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2025 | OriginalPaper | Chapter

Comparative Modular Product Development Using TRIZ, AI, and VA++

Authors : Marek Mysior, Christian Iniotakis, Dominik Iwan

Published in: World Conference of AI-Powered Innovation and Inventive Design

Publisher: Springer Nature Switzerland

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Abstract

The study explores the cost implications of different product designs: modular, adaptive, and uniform, focusing on ideality metrics across three products with the same primary function. Through a systematic innovation toolkit that utilizes TRIZ and AI in the concept generation phase, this research conducts a comparative analysis of workshop cranes, assessing material use, assembly time, and reconfiguration time. Considering further input parameters, namely cost factors specific to the workshop and job distributions representing the overall market, allows us to determine the design of the highest ideality for the constellation. Each design has its domain of being the most ideal solution. The results offer insights into the practical applications of AI tools in modular product design and provide a systematic framework for optimizing cost-effectiveness and sustainability in product development. Moreover, exploring ideality and resource consumption being different among the designs contributes to developing more sustainable and adaptable manufacturing practices.

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Literature
2.
go back to reference Altshuller, G.: And Suddenly the Inventor Appeared: TRIZ, the Theory of Inventive Problem Solving. Technical Innovation Center Inc, Worcester, Mass (1996) Altshuller, G.: And Suddenly the Inventor Appeared: TRIZ, the Theory of Inventive Problem Solving. Technical Innovation Center Inc, Worcester, Mass (1996)
9.
go back to reference Iniotakis, C.: VA++ - The Next Generation of Value Analysis in TRIZ. In: Nowak, R., Chrząszcz, J., and Brad, S. (eds.) Systematic Innovation Partnerships with Artificial Intelligence and Information Technology, pp. 29–38. Springer International Publishing, Cham (2022). https://doi.org/10.1007/978-3-031-17288-5_3 Iniotakis, C.: VA++ - The Next Generation of Value Analysis in TRIZ. In: Nowak, R., Chrząszcz, J., and Brad, S. (eds.) Systematic Innovation Partnerships with Artificial Intelligence and Information Technology, pp. 29–38. Springer International Publishing, Cham (2022). https://​doi.​org/​10.​1007/​978-3-031-17288-5_​3
10.
Metadata
Title
Comparative Modular Product Development Using TRIZ, AI, and VA++
Authors
Marek Mysior
Christian Iniotakis
Dominik Iwan
Copyright Year
2025
DOI
https://doi.org/10.1007/978-3-031-75923-9_16

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