Multi-Objective Optimization Applied for Planning of Regional European Airlin

• Autorzy: Majka A.
• Języki publikacji: EN

Abstrakty

EN

Fleet planning is very important elements in the airlines planning process. Fleet planning should answer the question which types of aircraft are required and how many of them are required taking into account the current and future transportation needs. Decision-making in the field of operations has a character of engineering. This process requires consideration of many factors, dependencies and criteria. The article presents the decision problem formulated in the form of a multi-objective mathematical model. This work preliminarily determines the structure of the transportation system which performs carriages on the local routes.

Słowa kluczowe

EN

regional air transport; aircraft fleet planning; multiple objective optimization

PL

transport lotniczy; regionalny transport lotniczy; planowanie; optymalizacja

• Wydawca: Warsaw University of Technology, Faculty of Transport
• Czasopismo: Archives of Transport
• Rocznik: 2014
• Tom: Vol. 29, iss. 1
• Strony: 37--46
• Opis fizyczny: Bibliogr. 32 poz., rys., tab.

Twórcy

autor

Majka A.

• Rzeszów University of Technology, Department of Aircrafts and Aircraft Engines, Rzeszów, Poland

Bibliografia

• [1] Anderson J. D. Jr, Aircraft performance and design, McGraw-Hill. Int. Editions, 1999.
• [2] Arora J. S., Marler R. T., Survey of multi-objective optimization methods for engineering structural and multidisciplinary optimization. Volume 26, Issue 6, pp 369-395, Springer, 2004.
• [3] Badjagin A. A., Eger S. M., Miszin W. F., Skljanskij F I., Fomin N. A., Aircraft design, Maszinostrojenie, Moscow, 1972 (in Russian).
• [4] Brusów W., Optymalne projektowanie wielozadaniowych statków latających, Instytut Lotnictwa, Warszawa 1996 (in Polish).
• [5] Brusów W., Klepacki Z., Majka A., Airports and facilities Database, EPATS technical report. Project no: ASA6-CT- 2006-044549, 2007.
• [6] Clark P., Buying the big jets, Ashgate Publishing Ltd., England 2007.
• [7] Deb K., Multi-objective optimization using evolutionary algorithms, Wiley, USA, 2001.
• [8] EASA: Certification specifications for normal, utility, aerobatic, and commuter category aeroplanes CS-23. Decision No 2010/008/R of the Executive Director of the EASA (2010).
• [9] ESPON, http://www.espon.eu (December 2011).
• [10] EUROCONTROL, A place to stand: airports in the European air network. Trends in air traffic, Volume 3, May 2006.
• [11] EUROCONTROL, Flight movements 2011 - 2017, Medium-term forecast, October 2011.
• [12] Filippone A., Flight performance of fixed and rotary wing aircraft, ELSEVIER, USA, 2006.
• [13] Fonseca C.M., Fleming P. J., Genetic algorithms for multi-objective optimization: formulation, discussion and generalization, 5th International Conference on Genetic Algorithms, USA, Morgan Kaufmann Publishers Inc, 1993.
• [14] Freitas Gomes J.H., Salgado A.R., Paiva A.P., Ferreira J.R., Costa S.C., Balestrassi P.P., Global criterion method based on principal components to the optimization of manufacturing processes with multiple responses. Journal of Mechanical Engineering 58, pp. 345-353, 2012.
• [15] Główny Urząd Statystyczny, Rocznik statystyczny województw, Zakład Wydawnictw Statystycznych, Warszawa, 2013 (in Polish).
• [16] Grzybowski A.Z., Goal programming approach for deriving priority vectors - some new ideas. Prace Naukowe Instytutu Matematyki i Informatyki Politechniki Częstochowskiej, ISSN 1731-5417, Vol. 9. nr 1, pp. 17-27, 2010.
• [17] Gudmundsson S., General aviation aircraft design: applied methods and procedures, Elsevier, Oxford, October 2013.
• [18] Isard W., Methods of regional analysis: an introduction to regional science. The MIT Press, Cambridge, Massachusetts, 1962.
• [19] Jane's: All the World’s Aircraft 2010-2011. Janes Information Group, May, 2010.
• [20] Kadadevarama R. S., Mohanasudaram K. M., Multi-objective trade-off analysis: state of art: methods, applications, and future research directions in production and operations management. Manufacturing and Industrial Engineering, Issue 2, year VI, pp.70-78, 2007.
• [21] Majka A., The conceptual design study of a patrol and search and rescue wing-in- ground effect craft, AIAA Proceedings, 2013, Chapter DOI: 10.2514/6.2013-22, 2013.
• [22] Majka A., The problem of choice of light passenger seaplane used for short-haul flights, 38th International Scientific Congress on Powertrain and Transport Means European KONES, 9-12 September, 2012.
• [23] Montano A.A., Coello C.A., Mezura-Montes E., Evolutionary algorithms applied to multi-objective aerodynamic shape optimization, In Sławomir Kozieł and Xin-She Yang (editors), Computational Optimization, Methods and Algorithms, Springer, Studies in Computational Intelligence Vol. 356, pages: 211-240, 2011.
• [24] NASA, http://www.nasa.gov, (May, 2014).
• [25] Quevcdo J., Prats X., Nejjari F., Puig V., Aircraft annoyance minimization around urban airports based on fuzzy logic, E- prints UPC -Universität Politécnica de Catalunya, Open Educational Resources (OER) Portal at http://www.temoa.info/node/131426, 2007.
• [26] Raymer D. P., Aircraft design: a conceptual approach. Fifth Edition, AIAA Education Series. Reston, Virginia, 2012.
• [27] Rohacs, J., PATS, Personal air transportation system, ICAS Congress, Toronto, 2002,
• [28] Roskam, J., Airplane design. Part V: component weight estimation, DARcorporation, Ottawa, Kansas 1985.
• [29] Roskam, J., Airplane design. Part VI: preliminary calculation of aerodynamic, thrust and power characteristics, DARcorporation, Ottawa, Kansas 1987.
• [30] Roskam. J., Airplane design. Part VIII: airplane cost estimation: design, development, manufacturing and operating, DARcorporation, Ottawa, Kansas 1990.
• [31] Torenbeek E., Synthesis of subsonic airplane design. Delft University Press, Rotterdam, 1976.
• [32] Yoshimura M., Sasaki K., Izui K., Nishiwaki S., Hierarchical multiobjective optimization methods for deeper understanding of design solutions and breakthrough for optimum design solutions, 6th World Congress on Structural and Multidisciplinary Optimization, Rio de Janeiro, 2005.