Descriptive and inferential attribute data analysis of aircraft structural joins as a model for improving quality on mature production programs

The project demonstrates how attribute data analysis can be utilized for improving quality on a mature production program. The analysis focuses on improving the fit condition of fuselage structural joins of twinjet commercial aircraft. This is accomplished through quality assessment observations made by mechanics who assemble the aircraft. Once a database is established and populated, descriptive and inferential analysis is performed. The descriptive analysis identifies the largest quality improvement opportunities. The inferential analysis determines the extent and nature of the quality problems through hypothesis testing, experimentation, and assessment of capability.;As a result of the project, quality improvements are made on production processes. The attribute data methodology utilized on this project can be leveraged to other existing production programs. Recommendations for future activities include use of key characteristics with engineering definition, expansion of cross-functional teams, and establishment of an integrated quality improvement system with internal and external suppliers.