Abstract
Modern flight test tends to be a complex, expensive undertaking, so any increases in efficiency would result in considerable savings. Lean thinking is an effective method to identify value and eliminate waste and is particularly effective when applied to the entire flight test enterprise. Design of experiments is a statistical methodology that results in highly efficient flight test where only the samples needed are collected and analyzed. the application of design of experiments to flight test's value stream can result in a significant increase in lean value to the stakeholders and a reduction of waste. Design of experiments uses objective, verifiable statistical analysis to plan, execute, and analyze test. with lean stakeholder input, design of experiment's planning process ensures that the variables of interest are measured to provide a specified confidence in the analysis. Statistical confidence provides critical information on both the magnitude and significance of system performance. Further, design of experiments provides a statistical power that tells the stakeholders what magnitude of the effect could have been detected. Another benefit is that system response models are continually generated as test matrices are executed. These models enable the stakeholders to understand and evaluate system performance. This increases test safety and flexibility, which also creates value and eliminates waste in a resource-limited experiment. a conceptual model is developed which shows how the design of experiments aligns the flight test process along the lean value delivery stream and identifies the stakeholders at each step. © 2008 Wiley Periodicals Inc. Syst Eng 12: 201-217, 2009.
Recommended Citation
A. A. Tucker and C. H. Dagli, "Design of Experiments as a Means of Lean Value Delivery to the Flight Test Enterprise," Systems Engineering, vol. 12, no. 3, pp. 201 - 217, Wiley, Sep 2009.
The definitive version is available at https://doi.org/10.1002/sys.20119
Department(s)
Engineering Management and Systems Engineering
Publication Status
Free Access
Keywords and Phrases
ANOVA; Case study; Design of experiments (DOE)l flight test; F-16; Lean; Statistics
International Standard Serial Number (ISSN)
1520-6858; 1098-1241
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 Wiley, All rights reserved.
Publication Date
01 Sep 2009
