An object-oriented modeling framework for representing uncertainty in early variant design

Rose Crossland, Jon H Sims Williams, Chris A. McMahon*

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

20 Citations (Scopus)

Abstract

This article presents a framework for the representation of uncertainty in the early design of complex adaptive products such as automobiles. The core of the framework is an object-oriented approach in which design objects and their inter-relationships maybe modeled, and in which both the design attributes and the product structure may be uncertain. Relationship objects allow product variants and design alternatives to be represented. In addition to the design model, derivation methods for design attributes maybe modeled, and methods maybe incorporated to allow the deterministic or probabilistic computation of attributes. The modeling framework is the basis of a risk modeling tool, RiTo, in which Monte Carlo simulation is used to compute estimates for costs and other design attributes together with their probability of achievement in the final design. Uncertainties maybe aggregated and levels of uncertainty in different parts of the model maybe continually analysed and assessed. The framework also provides a mechanism for accumulating product knowledge, in particular knowledge concerning relationships between elements of part and assembly models, product volumes and manufacturing considerations.

Original languageEnglish
Pages (from-to)173-183
Number of pages11
JournalResearch in Engineering Design
Volume14
Issue number3
DOIs
Publication statusPublished - 1 Nov 2003

Keywords

  • Monte Carlo simulation
  • Object modeling
  • Risk in design
  • Uncertainty in design
  • Variant design

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