Ideality directs Innovation Flow

The Idea of using Ideality concept to direct the Innovation Flow was popularized by TRIZ. IFR - Ideal Final Result - is a central concept of TRIZ. This is about visualizing what is the ideal situation to be in - what does it look like - what happens when this Ideal situation is realized. This visualization is practised without being constrained by what is possible (today) & what is not. IFR is about escaping from current constraints and thinking about an ideal situation. IFR is a powerful concept that can be used well beyond technical problem solving.

My Mantra for Innovative Problem Solving is Focus - Escape - Move. Focus on all the zones and dimensions of the problem - i use tool slike 9 Windows and 5 Whys. The next stage is to escape from the present Paradigms - i use TRIZ tools Function Maps and Ideal Final Result here. The third stage is Move where i use the TRIZ Contradiction matrix and Inventive Principles. We will have more than one innovative solution after these three steps. Further i use the TRIZ evolution potential analysis to figure out what next.

The technology evolution S-curves are driven by improving Ideality. Ideality is defined as the ratio of the functional benefits to the sum of cost and harms for a given technology. One can evolve the technology by developing solutions that offer more benefits, less cost or less disadvantages. All these are in the positive direction of technology evolution. TRIZ tools help us with triggers to move from one S-curve to another. We will look at some interesting examples this week.

Comments

Archimedes' Bathtub, Newton's Apple and Einstein's Chair

When do Great Ideas come ? .... after Incubation Archimedes had his bath, Galileo had his leaning tower, Newton had his apple, and Einstein had his chair. All these Inventors were (a) intensely focused on solving specific physics problems (b) they had each looked at a variety of promising ideas, but reached an impasse after some stage (c) they smartly decided to move away from the scene - took a break (d) after some time, a fresh idea popped into their Mind (e) they recognized the potential of the idea and held on to it (f) they diligently worked on it and finally developed a real breakthrough concept. Many Inventors have shared the vale of incubating their idea and described specific instances where the incubation phase is followed by a sudden enlightenment. We have heard the stories of Archimedes, Galileo and Newton too often - so let us focus on Einstein's story. You might have heard of Einstein's Violin but not about his chair - the chair that gave...

Parallels between Panini and Altshuller

There are good parallels between how Panini simplified and made Sanskrit grammar accessible to all and how Altshuller simplified and made the collective wisdom of Inventive knowledge accessible to all. Panini and Altshuller were not contemporaries, they were separated by at least 25 centuries. But their zeal and perseverance to reduce complex stuff into a handful of powerful principles is very much comparable. Their himalayan effort connected the invisible dots and brought out patterns that were submerged in a vast amount of unstructured data. Panini is a great sanskrit grammarian and logician (~ 4th century BC). He was a pioneer in Linguistics and his works were path breaking in both descriptive and generative linguistics. He was a forerunner of modern formal language widely used in modern computer languages. Source - http://ramm.hubpages.com/hub/PANINI-LOGICIAN-AND-SANSKRIT-GRAMMARIAN Genrich Altshuller, the originator of TRIZ, was working in the pat...

Why & How we should study AI & Machine Learning (6 Easy Steps)

AI & ML are fundamental new technologies that can create immense value to humankind. It is very important for us to learn AI & ML and apply this knowledge in our work. If you are somebody like me without prior exposure to computers, you may wonder where to begin the journey – I did some homework and found an easy step-by-step using online resources . It takes only 6 easy steps to gain mastery in AI & ML. I will start with sharing with you the talk that Risto Siilasmaa (Chairman, Nokia) gave in Nov, 2017 – “Why you should study AI and Machine Learning and how I did it”. Step # 1 - Risto Siilasmaa started his journey into AI & ML by asking, “Where could I find good material explaining how machine learning works in terms that would speak to an engineer who loves to understand how things work?” Step # 2 - “ Why not study machine learning myself and then explain what I learned to others who are struggling with the same questions. Perhaps I could mo...

Innovation Flow

Search This Blog