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IJAT Vol.13 No.4 pp. 517-525
doi: 10.20965/ijat.2019.p0517
(2019)

Paper:

Universal Design Considering Physical Characteristics of Diverse Users

Masato Inoue*,† and Wataru Suzuki**

*Department of Mechanical Engineering Informatics, Meiji University
1-1-1 Higashi-Mita, Tama-ku, Kawasaki, Kanagawa 214-8571, Japan

Corresponding author

**Graduate School of Science and Technology, Meiji University, Kawasaki, Japan

Received:
February 6, 2019
Accepted:
April 17, 2019
Published:
July 5, 2019
Keywords:
universal design, decision-making support, physical characteristics, set-based design, diverse design solutions
Abstract

To achieve a universal design that satisfies diverse user requirements associated with aging and internationalization, designers must make a decision based on diverse user requirements. Designers have generally incorporated average human physical characteristics in their designs. Thus, user limitations are critically important. Traditional design methods often regard engineering and product design as iterative processes based on point values. However, when user information is represented as a point value, the resulting product satisfies only that specific user group and does not necessarily satisfy diverse user groups. This study proposes a universal design method that obtains diversely ranged design solutions for user requirements. The proposed method defines diverse user requirements, design variables, and user characteristics as sets, which range in value. To represent user information accurately, users are classified into numerous groups using classification techniques. Design variables are divided into two types: control and noise. Control factors are designer-controllable variables that are based on design specifications. Noise factors are designer-uncontrollable variables representing user characteristics. To derive a ranged design solution set, designers clarify the relationship between performance and design variables. Ranged solutions satisfying required performance are derived for each group using all relational expressions and ranged variable values. The combinations of divided design variables that cannot satisfy the required performance are eliminated from the design proposal, and the narrowed range of design variables become ranged solutions. The ranged solutions are derived for each group, and the common range of design variables is the ranged solution for all users. This paper chooses the design problem of the strap height of a train as a case study of the proposed universal design method. In this case study, we consider diverse user requirements based on the variability of physical characteristics. This paper discusses the suitability of our proposed approach for obtaining ranged solutions that reflect the physical characteristics of diverse users.

