Future of Information and Communication Conference (FICC) 2024
4-5 April 2024
Publication Links
IJACSA
Special Issues
Future of Information and Communication Conference (FICC)
Computing Conference
Intelligent Systems Conference (IntelliSys)
Future Technologies Conference (FTC)
International Journal of Advanced Computer Science and Applications(IJACSA), Volume 15 Issue 3, 2024.
Abstract: The caravan industry in China is facing significant challenges, primarily because the mode of caravan travel is relatively niche within the country and the industry as a whole has had a slow start. This has ultimately resulted in a mismatch between the design aesthetics of caravans and the preferences of Chinese consumers. Based on the foundation of understanding user preferences, this study proposes a new design methodology that integrates the Kano model, the Analytic Hierarchy Process (AHP), and TRIZ theory to align with the preferences of Chinese users. Initially, a Kano model is constructed based on the suggestions from experts and users to categorize user needs. Subsequently, the AHP method is employed to reclassify the key needs identified in the Kano model, establish judgment matrices, and develop a scoring system to provide a scientific basis for design decisions. Finally, TRIZ theory is applied to address potential physical and technical contradictions encountered during the design process, thereby developing practical and aesthetically pleasing caravan design solutions.
Jinyang Xu, Xuedong Zhang, Aihu Liao, Shun Yu, Yanming Chen and Longping Chen, “Research on Innovative Design of Towable Caravans Integrating Kano-AHP and TRIZ Theories” International Journal of Advanced Computer Science and Applications(IJACSA), 15(3), 2024. http://dx.doi.org/10.14569/IJACSA.2024.0150399
@article{Xu2024,
title = {Research on Innovative Design of Towable Caravans Integrating Kano-AHP and TRIZ Theories},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2024.0150399},
url = {http://dx.doi.org/10.14569/IJACSA.2024.0150399},
year = {2024},
publisher = {The Science and Information Organization},
volume = {15},
number = {3},
author = {Jinyang Xu and Xuedong Zhang and Aihu Liao and Shun Yu and Yanming Chen and Longping Chen}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.