Notes from the Executive Director - My Feelings and Observations!

Welcome to the Altshuller Institute for TRIZ Studies

 The purpose and function of the Altshuller Institute for TRIZ Studies

The Altshuller Institute for TRIZ Studies is a prestigious organization dedicated to promoting the study and application of TRIZ (Theory of Inventive Problem Solving). Named after its founder, Genrich Altshuller, the institute serves as a hub for research, education, and collaboration in the field of TRIZ. 

The primary purpose of the Altshuller Institute is to advance the understanding and utilization of TRIZ principles across various industries and domains. It fosters a community of TRIZ practitioners, researchers, and enthusiasts who are committed to new systems and driving innovation.

The Altshuller Institute also plays a crucial role in education and training. It provides a conduit to various educational programs, workshops, and seminars on TRIZ. These initiatives cater to individuals at all levels, from beginners seeking an introduction to TRIZ to experienced practitioners looking to deepen their knowledge.

Innovation and problem-solving are generic skills and can be applied across many different domains. Knowledge of TRIZ will help to increase the productivity of everyone who has some training in and practices this powerful methodology.

The next big thing!!!  --  TRIZCON2025

TRIZCON2025 – Call for Abstracts
Celebrating 26 Years of TRIZ Advancement Worldwide

Conference Date: Early October 2025

The Altshuller Institute for TRIZ Studies (AI) proudly announces TRIZCON2025, to be held in the first or October 2025. Since our inaugural event in 1999, Altshuller Institute has been a global pioneer in bringing TRIZ outside of Russia, leading the way in promoting inventive thinking and structured innovation across industries and continents. Today, we are honored to see TRIZ and Innovation conferences flourishing around the world — a testament to the seeds planted by AI in the early 2000s.

We thank all our colleagues, presenters, and attendees for your past and continued support as we enter this exciting new phase of TRIZ development.

Conference Theme: The Resurgence of TRIZ with Artificial Intelligence in support of education, manufacturing and science

• How AI can assist in TRIZ problem formulation or inventive principle selection

• Applications of TRIZ in AI development, optimization, or ethical design

• Case studies integrating AI-driven tools with TRIZ methodology

• The future of inventive thinking in a world increasingly guided by machine intelligence

We encourage you to think creatively and ambitiously about where your expertise fits into this evolving narrative.

Venue:  University of Latvia, House of Science located at Latvia, Riga, Jelgavas street 3

Call for Abstracts

We are still accepting abstract submissions for review and consideration.
Deadline for submission: 30 July 2025

Presenters from academia, industry, consulting, and government are all welcome to submit. We seek papers, case studies, and research that reflect both foundational TRIZ principles and their innovative application in all areas of society with the possible application of Artificial Intelligence.

If you’re interested in participating or need help brainstorming your topic idea, feel free to reach out. We look forward to another successful and enriching TRIZCON — and to see how your work contributes to the next generation of inventive problem-solving.

The Altshuller Institute facilitates the training and support of the Bioengineeringdepartment at Tulane University, New Orleans, LA. The professors were very excited about the TRIZ training provided and sought practical tools to help the students with their bioengineering projects.

"For the third year in a row, Tulane University is offering a TRIZ course as part of the Graduate Engineering Curriculum. Every year, 10-15 students spanning 4 engineering disciplines learn the basics of TRIZ methods. Some will elect to sit for the certification exam to become TRIZ Associates. Graduates of the program typically become industry leaders in research, design, and manufacturing. As part of the course, students examine their past projects with the training they received and implement TRIZ conflict resolution, and compare their previous designs to the multitude of innovative solutions they could generate with the TRIZ framework." By Prof. Khaled Adjerid, Bioengineering Dept. Head

This year from that class, 5 students took and pass the official exam and have earned their Associate Certification from the Altshuller Institute. Their names are:

 Adam Xilong Bao, Koios Nicolette Shepard-Davis, Gus Elliott Morrison, Kailee Davis Oswald, and Isabella Renee Posey. My personal congratulations to these fine students for their hard work and courage to take this exam and be recognized for their accomplishments.  - R. Langevin

If other universities would like to know more about installing a TRIZ course to help their students succeed in their field of endeavor, just let us know. The Institute is ready to help you achieve your goals. TRIZ is a foundational methodology for technology innovation and is useful to all who become familiar with the tools and philosophy.

