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A Design Attribute Methodology for the Identification and Ranking of Functional Integration Risk
Author(s) -
Vick Jeffery D.
Publication year - 1999
Publication title -
incose international symposium
Language(s) - English
Resource type - Journals
ISSN - 2334-5837
DOI - 10.1002/j.2334-5837.1999.tb00321.x
Subject(s) - heuristics , risk analysis (engineering) , ranking (information retrieval) , identification (biology) , computer science , new product development , reliability engineering , product (mathematics) , product design , operations research , systems engineering , engineering , mathematics , machine learning , medicine , botany , geometry , marketing , business , biology , operating system
It is well known that applying validation methods during product development will reduce product functionality problems. Generally, the earlier an error is found, the less it costs to resolve it. The traditional amount of validation analysis applied during the detailed design of derivative commercial airplanes is being challenged due to market pressures to cut costs. Without sufficient validation, a significant number of functional integration problems can remain undetected until discovered late in development by flight tests or during airline operations – which translates into cost overruns. A tradeoff exists between making planned investments in validation analysis and incurring unplanned costs later. Having the ability to identify where in the design to focus design validation analyses is essential for assuring a functionally integrated product and minimizing total development costs. A design‐attribute risk assessment methodology based upon search theory, technical risk analysis concepts, and systems heuristics was developed and applied for this purpose.