In this article Karen Tate and Dr. Ellen Domb discuss the 40 Inventive Principles and provide examples of each principle being applied with respect to technical issues. The 40 Inventive Principles were developed to allow practitioners to create solutions to problems through the use of TRIZ methodologies. Through these examples practitioners can observe the 40 Inventive Principles at work and learn to apply these methods to their own problems.
In this article Dr. Ellen Domb gives an example of two different types of psychological inertia through the use of a story. People can be unaware of the effects of psychological inertia and how it can affect them. Through this story two types of psychological effects are brought to light, authoritarianism and subject matter specialization, helping people be more aware of outside influences.
In this article Karen Becker and Dr. Ellen Domb discuss the application of Neuro-Linguistic Programming (NLP) when problem solving with TRIZ methodologies. NLP was developed by observing and duplicating cognitive strategies with the idea in mind of replicating these cognitive strategies and applying them to increase effective cognitive use. Through the use of both NLP and TRIZ methodologies practitioners can better apply their whole brain during the problem solving process.
In this article Gregory Frenklach discusses the System Operator when observing and solving problems. The System Operator forces the problem solver to view the system with respect to the subsystem, system and super-system as well as the past, present and future. Because the System Operator allows the TRIZ practitioner to view the problem from multiple perspectives, it gives them the ability to choose how they would like to solve the problem while utilizing their available resources.
In this article Dr. Ellen Domb discusses the advantages of identifying the Ideal Final Result with respect to solving problems. The Ideal Final Result provides the best possible solution for your system without creating any additional constraints or complications. Many times the well defined Idea Final Result leads the problem solver to a solution, but even the less apparent solutions are obtainable with the use of an ARIZ based algorithm.
In this article Ronny Mann and Gregory Frenklach discuss merging TOC TP and TRIZ methodologies in order to solve problems in systems that have both human and technical factors. TOC TP is used to determine and resolve system constraints while TRIZ is utilized to provide solutions to technical problems in a system. Developing a tool that melds these two methodologies together provides solutions to individual weaknesses, and creates useful and reliable solutions pertaining to systems with both human and technical components.
In this article Amir Roggel and Gregory Frenklach explain Problem Situation Mapping (PSM) and give examples of different applications. When solving a problem the most important step is the identification of that problem. PSM allows TRIZ practitioners to be more effective innovators by giving them the ability to Identify and define the correct problem to solve, and to determine the correct contradictions associated with the problem.
In this article Dr. Ellen Domb discusses the effects TRIZ methodologies and tools can have on the Quality Function Deployment (QFD) process. QFD practitioners are known to very clearly identify the initial qualities of a system, but sometimes have difficulty utilizing the large amount of data created in order to be innovative. The use of TRIZ allows QFD users to enhance their current abilities and to better satisfy customer’s wants and needs.
In this article Dr. Ellen Domb talks about teaching TRIZ concepts to students and solving problems through the use of analogies. An important concept in TRIZ involves identifying a principle through the use of a contradiction matrix or other methods, and utilizing examples of that principle to solve the problem at hand. To better teach this analogy based concept to students, an algorithm is provided that increases comprehension and creates additional insights.
In this article Gregory Frenklach describes and gives examples of a new problem solving method called Multi-level Problem Solving. This method utilizes multi-level analysis which allows the problem to be broken down to its roots, and each aspect of the problem dealt with individually. With this core idea practitioners can utilize Multi-level Problem Solving to gain new perspectives and come to new and useful solutions.