Volunteers Needed -- Join Us in Shaping the Future of the Altshuller Institute

Strengthen the Global TRIZ Community — Become a Member of the Altshuller Institute

 To all of our members, colleagues, friends, and extended TRIZ family, I wish you happiness, peace, health, and wealth.

TRIZ Training  Schedule

For the latest information about TRIZ training from various Providers, go to TRIZ Training Schedule

Inside TRIZ Article 

The ‘white-collar bloodbath’ is all part of the AI hype machine! 
                                                                                                                                                     Anthropic CEO, Dario Amodei, is positioning himself as an AI truth-teller.             

READ more

Updated:  4 April  2025

Toru Nakagawa (OGU, WTSP Project Leader) 

Dear TRIZ Colleagues and WTSP Members

Hello, how are you, your family, and the people in your country? 

I uploaded the following articles yesterday in my website:
        https://www.osaka-gu.ac.jp/php/nakagawa/TRIZ/eTRIZ/
.[1] Paper “Earthquake Prediction Research  Based on the TRIZ
         Philosophy"  (Toru Nakagawa)
        Presented at ETRIA TFC TRAI2024, Nov. 8, 2024, Romania.
[2] Introduction “ibid. (6) Paper, Slides, and Video
         presented at ETRIA TFC TRAI2024"
         LinkedIn (TRIZ & Innovation Group) (Jan. 17, 2025)
[3] Paper “Development of Earthquake Prediction Research -
         Toward Practical Application (Official Earthquake Prediction Warning)”
      Presented at EPSJ (Earthquake Prediction Society of Japan)
        Dec. 22, 2024, Chiba University.
        - This paper best describes my current thoughts.
[4] Introduction “Earthquake Prediction Research Based on TRIZ
        Philosophy (7) Vision of the Ultimate Goal -
        Official Operation of EQ Prediction Notices/Warnings”
------------------------------------

Best wishes,

Toru Nakagawa

CATEGORY: TRIZ NEWS

 Powerful solutions grow on TRIZ!

• Samsung – Uses TRIZ to drive innovation in electronics, particularly in semiconductor and display technologies.
• Intel – Applies TRIZ principles in research and development for microprocessor advancements.
• General Electric (GE) – Integrates TRIZ into product development and process optimization.
• Procter & Gamble (P&G) – Uses TRIZ to enhance product design and packaging.
• Ford Motor Company – Implements TRIZ to solve engineering and manufacturing challenges.
• Boeing – Employs TRIZ in aerospace engineering and design innovation.
• Siemens – Utilizes TRIZ in industrial automation and healthcare technology.
• LG Electronics – Leverages TRIZ for improving consumer electronics and home appliances.
• Panasonic – Incorporates TRIZ into research and development for new product innovations.
• Honeywell – Uses TRIZ for enhancing industrial and safety solutions.

These and other Fortune 500 companies recognize the power of TRIZ in driving structured innovation, improving problem-solving, and enhancing competitive advantage in their respective industries.

Allied Signal, Amoco, BAE Systems, Boeing Corporation, Brunswick-Life Fitness, Cabot Corporation, Chrysler, Daimler Chrysler, Dana, Delphi Corporation, Dow Chemical, Dura Automotive, Eastman Chemical, Ford, GM, Hewlett-Packard, Hitachi, Honeywell, IBM, International Truck, Johnson & Johnson, LG Electronics, Lockheed Martin, Motorola, Kimberly-Clark, Kodak, McDonnell Douglas, NASA, National Semiconductor, Nortel, Otis Elevator, Panasonic, Parsons, Peugeot, Procter & Gamble (P&G), Samsung, Rockwell, Shell, Rohm and Haas, Rolls Royce, Teck Cominco, Toyota, TRW, UNISYS, United Technologies, Visteon, Xerox, and more.

