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Measures of product design adaptability for changing requirements

Published online by Cambridge University Press:  30 September 2014

Serdar Uckun ,
Ryan Mackey ,
Minh Do ,
Rong Zhou ,
Eric Huang  and
Jami J. Shah
Serdar Uckun
Affiliation:
Telact, Palo Alto, California, USA
Ryan Mackey
Affiliation:
NASA Jet Propulsion Laboratories, California Institute of Technology, Pasadena, California, USA
Minh Do
Affiliation:
NASA Ames, Moffett Field, California, USA
Rong Zhou
Affiliation:
PARC, Palo Alto, California, USA
Eric Huang
Affiliation:
PARC, Palo Alto, California, USA
Jami J. Shah*
Affiliation:
Design Automation Lab, Mechanical & Aeronautical Engineering Department, Arizona State University, Tempe, Arizona, USA
*
Reprint requests to: Jami J. Shah, Design Automation Lab, Mechanical & Aeronautical Engineering Department, Arizona State University, Tempe, AZ 85287-6106, USA. E-mail: jami.shah@asu.edu
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Abstract

Adaptability can have many different definitions: reliability, robustness, survivability, and changeability (adaptability to requirements change). In this research, we focused entirely on the last type. We discuss two alternative approaches to requirements change adaptability. One is the valuation approach that is based on utility and cost of design changes in response to modified requirements. The valuation approach is theoretically sound because it is based on utility and decision theory, but it may be difficult to use in the real world. The second approach is based on examining product architecture characteristics that facilitate changes that include modularity, hierarchy, interfaces, performance sensitivity, and design margins. This approach is heuristic in nature but more practical to use. If calibrated, it could serve as a surrogate for real adaptability. These measures were incorporated in a software tool for exploring alternative configurations of fractionated space satellite systems.

Keywords

AdaptabilityChangeabilityReliabilityRobustnessSurvivability
Type
Special Issue Articles
Information
AI EDAM , Volume 28 , Issue 4: Design of Complex Engineered Systems , November 2014 , pp. 353 - 368
Copyright
Copyright © Cambridge University Press 2014 

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