Decision-making in preliminary engineering design

S. P. Joshi, J. R. Umaretiya, Sanjay B. Joshi

Research output: Contribution to journalArticle

13 Citations (Scopus)

Abstract

A designer often has to deal with complex and ill-structured situations during specification synthesis and preliminary engineering design. To assist in the development of computer-aided design systems, it is desirable to capture the designers decision-making process during these design states. The research presented in this paper is towards this direction. Based on the conceptual understanding of the process, three postulates are presented. The following two postulates; (1) the decisions are neither optimum nor just satisfying but retain certain characteristics of both, (2) the design is driven by the important objective(s) among all the specified objectives, at the preliminary design, although the remaining objectives do have a weak influence on the preliminary design; are used to develop a compensatory and a non-compensatory model of the decision-making. These models are formulated with the help of fuzzy set theory and they implicitly or explicitly follow the two postulates. These models are suitable for discrete decision situations where the above mentioned postulates apply. Examples of material selection during a preliminary structural design are used to illustrate the effectiveness of these models.

Original languageEnglish (US)
Pages (from-to)21-30
Number of pages10
JournalArtificial Intelligence for Engineering, Design, Analysis and Manufacturing
Volume5
Issue number1
DOIs
StatePublished - Jan 1 1991

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Decision making
Fuzzy set theory
Structural design
Computer aided design
Specifications

All Science Journal Classification (ASJC) codes

  • Industrial and Manufacturing Engineering
  • Artificial Intelligence

Cite this

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Decision-making in preliminary engineering design. / Joshi, S. P.; Umaretiya, J. R.; Joshi, Sanjay B.

In: Artificial Intelligence for Engineering, Design, Analysis and Manufacturing, Vol. 5, No. 1, 01.01.1991, p. 21-30.

Research output: Contribution to journalArticle

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