Abstract:
Iyer
V. Harikumar, Tang, X. and Krishnamurty, S. “Constraint Handling and Iterative
Attribute Model Building in Decision-Based Engineering Design”, 1999 ASME
Design Technical Conferences, Las Vegas, Nevada, DETC99/DAC-8582.
This
paper deals with two major issues that are central to the development and
implementation of decision -based approaches to engineering design, namely,
the treatment of constraints and accurate preference representation. In
this paper, a decision analysis based constraint handling technique is
introduced that will be particularly useful in constrained engineering
problems with multiple Attributes. Recognizing the iterative nature of
engineering design where design alternatives may not always be known a
priori (unlike in traditional engineering design), this paper introduces
the concept of knowledge-influenced attribute model building as a means
to update preference representation for the purposes of accurately reflecting
designer’s intent and purposes throughout the evolving design process.
These two concepts are then used to extend the TRED (Trade-off based Robust
Engineering Design) framework that has been developed as a formal design
strategy through the integration of utility theory based multiattribute
models into a Taguchi philosophy based design of experiments setup. Here,
to find robust optimal solutions to constrained engineering design problems,
this paper presents the development of a second order design space reduction
technique based on response Surface Methodology (RSM). Its application
to engineering problems is illustrated through a simple case study and
the results are discussed.
Keywords:
Engineering Design, Design of Experiments, Constrained design, Expected
Utility Theory, Multiattribute Utility Function
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