 Innovation and problem-solving are generic skills and can be applied across many different domains; make someone more effective in one domain, and they will also be more effective in others. Knowledge of TRIZ will help to increase the productivity of everyone who has some training in and practices this powerful methodology.

TRIZ Works

Here are some fundamental factors that point to TRIZ as an effective and transformational methodology:

1. It is very general.
2. It is grounded in a reliable body of knowledge, the growing patent base.
3. The scenarios it generates bypass the psychological inertia of team members.
4. It can be used with other quality processes, removing roadblocks and speeding up decision-making.
5. It reduces the resources required to generate a solution set.
6. It is rapid in generating solution concepts, relative to other methods.
7. It can be taught, and applied, at any level of education, from school children to management consultants to PhD scientists.

Help us bring TRIZ to the World

Support Innovation — Become a Sponsor of the Altshuller Institute

Bring Innovation and Creativity to your organization in a fast and meaningful way!

AI-TRIZ INTEGRATED FRAMEWORK FOR ENHANCED CREATIVITY, INNOVATION, AND

PROBLEM-SOLVING IN THE CONTEXT OF UNCERTAIN ENVIRONMENTS

Temesgen Getachew Atilaw, PhD.

Corresponding Author: This email address is being protected from spambots. You need JavaScript enabled to view it.

Abstract

The TRIZ method emphasizes the use of patent information to inspire early design stages. However, effectively leveraging this vast and complex patent knowledge for safer and more efficient product innovation is challenging. Recent advances in AI, specifically Natural Language Processing (NLP) and Machine Learning (ML), are improving the speed and effectiveness of extracting useful information from patents. Our framework introduces an integrated TRIZ-AI approach that combines AI-based tools, including NLP and ML, with TRIZ to enhance innovation in product development. This helps tackle uncertainties in fast-paced product development by employing a process involving functional decomposition, function abstraction strategies, searching for similar products in a patent library, screening for the best matching model, and utilizing TRIZ tools for finalizing the engineering design plan. Ultimately, our approach aims to bridge the gap between theoretical patent knowledge and its practical use in product development, enhancing innovation while adapting swiftly in uncertain environments.

Key Words: TRIZ, NLP, ML, New Product Development, Uncertain Environments, Innovation

Biography

Temesgen Getachew is a postdoctoral research fellow (PDRF) at the DSI/NRF South African Research Chair in Industrial Development (SARChI) at the University of Johannesburg, South Africa. He holds a PhD in Mechanical Engineering (Industrial Engineering) from Addis Ababa University, an MSc in Textile Manufacturing, a BSc in Textile Engineering from Bahir Dar University, and a Diploma in Theology from Kidist Silasse University. Temesgen’s research focuses on industrial engineering and innovation, particularly the Theory of Inventive Problem Solving (TRIZ). He earned his TRIZ Associate Level Certification after training at the Technical Innovation Center in America and passing the certification exam from the Altshuler Institute in the USA. At the University of Johannesburg, he is working on a project titled “AI-TRIZ Integrated Framework for Enhanced Creativity, Innovation, and Problem-Solving in the Context of Uncertain Environments.” He also has 12 years of teaching experience as a lecturer at Wolkite University in Ethiopia.

This email address is being protected from spambots. You need JavaScript enabled to view it./temesgengetachew86@gmail.com

Solving Inventive Problems by Primary School Students in a Digital Environment

Prof. Galina Terekhova, Kirill Terakhov

Abstract:

We have designed a digital environment for developing the inventive abilities of primary school students through educational experiments. The content of the digital laboratory includes special didactic tools based on TRIZ models for organizing inventive experiments. The proposed method of organizing the educational environment allows the expansion of the children’s experimental activity in solving inventive problems, namely, to build the skills of correct formulation of hypotheses in experimental activity, to improve the quality of practical solutions while retaining the ability to show intellectual initiative; to develop the ability to identify experimentally reliable solutions to a problem; to form a desire to use scientific terminology, to conduct a constructive dialogue in the process of joint research activities; to formulate hypotheses and conclusions during the experiment.

