Quality - Access to Success | 2026
Authors: Zaki F.Z.; Touaiher I.; Taibi S.
DOI: 10.47750/QAS/27.211.41
Journal: Quality - Access to Success
Year: 2026
Publisher: SRAC - Romanian Society for Quality
Document Type: Article
Open Access: All Open Access; Gold Open Access
Cited by: 0
This study evaluates the capability of an airline’s maintenance process using a data-driven quality management approach and recommends actions to improve performance. Operational data were extracted from the airline’s Computerized Maintenance Management System (CMMS) and analyzed with Minitab software. In this mixed method study the Six Sigma methodology was adopted, aiming at continuous process improvement and defect reduction. The data were collected using the tools such as brainstorming sessions and the Ishikawa (cause-and-effect) diagram were employed to identify and classify potential root causes of inefficiencies. The obtained qualitative and quantitative data were analysed via five classical phases (DMAIC): Define, Measure, Analyze, Improve, and Control. During the Define and Measure phases, problem identification and process mapping. The findings indicate that the maintenance process is statistically capable and delivers strong performance outcomes. Process capability indices (e.g., Cp) were calculated, and normality was confirmed as the p-value was below 0.05, rejecting the null hypothesis of non-normality. Following targeted improvements, the Cp index showed a significant increase, confirming the enhancement of process capability under stable distribution conditions. Beyond presenting an applied case study in the airline industry, this research provides insights into the integration of data analytics and quality methodologies to support operational excellence. It establishes a methodological reference for airlines seeking to strengthen and sustain their maintenance practices. © 2026, SRAC-Romanian Society for Quality. All rights reserved.
airline maintenance; process capability; Six Sigma; TQM