Robustness Development and Reliability Growth: Value-Adding Strategies for New Products and Processes by King John P

Author:King, John P....
Language: eng
Format: epub
Published: 2014-03-29T03:39:36.939000+00:00

Populate the Design Matrix

At each level in a decomposition process, the axiomatic design methods recommend analyzing the design matrix that relates the relevant functional requirements to the design parameters. The analysis of the matrix is critical to developing and selecting the best design concepts for the application. With this visible mapping, development teams have the ability to see the effects of changing one design parameter on all of the dependent functional requirements.

To build a complete matrix of the dependencies, the team should evaluate each FR-DP intersection to determine when varying the particular solution DP would have a significant impact on the FR in question. This impact, or dependency, should be performance-specific, considering the actual operation of the system, and be independent of the relationships with other DPs. Dependency relationships that may exist in another context, such as manufacturing, can be ignored. The X placed in the cells represents a significant “nonzero” coefficient for the relationship between each FR and the DP chosen to satisfy that FR. This relationship must exist for the functional requirement to be satisfied.

How might a design matrix appear for an actual concept? There are three fundamental patterns to recognize, illustrated in Figure 12.5.

Figure 12.5 Analysis of design matrices can reveal complicating dependencies.

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