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Service features:
Aatrizinventor is a mathematical algorithm, based on a conceptual and practical development of 5 years of research, which gave rise to an integrated innovation methodology called Nature's 'Language of Innovation', or its acronym 'Nature's L.I.', containing the solutions of innovation of the world, which are the solutions of innovation-evolution of nature.This methodology brings together concepts from the Theory of Constraints (TOC), the Theory of Inventive Problem Solving (TRIZ) and Morphological Analysis. The author's professional experience, with 30 years in the electrical and mining industry in Chile, complemented the work in the formulation of the methodology, contributing its experience in the analysis of a large amount of process operation and equipment maintenance data, learning that numbers "speak" and describe undesirable effects with identifiable behavior trends in discrete spaces and times, which require a solution.
Aatrizinventor allows an accelerated and focused approach to the solution of an existing problem or an innovation challenge, both multivariable, that a User seeks to solve, for a given space and time, based on in-depth knowledge of the 'current' undesirable condition, understanding by 'current': a present or past time, an imagined future, or an imposed future. The integration of solutions allows innovating from small subsystems to large systems or processes.
Aatrizinventor provides the User with a Report with the most recommendable generic conceptual solution to challenge formulated, based on the information entered in the algorithm, defined by the User. If said information is accurate, then based on the solution provided by Aatrizinventor and applying technological, social or natural research that the solution requires, the User will be able to quickly formulate a specific solution that will satisfactorily adjust to their own reality. Alternatively, if the User enters more than 4 undesirable effects, which is a recommended option if is possible, the Aatrizinventor algorithm performs a sensitivity analysis and prioritizes other combinations of entered parameters, which may be more effective than the initial evaluated combination. With this information the User will decide whether to evaluate any of it, to contrast with the solution obtained with its original formulation.
There are no bad solutions, there are only misunderstood problems or innovation challenges, which the User must identify well to find the best solution.
It is highly recommended that you read the Aatrizinventor Algorithm User Manual, which you can access on the main page. Be sure to check out the three types of innovation defined by Nature's L.I. : Innovation by evolution, Innovation by imagination and Innovation by imposition, Item 9 of the Manual. It is also critical that you read how to determine the undesirable effects of an evaluated object and its relationship with the updated TRIZ innovation parameters, see Item 8. The rest is all the question of practice.
At some magical moment you will internalize that innovation can be systematic, based on well-defined objective rules that are repeated over and over again.