TRIZ is the Russian acronym for Inventive Problem Solving Theory (Teorija Reshenija Izobretateliskih Zadatch). It is a heuristic approach intended to solve innovation problems, mainly technical ones. It was developed from 1946 by the Soviet engineer Genrich Altshuller. TRIZ considers that the problems encountered during the design of a new product present analogies with others and that analogous solutions must be able to apply. TRIZ's ambition is to foster creativity by offering engineers and inventors tools to unlock mental inertia.
The TRIZ Matrix is a tool that helps people solve problems by finding solutions. Imagine you have a problem and you don't know how to solve it. The TRIZ matrix is like a table with boxes. In each box, there is an idea to solve a problem. You can look at the boxes and find an idea that helps you solve your problem.
It's like having a recipe book for solving problems. You can look at the different recipes and choose the one that best suits you to solve your problem.
Many of the world's most innovative companies use TRIZ. In particular, General Electric, Samsung and Siemens have chosen to deploy TRIZ in order to innovate faster and better. Many also use the ASIT method, derived from the TRIZ.
Solving your technological Contradictions with TRIZ in natural language.
The TRIZ matrix gathers lists of innovative Principles that have already proven their worth.
Browsing this Matrix, you can pick solutions to your current technological problems.
For TRIZ, systems evolve towards ideality. This progression is made by solving problems.
TRIZ Matrix can help solving problems if we translate them in Contradictions ; E.g. if an object must be longer without becoming heavier, this technical challenge can be translated in this Contradictions:
Entering these values in the tool, one can browse the TRIZ Matrix to discover innovation Principles that can solve the said problem.
On TRIZCoach, to make things easier, you can express your technical challenge in natural language.
here, pqai like results are shown