Analyzing the Critical Factors in Aircraft Maintenance That Affect Low-Cost Airlines in Thailand

Abstract

This study offers an in-depth examination of salient factors pivotal to aircraft maintenance management. Through a rigorous statistical methodology, critical variables—namely, flexibility, cost control, and service quality and delivery—were discerned as cardinal elements in efficacious management within this domain.

The constructed model demonstrated formidable statistical validity, solidifying its utility as a potent instrument for both evaluation and strategic guidance within the aviation milieu. The relative weights ascribed to each variable shed light on their hierarchical significance, furnishing actionable insights for organizations in their quest for operational enhancement. For the rigorous scrutiny and validation of such statistical models, a repertoire of goodness-of-fit indices is paramount. To this end, the current study leveraged a myriad of indices including the Comparative Fit Index (CFI), Goodness of Fit Index (GFI), Adjusted Goodness of Fit Index (AGFI), Root Mean Square Error of Approximation (RMSEA), Normed Fit Index (NFI), Incremental Fit Index (IFI), and Root Mean Square Residual (RMR).

Nonetheless, it is prudent to recognize the potential variances in the weightages and salience of these variables across diverse organizational landscapes and contexts. This underscores the necessity for bespoke adaptations to cater to unique organizational exigencies. Cumulatively, this investigation augments the existing corpus of knowledge on aircraft maintenance management, proffering a robust quantitative scaffold for aviation entities to streamline operations, institute cost efficiencies, and uphold service excellence.