Ranking the Libyan airlines by using full consistency method (FUCOM) and analytical hierarchy process (AHP)
DOI:
https://doi.org/10.31181/oresta1901001bKeywords:
Libyan airlines, AHP, FUCOM, MCDMAbstract
Performance measurement and evaluation of the airlines are a key point for improving their performance. This evaluation can help achieving the airline targets. The aim of this paper is to evaluate and compare the performance of four Libyan airlines by considering five main areas of performance; the airline reliability, employees, management, customer's satisfaction and tangibles. In this work, a hybrid method which combined the Full Consistency Method (FUCOM) and Analytical Hierarchy Process (AHP) in one system has been used to assess the four Libyan airlines. In the AHP method, the number of the required pairwise comparisons are increases dramatically with the number of the elements to be compared. The more the comparisons are the higher is the likelihood that the decision maker will introduce erroneous data. In this regard, the problem has been solved by means of using integer, decimal values from the predefined scale for the pairwise comparison of the criteria. The results show that the reliability is the most important performance area followed by satisfaction. Among the four investigated airlines, Libyan Wings were ranked first with a total 0.392 score.
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References
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Zietsman, D. & Vanderschuren, M. (2014). Analytic Hierarchy Process assessment for potential multi-airport systems–The case of Cape Town. Journal of Air Transport Management, 36, 41-49.
Barros, C. P. & Wanke, P. (2015). An analysis of African airlines efficiency with two-stage TOPSIS and neural networks. Journal of Air Transport Management, 44, 90-102.
Chen, Y.-H., Tseng, M.-L. & Lin, R.-J. (2011). Evaluating the customer perceptions on in-flight service quality. African Journal of Business Management, 5, 2854-2864.
Eshtaiwi, M., Badi, I., Abdulshahed, A. & Erkan, T. E. (2018). Determination of key performance indicators for measuring airport success: A case study in Libya. Journal of Air Transport Management, 68, 28-34.
Eshtaiwi, M. I., Badi, I. A., Abdulshahed, A. M. & Erkan, T. E. (2017). Assessment of airport performance using the grey theory method: A case study in Libya. Grey Systems: Theory and Application, 7, 426-436.
Karaman, A. S. & Akman, E. (2018). Taking-off corporate social responsibility programs: An AHP application in airline industry. Journal of Air Transport Management, 68, 187-197.
Liu, F., Aiwu, G., Lukovac, V. & Vukic, M. (2018). A multicriteria model for the selection of the transport service provider: A single valued neutrosophic DEMATEL multicriteria model. Decision Making: Applications in Management and Engineering, 1, 121-130.
Maertens, S., Grimme, W. & Jung, M. (2014). An economic–geographic assessment of the potential for a new air transport hub in post-Gaddafi Libya. Journal of Transport Geography, 38, 1-12.
Mahtani, U. S. & Garg, C. P. (2018). An analysis of key factors of financial distress in airline companies in India using fuzzy AHP framework. Transportation Research Part A: Policy and Practice, 117, 87-102.
Mardani, A., Zavadskas, E. K., Khalifah, Z., Jusoh, A. & Nor, K. M. (2016). Multiple criteria decision-making techniques in transportation systems: a systematic review of the state of the art literature. Transport, 31, 359-385.
Milosavljević, M., Bursać, M., Tričković, G. (2018). Selection of the railroad container terminal in Serbia based on multi criteria decision-making methods. Decis. Mak. Appl. Manag. Eng, 1.
Njoya, E. T. (2016). Africa’s single aviation market: The progress so far. Journal of Transport Geography, 50, 4-11.
Pamučar, D., Badi, I., Korica. S., & Obradović, R. (2018a). A Novel Approach for the Selection of Power-Generation Technology Using a Linguistic Neutrosophic CODAS Method: A Case Study in Libya. Energies, 11, 2489.
Pamučar, D. & Ćirović, G. (2015). The selection of transport and handling resources in logistics centers using Multi-Attributive Border Approximation area Comparison (MABAC). Expert Systems with Applications, 42, 3016-3028.
Pamučar, D., Stević, Ž. & Sremac, S. (2018b). A New Model for Determining Weight Coefficients of Criteria in MCDM Models: Full Consistency Method (FUCOM). Symmetry, 10, 393.
Perçin, S. (2018). Evaluating airline service quality using a combined fuzzy decision-making approach. Journal of Air Transport Management, 68, 48-60.
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, 93-110.
Saaty, T. L. (1980). The Analytic Hierarchy Process, New York: McGrew Hill. International, Translated to Russian, Portuguesses and Chinese, Revised edition, Paperback (1996, 2000), Pittsburgh: RWS Publications.
Saaty, T. L. (1990). How to make a decision: the analytic hierarchy process. European journal of operational research, 48, 9-26.
Tsafarakis, S., Kokotas, T. & Pantouvakis, A. (2018). A multiple criteria approach for airline passenger satisfaction measurement and service quality improvement. Journal of Air Transport Management, 68, 61-75.
Vesković, S., Stević, Ž., Stojić, G., Vasiljević, M. & Milinković, S. (2018). Evaluation of the railway management model by using a new integrated model DELPHI-SWARA-MABAC. Decision Making: Applications in Management and Engineering, 1, 34-50.
Zietsman, D. & Vanderschuren, M. (2014). Analytic Hierarchy Process assessment for potential multi-airport systems–The case of Cape Town. Journal of Air Transport Management, 36, 41-49.
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Published
2019-03-03
How to Cite
Badi, I., & Abdulshahed, A. (2019). Ranking the Libyan airlines by using full consistency method (FUCOM) and analytical hierarchy process (AHP). Operational Research in Engineering Sciences: Theory and Applications, 2(1), 1–14. https://doi.org/10.31181/oresta1901001b
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