Keywords:  digital laboratory, educational environment, research activity, children’s inventive activity, OTSM-TRIZ technologies.

Short professional biography

This email address is being protected from spambots. You need JavaScript enabled to view it. 

Associate Professor of the Faculty of Theoretical and Applied Psychology, South-Ural State Humanitarian Pedagogical University, Chelyabinsk, Russia

Author of more than 300 publications in the field of TRIZ education. Provides professional training based on TRIZ for students and qualified specialists in the humanities and conducts classes for children and parents.

My research interests include TRIZ teaching, training in developing, psycho-pedagogical support of TRIZ-education participants, developing creativity, and forming strategies for productive activities (schoolchildren, students, professionals).

The author has completed the following projects:

Developed the educational concept of “Creator” (Contest of the Ministry of Science and Education at “SKOLKOVO School”), co-author (2010-2012).

Developed the vocational education program “Lessons of Creativity” (grades 1-6). Developed the projects of the Korean Russian Centre for Cooperation in Sciences and Technologies “KORUSTEC” (2012-2016).

The author jointly designed the course “TRIZ-inventor” for children aged 6-12 (2016-2018) with A.A. Nesterenko. The additional education program is included in the list of the best informal practices in Russia.

Developed the course "Innovators" (for children 6-12 years old) with the digital laboratory "Trizologika" (2020-2023).

Scientific consultant of the federal innovation platform "Testing and implementation of a model for advanced training of teachers for the development of inventive thinking of younger schoolchildren using an innovative educational and laboratory complex on TRIZ technologies in the educational space of schools," Mari El, 2023 -...)

Kirill Terekhov

Biography:

This email address is being protected from spambots. You need JavaScript enabled to view it.

Principal Software Engineer, an individual contributor to big tech companies’ core systems.

Throughout my career, I built large-scale systems in such areas as:

• Digital media where we provided a  smooth and interactive experience of reading the world's most famous magazines including educative ones designed for children (Napoleon IT LLC, 2014-2019)
• Leadership I was responsible for mentorship and evaluation in an Android development department with more than 15 people. Under my direction development speed grew by ~20% and nearly complete interchangeability among developers was achieved which reduced idling time by ~85%. (Napoleon IT LLC, 2019-2020)
• Online retail I designed a generic presentation system on which an app of the second largest online marketplace is based (AliExpress Russia LLC, 2020-2024)

This paper investigates the use of generative AI for the systematic modification of resources as part of the broader idea-generation process. Using resource analysis and TRIZ-based problem-solving principles, the AI facilitates structured innovation by identifying, categorizing, and transforming various resource categories, including substance, field, time, space, information, and functional resources. The system supports diverse modification goals, such as resolving contradictions, achieving specific objectives, completing jobs to be done, or addressing other creative challenges. It begins by analyzing the existing system, defining the desired modification goal, and applying generative AI to suggest solutions based on appropriate TRIZ principles. The AI-driven modifications enhance resources by adapting their parameters or functions to meet new, optimized goals. This generative AI system accelerates the idea-generation process by providing innovative, practical solutions to real-world problems, improving efficiency and creativity. The integration of generative AI for resource modification offers significant potential across industries, fostering innovation in product development, conceptual ideation, and complex problem-solving.

Keywords:Generative AI, Resource Modification, TRIZ Principles, Idea Generation, Innovation Process

Email: This email address is being protected from spambots. You need JavaScript enabled to view it.

