electric aircraft”, Transportation Research Procedia, 29, 401-409. https://doi.org/10.1016/j.trpro.2018.02.036
• Vachon, M. J., Ray, R., Walsh, K., Ennix, K., 2002. “F/A-18 Aircraft Performance Benefits Measured During the Autonomous Formation Flight Project”, AIAA Atmospheric Flight Mechanics Conference and Exhibit. doi:https://doi.org/10.2514/6.2002-4491
• Yuan, Y., Xu, Z., Zhang, Y., 2021. “The DEMATEL–COPRAS Hybrid Method Under Probabilistic Linguistic Environment and Its Application in Third Party Logistics Provider Selection”, Fuzzy Optimization and Decision Making, 21, 137–156. doi:https://doi.org/10.1007/s10700-021-09358-9
• Wang, T.-C., Chang, T.-H., 2007. “Application of TOPSIS in Evaluating Initial Training Aircraft Under a Fuzzy Environment”, Expert Systems with Applications, 33(4), 870–880. doi:https://doi.org/10.1016/j.eswa.2006.07.003
• Whalen, E. A., Bragg, M. B., 2005. “Aircraft Characterization in Icing Using Flight Test Data”, Journal of Aircraft, 42(3), 792–794. doi:https://doi.org/10.2514/1.11198
• Zavadskas, E. K., Stevic, Z., Tanackov, I., Prentkovskis, O., 2018. “A Novel Multicriteria Approach – Rough Step-Wise Weight Assessment Ratio Analysis Method (R-SWARA) and Its Application in Logistics”, Studies in Informatics and Control 27(1):97-106. doi:https://doi.org/10.24846/v27i1y201810
• Zavadskas, E. K., Turskis, Z., 2010. “A New Additive Ratio Assessment (ARAS) Method in Multicriteria Decision-Making”, Technological and Economic Development of Economy, 16(2): 159-172.
• Zolfani, S. H., & Saparauskas, J. (2013). “New Application of SWARA Method in Prioritizing Sustainability Assessment Indicators of Energy System”, Inzinerine Ekonomika-Engineering Economics, 24(5), 408-414. doi:https://doi.org/10.5755/j01.ee.24.5.4526