## 6 AOG Downtime Reduction and Implementation Results
### Survey Observations and Results  
For this study, the authors identified the research question by conducting a structured survey through Google Form. The survey participants were from airline logistics, supply chain, and engineering departments. The goal was to identify key issues in spare parts management, troubleshooting processes, and maintenance practice delays resulting in longer AOG events. To gather data for the research, a probability sampling method was used. The questionnaire was prepared and organized in the following format:  
* Usage of open-ended and closed-ended questions where the participant must select an answer from a set of possibilities offered by the interviewer. * Likert Scale questions:  
Figure 6: Frequency of AOG events by cause. The questionnaire consisted of 14 questions. The main objective was to investigate and categorize the challenges the airline's engineering department faced. Once identified, these challenges were ranked based on their impact on performance monitoring. The analysis was carried out using a database with Microsoft Excel representations. To provide an overview of the demographics, the authors categorized respondents by their position, department, and availability. The chart (Figure 7) depicts all participating departments included in the survey. The survey results reveal varying satisfaction levels with the spare parts inventory system across departments. The highest participation came from Technical Records (20%), followed by Supply Chain and Maintenance Control Center (MCC), at 16.7%. Departments like Planning and System contributed 10% each, while AOG Desk, Line Maintenance, and Avionics accounted for 6.7% each. The lowest participation came from power plants and structures, at 3.3% each. A histogram (Figure 8) was generated to assess the system's effectiveness, categorized into four rating ranges. The lowest range (1.0-1.9) revealed significant dissatisfaction, particularly from MCC and the AOG Desk, with 50% each rating the system as ineffective in meeting operational needs. The 2.0-2.9 range showed moderate ratings, with MCC (37.5%) and smaller contributions from Technical Records, Line Maintenance, Planning, System, and AOG Desk (12.5% each), indicating partial adequacy but persistent challenges. Most responses fell in the 3.0-3.9 range, where Technical Records (25%) and Supply Chain (18.8%) led. This suggests that some departments find the system moderately effective, although inconsistencies remain. Lower participation from Power Plants and Structures (6.2% each) indicates varied performance. The highest range (4.0-4.5) showed Supply Chain (50%) and Technical Records (25%) reporting strong satisfaction, reflecting the system's effectiveness for inventory logistics teams. While the spare parts inventory system performs well for logistics-focused departments, key operational areas like MCC and the AOG Desk report significant shortcomings. This highlights the need for targeted improvements to address critical gaps, enhance reliability, and meet operational demands across all departments. The survey results (Figure 9) reveal varying satisfaction levels with SmartLynx's spare parts inventory system, a long-standing challenge contributing to Aircraft On-Ground (AOG) events and operational delays. In the lowest range (1.0-1.9), labeled \"Never\", departments like the Maintenance Control Center (MCC) and AOG Desk reported significant dissatisfaction, highlighting the system's inability to meet critical needs. In the 2.0-2.9  
Figure 7: Respondents by occupation. range, labeled \"Rarely\", MCC again flagged ongoing challenges, with slight improvements noted by other departments. Most responses fell into the 3.0-3.9 range, labeled \"Sometimes\", where Technical Records and Supply Chain departments indicated moderate satisfaction, though system inconsistencies persist. In the 4.0-5.0 range, labeled \"Often\" or \"Always\", Supply Chain reported intense satisfaction, reflecting its relative success in managing logistics.