基于生成式人工智能的系统性资源调整与创造性问题解决

摘要

本文探讨了在更广泛的思维生成过程中，应用生成式人工智能进行系统性资源调整的实践。结合资源分析和基于发明问题解决理论 (Theory of Inventive Problem Solving, TRIZ) 的问题解决原则

，人工智能助力系统化创新，可对物质、场域、时间、空间、信息和功能资源进行识别、分类和转换。该系统支持多种目标导向的修改，如解决矛盾、实现特定目标、完成任务或应对其他创造性挑战

。其流程始于分析现有系统，定义所需的修改目标，并应用生成式人工智能，依据TRIZ原则提出解决方案。人工智能驱动的修改通过调整资源的参数或功能，满足新的优化目标，从而增强资源效能。该生成式人工智能系统通过提供创新实用的解决方案，加速思维生成过程，提高效率和创造力。生成式人工智能在资源修改方面的应用，在各行各业中展现出巨大潜力，推动了产品开发、概念构思和复杂问题解决的创新进程。

关键词:生成式人工智能（Generative AI）、资源修改（ Resource Modification）、TRIZ原则（TRIZ Principles）、思维生成（Idea Generation）、创新过程（Innovation Process）

TANASAK PHEUNGHUA, TRIZ Specialist

Biography

Education

King Mongkut’s Institute of Technology North Bangkok, Bachelor of Engineering/ Major in Production Engineering

Training, Shinsuke Kurosawa, Trizit Benjaboonyazit.

TRIZ Level 3 with Dr. Salamatov Tutorial Session, Nikolai Khomenko. Tutorial Session, Dr. Oleg Feygenson

Tutorial Session, Dr. Simon Litvin, Japan TRIZ Symposium

Tutorial Session, Dr. Sergei Ikovenko. Tutorial Session, Valeri Souchkov.

Experience

Published TRIZ and Generative AI articles in 2023 worldwide, presented at innovation

conferences in France, Austria, and Taiwan.

Innovation Consulting and TRIZ Training as part of a Design Thinking Co-Project with PTT 2023.

Also involved in Innovation Consulting and TRIZ Training with Bangchak since 2023.

Providing Innovation Consulting, TRIZ Training, and Coaching at Agro. Fiber / Green

Fiber (Double A Group) since 2023.

Conducted Innovation Consulting, TRIZ Training, and Coaching for CPF Group from

2009 to 2022, involving approximately 1,000 Scientists and Engineers in various

departments such as R&D, Farm, Animal Feed, Aqua Feed, and Food Product.

Engaged in Innovation Consulting, TRIZ Training, and Coaching for Thai Container

Group, a subsidiary of the SCG Group, since 2010, with a break in 2020 and a return in 2023.

Provided Consulting for Process Improvement Projects and delivered TRIZ training

programs for Somboon Group since 2008, with a break until 2013, and a return in 2023.

Offered innovation consulting services for the R&D division of the building material

section within the SCG Group from 2010 to 2011.

Conducted Consulting and delivered TRIZ training programs for Mahaphant Fiber

Cement Group in 2008-2009.

Extensive experience in process and quality improvement across various

industries, including automotive suppliers, electric/electronic, and food packaging,

with a track record of over 200 successful Black Belt Projects and numerous Green Belt Projects from 2002 to 2007.

Proficient in process improvement using Design of Experiments (DOE), particularly

for metal brazing, soldering, welding applications, and special material welding,

plating, and coating processes involving materials like silver, nickel, gold, and copper.

I am also experienced in optimizing painting processes and plastic injection.

Conducted food processing optimization using the Taguchi method.

Served as a Speaker and Judge Committee member for the final rounds of the MyTRIZ

(Malaysia TRIZ) Competition in 2013, 2014, 2015, and 2016 in Penang, Malaysia.

• Presented a poster showcasing the implementation of TRIZ in Thailand at the TRIZ

Symposium 2011 held at Toshiba Education & Training Institute in Yokohama, Japan.

• Presented a poster on the implementation of TRIZ in Thailand at the Global TRIZ Conference 2011 in Seoul, South Korea.
• Authored the "TRIZ" handbook, published by E.I. Square Press in 2008, with over 8,000 copies published to date.

Work Experience

Managing Director / Consultant, (2004-present) The Inventor Development Co., Ltd.

Innovex (Thailand) Co., Ltd.

Schneider Electric (Thailand) Co., Ltd.

HCC (Thailand) Co., Ltd. (Ford Motor / HCC Korea JV)