Install | +2 K |
From 322 Rates | 4.5 |
Category | Education |
Size | 5 MB |
Last Update | 2014 July 22 |
Install | +2 K |
From 322 Rates | 4.5 |
Category | Education |
Size | 5 MB |
Last Update | 2014 July 22 |
TRIZ (/ˈtriːz/; Russian: теория решения изобретательских задач, teoriya resheniya izobretatelskikh zadatch) is "a problem-solving, analysis and forecasting tool derived from the study of patterns of invention in the global patent literature". It was developed by the Soviet inventor and science fiction author Genrich Altshuller and his colleagues, beginning in 1946. In English the name is typically rendered as "the theory of inventive problem solving", and occasionally goes by the English acronym TIPS.
Following Altshuller's insight, the theory developed on a foundation of extensive research covering hundreds of thousands of inventions across many different fields to produce a theory which defines generalisable patterns in the nature of inventive solutions and the distinguishing characteristics of the problems that these inventions have overcome.
An important part of the theory has been devoted to revealing patterns of evolution and one of the objectives which has been pursued by leading practitioners of TRIZ has been the development of an algorithmic approach to the invention of new systems, and the refinement of existing ones.
The theory includes a practical methodology, tool sets, a knowledge base, and model-based technology for generating new ideas and solutions for problem solving. It is intended for application in problem formulation,system analysis, failure analysis, and patterns of system evolution.
There are three primary findings of this research. The first is that problems and solutions are repeated across industries and sciences, the second that patterns of technical evolution are also repeated across industries and sciences, and the third and final primary finding is that the innovations used scientific effects outside the field in which they were developed. In the application of TRIZ all these findings are applied to create and to improve products, services, and systems.