Bir İletişim Uydu Operatörünün Fırlatma Aracı Seçim Problemi İçin Kesin ve Bulanık VZA Yaklaşımlarının Karşılaştırılması

Uzay endüstrisinde, bir uydu için fırlatma aracı seçimi kritik bir idari ve teknik karar verme problemidir. Seçilen fırlatma aracına bağlı olarak fırlatma maliyeti, milyon dolarlık bir uydunun toplam maliyetinin yüzde 20'si ila 50'si arasında değişebilir. Bu çalışmanın amacı, istenilen yörüngeye bir yere eş zamanlı iletişim uydusunu fırlatmak için kullanılan fırlatma aracı alternatiflerini, Çok Kriterli Karar Verme (ÇKKV) yöntemleri kullanarak analiz etmektir. Bu amaçla, kesin ve bulanık Veri Zarflama Analizi (VZA) yönteminin versiyonları ÇKKV yöntemi olarak kullanılmıştır. Fırlatma aracı seçeneklerinin değerlendirilmesi için sektör uzmanları tarafından oluşturulan kriterler hiyerarşisi kullanılmıştır. Kesin ve bulanık VZA yöntemlerinin çıktıları kıyaslanmıştır. Kıyaslama sonucunda VZA versiyonlarının, seçenekleri farklı sıraladıkları ama Seçenek 1'in genellikle sıralamanın ilk sırasında yer aldığı gözlenmiştir

Comparing Crisp and Fuzzy DEA Approaches for The Launch Vehicle Selection Problem of A Communication Satellite Operator

In space industry, launch vehicle selection for a satellite is a critical managerial and technical decision making problem. Depending on the selected launch vehicle, launch cost can vary from 20 % to 50 % of the total cost of a communication satellite that cost million dollars. The aim of this paper is to analyze several launch vehicle alternatives to boost a geostationary communication satellite into desired orbit under a Multi Criteria Decision Making (MCDM) scheme. For this purpose, variants of crisp and fuzzy Data Envelopment Analysis are utilized as a MCDM tool. In order to evaluate launch vehicle alternatives a criteria hierarchy, which is established by the experts working in communication sector, is used. The outcomes of the crisp and fuzzy DEA methods are compared with each other. As a result of the comparison it is observed that DEA variants ranked the alternatives differently but the launch vehicle Alternative 1 is mostly ranked first

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[1] Agarwal P, Sahai M, Mishra V, Bag M, Singh V. "A review of multi-criteria decision making techniques for supplier evaluation and selection". International Journal of Industrial Engineering Computations, 2, 801–810, 2011.
[2] Chai J, Liu JN, Ngai EW. "Application of decision-making techniques in supplier selection: A systematic review of literature". Expert Systems with Applications 40, 3872–3885, 2013.
[3] Hatami-Marbini A, Emrouznejad A, Tavana M. "A Taxonomy and Review of the Fuzzy Data Envelopment Analysis Literature: Two Decades in the Making". European Journal of Operational Research 214, 457-472, 2011.
[4] Frank MV. "Choosing among safety improvement strategies: a discussion with example of risk assessment and multi-criteria decision approaches for NASA". Reliability Engineering & System Safety, 311-324, 1995.
[5] Tavana M. "A subjective assessment of alternative mission architectures for the human exploration of Mars at NASA using multicriteria decision making". Computers & Operations Research, 1147- 1164, 2004.
[6] Kahriman A, Öztokatlı M, Daş GS. "Selection of a communication satellite manufacturer using MCDM methods". In Recent Advances in Space Technologies (RAST), 2015 7th International Conference, 347-351, 2015.
[7] Charnes A, Cooper W, Rhodes E. "Measuring the efficiency of decision-making units". European Journal of Operational Research, 2, 429–444, 1978.
[8] Sherman HD, Zhu J. Service Productivity Management: Improving Service Performance using Data Envelopment Analysis (DEA). Springer US, 2006.
[9] Banker R, Charnes A, Cooper W. "Some models for estimating technical and scale inefficiency in data envelopment analysis". Management Science, 1078–1092, 1984.
[10] Yılmaz B, Yurdusev MA. "Use Of Data Envelopment Analysis As A Multi Criteria Decision Tool – A Case Of Irrigation Management". Mathematical and Computational Applications, Vol. 16, No. 3, 669-679, 2011.
[11] Moheb-Alizadeh, H., Rasouli, S., & Tavakkoli-Moghaddam, R. (2011). The use of multi-criteria data envelopment analysis (MCDEA) for location–allocation problems in a fuzzy environment. Expert Systems with Applications, 5687-5695
[12] Adler N, Friedman L, Sinuany-Stern Z. "Review of ranking methods in the data envelopment analysis context". European Journal of Operational Research 140, 249–265, 2002.
[13] Yang JL, Chiu HN, Tzeng G-H, Yeh RH. "Vendor selection by integrated fuzzy MCDM techniques with independent and interdependent relationships". Information Sciences, 4166–4183, 2008.
[14] Zadeh L. "Fuzzy sets". Information and Control, 338-353, 1965).
[15] Lertworasirikula S, Fanga S-C, Joines JA, Nuttle HL. "Fuzzy data envelopment analysis (DEA): A possibility approach". Fuzzy Sets and Systems, 379–394, 2003.
[16] Angiz MZ, Emrouznejad A, Mustafa A. "Fuzzy data envelopment analysis: A discrete approach". Expert Systems with Applications, 2263–2269, 2012.
[17] Lertworasirikul S, Fang S, Nuttle H, Joines J. "Fuzzy data envelopment analysis". Proceedings of the 9th Bellman Continuum, 342, Beijing, 2002.
[18] Prakash T. Land Suitability Analysis for Agricultural Crops: A Fuzzy Multicriteria Decision Making Approach. Masters Thesis, Netherlands: ITC Institue, 2003.
[19] Hsu TH, Nian SH. "Interactive fuzzy decision aided systems-a case on public transportation system operations". Journal of Transportation Taiwan, 10(4), 76-96, 1997.
[20] Liou T-S, Wang M-JJ. "Ranking fuzzy numbers with integral value". Fuzzy Sets and Systems, 247- 255, 1992.
[21] Federal Aviation Agency-FAA. "2013 Commercial Space Transportation Report". Washington, DC, USA, 2013.
[22] Saaty TL. "Decision making with the analytic hierarchy process". Int. J. Services Sciences, 83-98, 2008.