TY  - JOUR
T1  - A Proof-of-Concept for Parameter Manipulation in TRIZ: Automotive Case Stud
AU  - Altun, Koray
PY  - 2025
DA  - June
Y2  - 2025
DO  - 10.30939/ijastech..1592053
JF  - International Journal of Automotive Science And Technology
JO  - IJASTECH
PB  - Otomotiv Mühendisleri Derneği
WT  - DergiPark
SN  - 2587-0963
SP  - 166
EP  - 173
VL  - 9
IS  - 2
LA  - en
AB  - This paper provides a proof-of-concept for using the Theory of Inventive Problem Solving (TRIZ) methodologies, focusing on parameter deployment and manipulation to solve physical contradictions in automotive seat design. While parameter deployment has been explored in theory, practical applications remain limited, and its potential has not been widely demonstrated. This study addresses this gap by showing how it can resolve the conflict between comfort during normal driving and safety during collisions. Two strategies are introduced: the Transfer-Oriented Approach (TOA) uses a single air bladder system to adjust seat firmness dynamically, ensuring comfort in regular driving and firmness during crashes. The Transfer-Oriented Ap-proach with Adjustment (TOAA) extends this by combining air bladder systems for comfort and shape memory materials for safety, allowing both to work independently. These methods are innovative because they move beyond classical TRIZ principles by integrating external components, achieving dual functionality without compromising performance. This paper contributes to TRIZ literature by providing a practical example of how parameter deployment can be applied in automotive design. It also serves as a guide for engineers and researchers interest-ed in using TRIZ to tackle similar design challenges. By validating the feasibility of this approach, the study opens up possibilities for exploring its use in other areas of automotive design such as climate control systems or crash energy management. The findings highlight how systematic innovation can transform theoretical methods into real-world solutions, offering practical insights for future applications within the automotive industry.
KW  - Automotive seat design
KW  - Parameter transfer
KW  - TRIZ - Theory of inventive problem solving
CR  - [1]	Altun, K, Özcan Berber, R, Kurt, R, Bektaş, E, Turan, S, Korkmaz, V. Front seat development for autonomous driving: A case of innovative product development. Journal of the Faculty of Engineering and Architectures of Gazi University. 2022; 37 (3), 1441–1452. https://doi.org/10.17341/gazimmfd.936325
CR  - [2]	Mistarihi, MZ, Al-Omari, AA, Al-Dwairi, AF. Designing and simulation assessment of a chair attachment air blowing meth-od to enhance the safety of prolonged sitting. Biomimetics. 2023; 8, 194. https://doi.org/10.3390/biomimetics8020194
CR  - [3]	Mitsuya, R, Kato, K, Kou, N, Nakamura, T, Sugawara, K, Dobashi, H. Analysis of body pressure distribution on car seats by using deep learning. Applied Ergonomics. 2019; 75, 283-287. https://doi.org/10.1016/j.apergo.2018.08.023
CR  - [4]	Jiang, X, Meng, X. A structural design of a child seat based on morphological elements and ergonomics. Comput. Intel. and Neuroscience. 2022, 1-8. https://doi.org/10.1155/2022/1792965
CR  - [5]	Kim, D. Analysis of automotive seating systems in automated driving vehicles according to the changes of the interior envi-ronment. Master thesis of public administration. Graduate School of Engineering Practice, Seoul National University. 2021; Seoul, South Korea.
CR  - [6]	Dillen, N, Ilievski, M, Law, E, Nacke, LE, Czarnecki, K, Schneider, O. Keep calm and ride along: Passenger comfort and anxiety as physiological responses to autonomous driving styles. In Proceedings of the 2020 CHI conference on human factors in computing systems. 2020; 1-13.
CR  - [7]	Sauer, V, Mertens, A, Groß, S, Heitland, J, Nitsch, V. Design-ing automated vehicle interiors for different cultures: Evi-dence from China, Germany, and the United States. Ergonom-ics in Design. 2022; 30(3), 16-22. https://doi.org/10.1177/1064804620966158
CR  - [8]	Sheu, DD, Yeh, R. Parameter Deployment and Separation for Solving Physical Contradictions. 18th TRIZ Future Confer-ence. Springer International Publishing. 2018; Strasbourg, France.
CR  - [9]	Steinwall, J, Viippola, P. Concept development of a light-weight driver’s seat structure and adjustment systems: Com-bining optimization and modern product development meth-ods to achieve a lightweight design. Master thesis in Product Development. Chalmers University of Technology. 2014; Gothenburg, Sweden.
CR  - [10]	Altshuller, G. And suddenly the inventor appeared: TRIZ, the theory of inventive problem solving. Worcester: Technical In-novation Center. 1996.
CR  - [11]	Terninko, J. Systematic Innovation: An introduction to TRIZ (Theory of Inventive Problem Solving). 1998; Boca Raton: CRC Press.
CR  - [12]	Coatanéa, E, Nosiri, S, Mokammel, F, Christophe, F, Calonius, O, Ryynänen, L. Contradiction graph search: A tool for dis-covering for physical contradictions. Proceedings Tools and Methods of Competitive Engineering TMCE. 2014; 993-1006.
CR  - [13]	Mann, D., Domb, E. Business Contradictions: 1) Mass Cus-tomization. TRIZ Journal. 1999; December.
CR  - [14]	Mann, D, Stratton, R. Physical contradictions and evaporating clouds. TRIZ Journal. 2000; April, 1-12.
CR  - [15]	Gadd, K. TRIZ for engineers: Enabling inventive problem solving. John Wiley & Sons. 2011; United Kingdom.
CR  - [16]	Sheu, DD, Chiu, MC, Cayard, D. The 7 pillars of TRIZ phi-losophies. Computers & Industrial Engineering. 2020; 146, 106572.
CR  - [17]	Sheu, DD. Parameter deployment and manipulation: An over-arching approach for identifying and solving contradictions. The 15th International Conference & Global Competition on Systematic Innovation (ICSI & GCSI). 2024; Bursa, Turkey.
UR  - https://doi.org/10.30939/ijastech..1592053
L1  - https://dergipark.org.tr/en/download/article-file/4397161
ER  -