Among TRIZ (Theory of Inventive Problem Solving) methods that are applied to help solve design problems, ARIZ (Algorithm for Inventive Problem Solving) is considered to be the most powerful and is able to solve problems with “minimal changes to the system”. However, the potential solutions derived from ARIZ are solution concepts that are general and are dependent on the engineers to further define these solution concepts into specific solutions. Shape grammars have been used to describe the shape of specific solution concepts or products with the intention to allow engineers to explore and generate a variation of specific solutions. This research work explores the application of a novel framework that combines ARIZ with shape grammars to facilitate and help engineers to translate the general solution concepts into a visualisation of specific solution concepts.
CITATION STYLE
Ng, K. W., Ang, M. C., Cher, D. T., Ahmad, S. A., & Abdul Wahab, A. N. (2019). Combining ARIZ with shape grammars to support designers. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11870 LNCS, pp. 305–317). Springer. https://doi.org/10.1007/978-3-030-34032-2_28
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