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Systems Engineering Based Health Charts and Correlation Model

IP.com Disclosure Number: IPCOM000051308D
Publication Date: 2005-Feb-10
Document File: 4 page(s) / 74K

Publishing Venue

The IP.com Prior Art Database

Abstract

This model has been applied to 17 vehicle systems to improve Thing-Gone-Wrong, customer satisfaction, and warranty spending. This business model can be applied to any enterprise to link their products and/or services to customers more closely. Also, this model can be used as a planning tool to allocate limited resources to provide the strongest impact to customer expected performance.

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Systems Engineering Based Health Charts and Correlation Model

"Critical X" is an alternative term of critical engineering specification. One or a few Critical Xs are used to address a high-leverage customer concern. "Health Chart" is a collection of Critical Xs derived from principles of Systems Engineering. There are two categories of Health Charts - system level and component level. Each Critical X is rated "Green" or "Red" across all vehicle lines. Three possible types of rating mixtures could be generated for a Critical X: mix of Green & Red, all Green, or all Red. Systems Engineering Based Health Charts not only document critical engineering specifications and each vehicle program's status, but also serve as quality tools to capture value- added lessons learned and best practices.

The Health Chart Correlation Model has been developed to link our products with customers tightly, which is used to prove out the connection of Critical Xs with consumer perceived performance and uncover characteristics that are not strongly associated to expected systems performance. Our strategy is to use the current production data to drive the performance improvement of future vehicle programs.

Method

The Health Chart Correlation Model ties the critical engineering specifications of design, validation, manufacturing, assembly and suppliers, to consumer perception. It is a statistical model of driving quality improvement using market research data (Thing- Gone-Wrong & Customer Satisfaction) and warranty reports (Repair Rate). Architecture of the Health Chart Correlation Model is shown in Figure1.

ANOVA and t-test are used to assess Critical Xs with mixed Green and Red ratings, as shown in Figure 1a, because they are proven statistical methods in applications. Unique mechanisms have been developed to assess Critical Xs with all Green and all Red ratings. For "Thing-Gone-Wrong" and "Customer Satisfaction", the strategy in Figure 1b is used because internal and competitor quality data are available. For "Repair Rate", the strategy in Figure 1c is adopted because competitor data are not obtainable.

Conclusion

This correlation model gives a dynamic life to Health Charts by linking Critical Xs to consumer expectation. Unique features of this model are to:

1. Build bridge between current production programs and forward programs
2. Focus on issues of cross carlines instead of single vehicle line
3. Use statistical methods to correlate products to consumer perception
4. Use unique mechanisms to correlate all Green and all Red critical Xs to consumer expectation

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5. Secure approved critical Xs to all vehicle programs to improve quality and reduce warranty spending
6. Unco...