TRIZ theory and case based reasoning: synergies and oppositions

Houssin, Rémy; Renaud, Jean; Coulibaly, Amadou; Cavallucci, Denis; Rousselot, François

doi:10.1007/s12008-014-0252-1

Cited by 21 publications

(5 citation statements)

References 18 publications

(22 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Like other inventive design approaches, the TRIZ-IDM approach does not offer precise and immediately applicable solutions but rather ideas giving hints to produce solutions or simply called SCs [5], [27].…”

Section: Application Casementioning

confidence: 99%

Framework for evaluating solution concepts in TRIZ-based inventive designs using a functional, behavioral, and structural modeling approach

Irshad,

Coulibaly,

Chibane

et al. 2023

FME Transactions

Self Cite

View full text Add to dashboard Cite

This study proposes an evaluation framework to explore the solution concepts generated by inventive design approaches in the concept generation phase of the engineering design process. The concept generation phase significantly impacts producing inventive solutions, as a failure at this stage can lead to time-consuming redesign and expensive rework without any solution. The proposed framework is focused on solving two problems at this stage: first, how to represent a solution concept that is not an obvious product but rather a rough idea capable of guiding designers to produce inventive solutions. And second, how to analyze the solution concepts to evaluate and compare with others. The evaluation framework is based on the classical Gero's function, behavior, and structure product modeling formalism. The capability of the proposed evaluation framework is initially tested through its application to solution concepts generated by inventive design approaches like the Russian Theory of Inventive Problem Solving TRIZ.

show abstract

Section: Application Casementioning

confidence: 99%

Framework for evaluating solution concepts in TRIZ-based inventive designs using a functional, behavioral, and structural modeling approach

Irshad,

Coulibaly,

Chibane

et al. 2023

FME Transactions

Self Cite

View full text Add to dashboard Cite

show abstract

“…Concerning the capitalisation of experience in innovation, several different approaches have been published. Most of them are based on the use of case-based reasoning, and we can mention one of the first works in this area by [Hou15] where the similarities and differences between the TRIZ theory and case-based reasoning are outlined. We can also mention the works of [Liu20a], who propose a novel approach of clustering of similar design cases, using fuzzy relational analysis, case-based reasoning and the C-K theory.…”

Section: Theoretical Issues About Innovation and Creative Designmentioning

confidence: 99%

Computing Inventive Activities in an Industrial Context New Scientific Challenges and Orientations

Cavallucci

Zanni-Merk

2021

IFIP Advances in Information and Communication Technology

Self Cite

View full text Add to dashboard Cite

In light of the increasing computerization of the world, the innovation activity in the industrial context seems to be lacking of tools to improve its performance. Since 2004, the 5.4 working group has been devoted to studying the computerization of this activity in industrial environments, coming up against, throughout its history, the underlying complexity of tackling a theme that is eminently complex because it is multidisciplinary and often in competition with human creative reasoning. However, the rebirth of artificial intelligence and the 4.0 paradigm are now pushing us to reconsider our research axes, as well as the scope of action in which our research must be situated. This article proposes an analysis that aims to refocus our research around a more realistic topic, more in tune with today's world, in line with our understanding of the issues in which our contribution can be deployed and on which scientific foundations.

show abstract

“…In fact, it says that any problem can connected to a general situation independent of original domain of the technical system. As a result, designer is able to extend the solution space into various domains of knowledge and apply problem-solving techniques from different fields of knowledge [5] [6] [7]. However, this theory supplies many ideas and has the following defects: it could not guarantee a solution and its feasibility, TRIZ provides only concepts and it could not directly propose implementable solutions [8].…”

Section: Introductionmentioning

confidence: 99%

Improving Inventive Design Methodology’s Agility

Hanifi¹,

Chibane²,

Houssin³

et al. 2019

IFIP Advances in Information and Communication Technology

Self Cite

View full text Add to dashboard Cite

Inventive Design (ID) methodology has been developed in four main phases, from initial situation analysis to solution concept, in order to overcome TRIZ limitations. However, this methodology needs to optimize its performance, because it takes a lot of time to obtain the best solution concepts. In addition, the ability of ID to give the best result depends on individual knowledge and experience of designer, and correctness of initial situation analysis. The proposed methodology in this article uses a collection of tools and combines a long-term vision for continuous improvement. This improvement method focuses on removing the non-value added activities during the process and maximizing the quality of the results. Integration of this proposed methodology with ID framework will eliminate the wastes, which occur in different phases of ID method and increase its overall efficiency and agility.

show abstract

TRIZ theory and case based reasoning: synergies and oppositions

Cited by 21 publications

References 18 publications

Framework for evaluating solution concepts in TRIZ-based inventive designs using a functional, behavioral, and structural modeling approach

Framework for evaluating solution concepts in TRIZ-based inventive designs using a functional, behavioral, and structural modeling approach

Computing Inventive Activities in an Industrial Context New Scientific Challenges and Orientations

Improving Inventive Design Methodology’s Agility

Contact Info

Product

Resources

About