Mohammadi, Ali (2024) Enhancing Conflict Resolution in the TRIZ Method Using ATDM. PhD thesis, Concordia University.
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Abstract
The significance of innovation in enhancing and strengthening businesses and industries is increasingly evident in today’s competitive market. A key area within design science involves the study and development of creative design methodologies that assist designers in structuring creative processes and systematically addressing design problems.
Among the various design methodologies proposed, TRIZ, developed by Genrich Altshuller in Russia in 1956, stands out as one of the most influential. TRIZ focuses on defining a design problem, extracting the inherent conflicts (contradictions), and employing specific tools to systematically generate solutions.
In recent decades, extensive research has been conducted on TRIZ, predominantly employing an inductive approach. Researchers have typically designed experiments and case studies to analyze and refine TRIZ. While this approach has its merits, it requires substantial resources and time for execution and analysis, and the conclusions drawn are often confined to the specific contexts of those experiments. In contrast, this thesis adopts a deductive approach to study, analyze, and enhance TRIZ. Rather than focusing on the design of experiments and tests, we concentrate on axioms, proofs, and principles, utilizing logic and reasoning to analyze TRIZ and draw conclusions regarding its mechanism for resolving design conflicts. This unique approach not only advances TRIZ as a creative design methodology but also presents a systematic strategy that could potentially be applied to the development of other design methodologies.
In this thesis, we pursued three main objectives. Firstly, we analyzed TRIZ through a deductive framework known as the TASKS framework to explore how it can foster a creative environment for designers. Our analysis identified the key barriers and enablers of TRIZ that influence designers during the design process. This examination of TRIZ's limitations and weaknesses raises an important question: how can we scientifically and systematically enhance a creative design methodology like TRIZ? Therefore, the second objective of this study was to propose a deductive method grounded in the Axiomatic Theory of Design Modeling (ATDM), aimed at systematically improving creative design methodologies such as TRIZ. Employing this method could save design researchers both time and resources in analyzing creative design methodologies and developing strategies for their advancement. Through the application of this proposed method, we clarified how TRIZ could be further developed.
Finally, the third objective of this thesis was to introduce and evaluate a new iteration of TRIZ that integrates Environment Based Design (EBD) and utilizes Large Language Models (LLMs). As part of this contribution, we leveraged LLMs to introduce a conceptual design chatbot based on TRIZ and EBD. In this model, the designer inputs a design problem, and the chatbot generates systematic questions following the principles of EBD. The designer and the LLM then respond to these questions. The chatbot processes the answers according to EBD principles, which are subsequently used to perform functional analysis. Ultimately, a conflict (or contradiction) is identified within the functional analysis, and the LLM employs TRIZ principles to generate solutions and suggest a team of experts to execute the project. The evaluation of this LLM-based conceptual design chatbot demonstrated its effectiveness in addressing design problems and generating accurate and comprehensive outputs.
Divisions: | Concordia University > Gina Cody School of Engineering and Computer Science > Concordia Institute for Information Systems Engineering |
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Item Type: | Thesis (PhD) |
Authors: | Mohammadi, Ali |
Institution: | Concordia University |
Degree Name: | Ph. D. |
Program: | Information and Systems Engineering |
Date: | 1 November 2024 |
Thesis Supervisor(s): | Zeng, Yong |
Keywords: | TRIZ, Creative Design, Design Methodology, Design Thinking, Axiomatic Theory of Design Modeling, Environment Based Design, Generative AI, Design Assistance Chatbot |
ID Code: | 995089 |
Deposited By: | Ali Mohammadi |
Deposited On: | 17 Jun 2025 14:28 |
Last Modified: | 17 Jun 2025 14:28 |
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