Concrete Solution Concept Modeler : CSC - Modeler


Concrete Solution Concept Modeler : CSC - Modeler


"Contribution à la formalisation des liens invention-optimisation en conception inventive"

Prepared by Thongchai Chinkatham

Under the direction of prof. Denis Cavallucci


Situation & Objective

Currently, there is a gap between idea generation, ranking and idea selection for further implementation (Fig.1). This is due to the fact that experts have no time or little time to fill this gap. At this stage, the consequence is often that projects are abandoned (or placed on a shelve). In parallel, computer support to conceptual design phase is not overwhelmed with many tools, they offer a useful tool for the concept generation but still poorly support explicit evaluation and selection. The purpose of this research is to fulfill this gap by propose an approach and develop a software framework (RSC-Modeler) to support the evaluation/selection a type of conceptual design result: an inventive solution concept obtained from IDM-TRIZ (inventive design method based on TRIZ), by using optimization techniques.  



 Fig. 1 Situation during conceptual design


Our approach proposed

According to a solution concept from IDM and concept evaluation, the flow of their interaction between design and analysis is presented in Fig. 2. After filtering and classifying a solution concept, it consists of four main stages:

1) evaluation problem formulation-define goals to be performed in evaluation or which problem make the solution concept still unsatisfying in terms of domain analysis, fidelity, objective, specification/requirements.

2) Behavioral modeling-transforms formal description of evaluation problem into a behavioral model-models that capture the mathematical description of the physical behavior of a solution or system, which aiding by knowledge repository. And then, mapping behavioral model into optimization problem.

3) Model execution - executes model and characterize behavior of model into mathematical values, and collect results.

4) Results evaluation-verifies results and re-execution model with new parameters’ values in order to collect all possibilities results while searching for the optimum manner using optimization.

  Fig. 2 Overall steps for Early Technical Feasibility Evaluation part (SMEs Approach)










1. Chinkatham, T., & Cavallucci, D. (2015). Early feasibility evaluation of Solution Concepts in an Inventive Design Method Framework: Approach and support tool. Computers in Industry67, 1-16.

2. Chinkatham, T., Knittel, D., & Cavallucci, D. (2014, June). Avoiding losses of relevant ideas in inventive design. In Engineering, Technology and Innovation (ICE), 2014 International ICE Conference on (pp. 1-6). IEEE.

3. Chinkatham, T., & Cavallucci, D. (2014). On Solution Concept Evaluation/Selection in Inventive Design.


 Financial support by Région Alsace and Time To Innovate consortium (EADS, Alstom, ArcelorMittal and INSA Strasbourg)



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