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Our customers are R&D and marketing departments and new product development centres of corporations as well as small and medium manufacturing and service enterprises.
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Innovation Management Process
Risk Minimization
Product Optimization and Problem Solving
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  R&D innovation projects based on TRIZ methodology

Due to experience gained in a broad range of industries, TriS Europe has been able to develop and refine a cost-saving approach to product optimization and systematic problem solving using TRIZ methodology. Innovation projects, prepared and moderated by TriS experts together with the company's R&D project team (about 3…10 persons), can be completed within 2 to 7 workshops. The projects are run using the web-based TriS-IDEAS software, which structures the problem solving process and automatically documents all project steps and ideas via the company's web-based intranet. The results are accessible to the project team and R&D management at any time.


  Typical Tasks for Innovation Projects:

Formulating innovation strategy and development of customer-driven product concepts: identification of customer requirements and benefits, definition of the future product features, benchmarking of competitive products, idea generation and development of innovation concepts.

Invention-on-demand and comprehensive problem solving: initial situation analysis, generation and evaluation of solution ideas by means of TRIZ methodology, choice of solutions for short, medium and long term implementation.

Forecasting the technical evolution of products or processes based upon the latest technologies available including innovation shifting to new operation principles (technology roadmapping).

Creative value engineering and cost reduction with TRIZ in cases where all available cost-cutting measures seems to be exhausted.

Creative value engineering and cost reduction with TRIZ in cases where all available cost-cutting measures seems to be exhausted.

Enhanced quality control and optimised innovative products by means of anticipatory failure identification: the prediction and elimination of hidden sources of potential failure scenarios or damage as well as the analysis of previous failures which have occurred through unknown mechanisms.

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