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Parameter Deployment and Separation for Solving Physical Contradictions

  • D. Daniel SheuEmail author
  • Rachel Yeh
Conference paper
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 541)

Abstract

Physical contradiction is at the heart of TRIZ contradiction problem solving. The essence of a physical contradiction is that for two objectives, we have two contradictory demands on the same parameter of the same system. As part one of the two-part Parameter Manipulation approach to solve physical contradiction, this paper proposes a systematic new method to solve physical contradictions using the parameter deployment and separation.

By defining the local system to include the components directly at the immediate relevant components of the physical contradiction, the proposed parameter deployment systematically deploys the two objectives and the contradictory parameter into their respective causing constituent parameters. The essence of parameter separation is to assign the two contradictory requirements, either at the objective level or at the contradictory parameter level, to be satisfied by separate constituent parameters or distinct value ranges of a constituent parameter. Out of the 25 initial cases, with parameter deployment and separation, it was found that on average the number of solution ideas generated increased from 5.08 by all existing separation methods to 12.28 by parameter domination and parameter separation proposed by this paper - a net increase of 149%. Solutions conceivable by existing methods are all included in this set of problem solving strategies. With the addition of parameter transfer, the average number of solution ideas increased about 10 times compare to the number of ideas generated by all existing methods. In addition, all existing problem solving strategies constitute only 3 categories of strategies out of the 17-plus problem solving strategies proposed by this integrated set of parameter manipulation.

Keywords

Physical contradiction Parameter deployment Parameter separation Parameter transfer TRIZ Systematic innovation 

Notes

Acknowledgment

This research is funded by Ministry of Science and Technology of the Republic of China under Project number: 103-2221-E-007-052-MY3.

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Copyright information

© IFIP International Federation for Information Processing 2018

Authors and Affiliations

  1. 1.Department of Industrial EngineeringNational Tsing Hua UniversityHsinchuTaiwan

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