CTMA Project #: 140898
Problem: Determining the quality of the IMC maintenance process is difficult using current analysis methods, systems, and tools. The data to support this analysis exists in many disparate data sources and exceeds the current size limitations of the tools available to NAVAIR. The data systems used to collect the maintenance feedback require manual entries and are inconsistent in providing relevant feedback.
Benefit: By developing a reliable method of maintenance data collection and interpretation, U.S. industries could readjust their maintenance schedules and inventory, making them leaner, more efficient, and competitive. Equipment that is properly maintained, will last longer, be safer, and cost the company less in replacement and insurance costs. A company that puts an emphasis on proper equipment maintenance, will develop a good reputation with customers around the country and the globe, positively impacting its, and the U.S.’s competitive place in the market.
Solution/Approach: The initial phase will leverage and integrate available data from the NAVAIR maintenance system. SAS will conduct a historical analysis on the combined data set to provide NAVAIR with a complete population analysis that identifies BUNO history and maintenance variation from scheduled metrics. By building descriptive statistics on this historical data, SAS will be able to develop baselines of maintenance quality.
Impact on Warfighter:
- Improved readiness
- Reduced maintenance costs
- Efficiencies within the O-I-D maintenance levels
DOD Participation:
- U.S. Navy Naval Air Systems Command (NAVAIR)
Industry Participation:
- SAS
- NCMS
Benefit Area(s):
- Cost savings
- Repair turn-around time
- Maintenance management improvement
Focus Area:
- Business processes/partnerships
