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Automatic Extraction and Ranking of Systems of Contradictions Out of a Design of Experiments

  • Hicham Chibane
  • Sébastien DuboisEmail author
  • Roland De Guio
Conference paper
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 541)

Abstract

This paper shows to what extent data used in design optimization process and TRIZ based models of contradictions can benefit from each other. New design often starts by optimizing existing systems by experimental and numerical means. This approach requires building a model linking on the one hand, a set of Action Parameters; and on the other hand, Evaluation Parameters measuring the quality of a solution. When none of the solutions satisfy the objectives, a redesign of the system is required. Our hypothesis in this paper is that the analysis of experimental or simulation data, can be used as input to automatically extract systems of contradictions, and moreover that it can help to make a ranking of these systems of contradictions.

In the article 3 ways to extract, out of Design of Experiments, and to prioritize Generalized Systems of Contradictions will be presented. These methods will be illustrated throughout a case study related to a cutting process.

Keywords

Generalized Systems of Contradictions Design of Experiments Cross-fertilization optimization-invention 

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Copyright information

© IFIP International Federation for Information Processing 2018

Authors and Affiliations

  • Hicham Chibane
    • 1
  • Sébastien Dubois
    • 1
    Email author
  • Roland De Guio
    • 1
  1. 1.CSIP, ICube Laboratory, INSA de StrasbourgStrasbourgFrance

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