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