Inventive Principles Extraction in Inventive Design Using Artificial Intelligence Methods

Abstract

Today, companies are seeking effective approaches to improve their innovation cycle time<!-- Query ID="Q1" Text="This is to inform you that corresponding author and his e-mail address have been identified as per the information available in the Copyright form." -->. Among them, it is possible to mention Inventive Design Methodology (IDM) as a TRIZ-based systematic inventive design process<!-- Query ID="Q2" Text="This is to inform you that as the Institutional email address of the corresponding author is not available in the manuscript, we are displaying the private email address in the PDF and SpringerLink. Do you agree with the inclusion of your private e-mail address in the final publication?" -->. However, the application of this approach is time-consuming due to requesting a complete map of a problem situation at the initial phase of the inventive design process. To solve this drawback, the Inverse Problem Graph (IPG) method has been developed to increase the agility of the process. Nevertheless, authors of IPG did not mention how the designers could achieve the innovative solutions by using the formulated problems. The purpose of the research presented in this article is to integrate the doc2vec method and machine learning text classification algorithms as Artificial Intelligence methods into the IPG process. This integration helps introduce an automatic approach for the inventive design process, helping to formulate the contradictions among TRIZ parameters in the contradiction matrix and extract the inventive principles in their intersection. The capability of the proposed methodology is finally tested through its application in a case study.

BibTeX

@inproceedings{hanifi:hal-04048438,
  TITLE = {{Inventive Principles Extraction in Inventive Design Using Artificial Intelligence Methods}},
  AUTHOR = {Hanifi, Masih and Chibane, Hicham and Houssin, Remy and Cavallucci, Denis},
  URL = {https://hal.science/hal-04048438},
  BOOKTITLE = {{IFIP Advances in Information and Communication Technology}},
  ADDRESS = {Warsaw, Poland},
  EDITOR = {Robert Nowak and Jerzy Chrząszcz and Stelian Brad},
  PUBLISHER = {{Springer International Publishing}},
  SERIES = {Systematic Innovation Partnerships with Artificial Intelligence and Information Technology},
  VOLUME = {AICT-655},
  PAGES = {178-186},
  YEAR = {2022},
  MONTH = Sep,
  DOI = {10.1007/978-3-031-17288-5\_16},
  PDF = {https://hal.science/hal-04048438v1/file/527541_1_En_16_Chapter.pdf},
  HAL_ID = {hal-04048438},
  HAL_VERSION = {v1},
}