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Study of information axiom in evaluation method of product design scheme

  • Northwestern Polytechnical University Xian

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

The keys of product development are how to distinguish the optimal designs from the bad designs at the early design stage and how to reduce the iterative error rate. Hence the evaluation method for product design schemes is important for decision making in the design process. Using the information axiom of axiomatic design, this paper combines analytic hierarchy process with fuzzy evaluation. Taking Haier U-home products as an example, this paper makes up the evaluation index of products by product's four elements, and also concludes the index information calculation formula based on information axiom. It comprehensive considerate the weight of various indexes and supply gives the calculation formulae of information content of evaluation indexes and the evaluation and decision making method for design schemes. So that it can provide a scientific decision basis and get a good foundation for the automation process of product design.

Original languageEnglish
Title of host publication9th International Conference on Computer-Aided Industrial Design and Conceptual Design
Subtitle of host publicationMulticultural Creation and Design -CAIDCD 2008
Pages327-331
Number of pages5
DOIs
StatePublished - 2008
Event9th International Conference on Computer-Aided Industrial Design and Conceptual Design: Multicultural Creation and Design -CAIDCD 2008 - Kunming, China
Duration: 22 Nov 200825 Nov 2008

Publication series

Name9th International Conference on Computer-Aided Industrial Design and Conceptual Design: Multicultural Creation and Design - CAIDCD 2008

Conference

Conference9th International Conference on Computer-Aided Industrial Design and Conceptual Design: Multicultural Creation and Design -CAIDCD 2008
Country/TerritoryChina
CityKunming
Period22/11/0825/11/08

Keywords

  • Axiomatic design
  • Design evaluation
  • Information quantity

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