Cite this article as:
M. Inoue and W. Suzuki, “Universal Design Considering Physical Characteristics of Diverse Users,” Int. J. Automation Technol., Vol.13, No.4, pp. 517-525, 2019.
Data files:
References
  1. [1] R. E. Sims, “‘Design for All’: Methods and Data to Support Designers,” Loughborough University, 2003.
  2. [2] K. Nakajima, N. Kawabata, and T. Tatsumi, “The studies on the selling of the universal design goods,” Bulletin of the Faculty of Education, Mie University, Vol.60, pp. 135-151, 2009.
  3. [3] M. Inoue, Y.-E. Nahm, K. Tanaka, and H. Ishikawa, “Collaborative engineering among designers with different preferences: application of the preference set-based design to the design problem of an automotive front-side frame,” Concurrent Engineering: Research and Applications, Vol.21, Issue 4, pp. 252-267, 2013.
  4. [4] D. K. Sobek, A. C. Ward, and J. K. Liker, “Toyota’s principles of set-based concurrent engineering,” Sloan Manag. Rev., Vol.40, No.2, pp. 67-83, 1999.
  5. [5] J. K. Liker, D. K. Sobek, A. C. Ward, and J. J. Cristiano, “Involving suppliers in product development in the United States and Japan: evidence for set-based concurrent engineering,” IEEE Trans. Eng. Manag., Vol.43, No.2, pp. 165-178, 1996.
  6. [6] S. Yamada, T. Yamada, S. Bracke, and M. Inoue, “Upgradable design for sustainable manufacturer performance and profitability and reduction of environmental load,” Int. J. Automation Technol., Vol.10, No.5, pp. 690-698, 2016.
  7. [7] C. Levandowski, M. T. Michaelis, and H. Johannesson, “Set-based development using an integrated product and manufacturing system platform,” Concurrent Engineering: Research and Applications, Vol.22, Issue 3, pp. 234-252, 2014.
  8. [8] A. Al-Ashaab, M. Golob, U. M. Attia, M. Khan, J. Parsons, A. Andino et al., “The transformation of product development process into lean environment using set-based concurrent engineering: A case study from an aerospace industry,” Concurrent Engineering: Research and Applications, Vol.21, Issue 4, pp. 268-285, 2013.
  9. [9] T. McKenney, L. F. Kemink, and D. J. Singer, “Adapting to changes in design requirements using set-based design,” Naval Engineers J., Vol.123, No.3, pp. 67-77, 2011.
  10. [10] J. Sanui, “Visualization of users’ requirements: introduction of the evaluation grid method,” Proc. of 3rd Design & Decision Support in Architecture & Urban Planning Conf., pp. 365-374, 1996.
  11. [11] M. Yumoto, “Decision support method with AHP based on evaluation grid method,” IEEJ Trans. on Electronics, Information and Systems, Vol.129, Issue 11, pp. 2034-2041, 2009.
  12. [12] M. Yumoto, “Decision support method with AHP according to similar preference,” Electronics and Communications in Japan, Vol.100, Issue 5, pp. 51-61, 2017.
  13. [13] L. C. Hall and C. R. Dickerson, “Perceived shoulder moment load during load transfer tasks following a novel, moment-based perception training program,” Int. J. Industrial Ergonomics, Vol.40, No.4, pp. 402-405, 2010.
  14. [14] T. Chihara, T. Izumi, and A. Seo, “Perceived discomfort functions based on joint moment for various joint motion directions of the upper limb,” Applied Ergonomics, Vol.45, No.2, Part B, pp. 308-317, 2014.
  15. [15] T. Chihara, A. Seo, and T. Izumi, “Total perceived discomfort function for upper limbs based on joint moment,” J. Advanced Simulation in Science and Engineering, Vol.1, No.1, pp. 36-50, 2014.
  16. [16] T. Chihara, S. Hoshi, and A. Seo, “Formulation of total perceived discomfort function for entire body in sagittal plane based on joint moment,” Innovation and Supply Chain Management, Vol.9, No.3, pp. 75-82, 2015.
  17. [17] T. Chihara, A. Nozawa, and A. Seo, “Formulation of perceived muscle fatigue based on elbow flexion task,” Mechanical Engineering J., Vol.3, No.4, 2016.
  18. [18] https://www.cc.gatech.edu/isbell/tutorials/rbf-intro.pdf [Accessed February 3, 2019]
  19. [19] A. Alexandridis, E. Chondrodima, and H. Sarimveis, “Cooperative learning for radial basis function networks using particle swarm optimization,” Applied Soft Computing, Vol.49, pp. 485-497, 2016.
  20. [20] J. Kennedy and R. Eberhart, “Particle swarm optimization,” Proc. of 1995 IEEE Int. Conf. on Neural Networks, Vol.4, pp. 1942-1948, 1995.
  21. [21] https://www.mhlw.go.jp/bunya/kenkou/eiyou/dl/h24-houkoku-05.pdf [Accessed February 3, 2019]
  22. [22] http://www.tech.nite.go.jp/human/Application/search/Search.php/ [Accessed February 3, 2019]
  23. [23] H. Suzuki, H. Shiroto, C. Nakagawa, A. Saito, and H. Ohno, “Development and utilization of ride comfort simulator,” Quarterly Report of RTRI, Vol.47, Issue 4, pp. 205-210, 2006.
  24. [24] https://c4e.engin.umich.edu/tools-services/3dsspp-software/ [Accessed April 3, 2019]
  25. [25] K. Jung, O. Kwon, and H. You, “Development of a digital human model generation method for ergonomic design in virtual environment,” Int. J. Industrial Ergonomics, Vol.39, No.5, pp. 744-748, 2009.
  26. [26] A. Matebu, “Design of manual material handling system through computer aided ergonomics: a case study at BDTSC textile firm,” Int. J. for Quality Research, Vol.8, No.4, pp. 557-568, 2014.

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Last updated on Aug. 19, 2019