Ranking the Libyan airlines by using Full Consistency Method (FUCOM) and Analytical Hierarchy Process (AHP)

Abstract

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.

Making an investment decision in a transportation company using an integrated FUCOM-MABAC model

“…FUCOM metod su razvili Pamučar, Stević i Sremac [4] za određivanje težina kriterijuma. Dosad je primenjen u nekoliko studija [5][6][7][8][9][10] FUCOM daje mogućnost da se izvrši validacija modela tako što se proračunava veličina greške za dobijene vektore težina, kroz određivanje stepena konzistentnosti.…”

Determination of Key Factors Affecting Transient Seaport Selection for Landlocked Countries in African Continent

“…Additionally, the methodological procedure of FUCOM eliminates the problem of redundancy of pairwise comparisons of criteria, which exists in some subjective models for determining the weights of criteria. FUCOM has been used in many applications such as forklift selection (Fazlollahtabar et al, 2019), ranking the airlines (Badi and Abdulshahed, 2019), service quality measurments (Prentkovskis et al, 2018), occupational safety and health climate (Stefanović et al, 2019), service quality of rail transprort (Đorđević et al, 2019), and supplier selection (Durmić, 2019); (Matić et al, 2019). Assume that there are n evaluation criteria in a multi-criteria model that are designated as wj, j = 1,2, ..., n, and that their weight coefficients need to be determined.…”

Grey SWARA-FUCOM Weighting Method for Contractor Selection MCDM Problem: A Case Study of Floating Solar Panel Energy System Installation

“…Recently, the FUCOM method has been combined with other hybrid methods such as the multi attributive border approximation area comparison method [58] and multi attributive ideal-real comparative analysis [59]. The FUCOM method has been applied in different areas such as ranking of airlines [60], and the selection of forklift in a warehouse [61]. In this paper, we present a new hybrid method that combines SWARA and FUCOM with the GST.…”