Robust Ergonomic Virtual Design

  • Stefano Barone
  • Antonio Lanzotti


From the early development phases of a new industrial product, realistic simulations can be performed in a virtual environment to study the human-machine interaction. In a virtual lab, it is possible to perform experiments to assess the ergonomics of the new product using mannequins simulating the human body, and to deal with the problem of anthropometric variation.


Virtual Environment Joint Angle Noise Factor Early Development Phase Main Design Parameter 
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  1. Barone, S., Curcio, A.: A computer-aided design-based system for posture analyses of motorcycles. J. Eng. Des. 15(6), 581–595 (2004)CrossRefGoogle Scholar
  2. Barone, S., Carbone, F., Lanzotti, A.: Progettazione del posto guida di una minicar basata su esperienza del designer e sperimentazione virtuale. In: Proc. Congreso Internacional Conjunto XVII INGEGRAF-XV ADM, Sevilla, Spain, ISBN 84-96377-41-5, 1-3 June (2005)Google Scholar
  3. Barone, S., Fittipaldi, F., Lanzotti, A.: Improving comfort of a new city vehicle by means of parameter design in virtual environment. In: Proc. 1st Annual Conf. European Network for Business and Industrial Statistics, Oslo, Norway, 17-18 Sept. (2001)Google Scholar
  4. Barone, S., Lanzotti, A.: Quality engineering approach to improve comfort of a new vehicle in virtual environment. Proceedings of the ASA, statistical computing section. American Statistical Association, Alexandria, VA (2002)Google Scholar
  5. Barone, S., Lanzotti, A.: On the treatment of anthropometrical noise factors in robust ergonomic design. In: Dall’Idea al Prodotto: La Rappresentazione Come Base per lo Sviluppo e l’Innovazione. Edizioni ETS, Pisa, pp 359–367, ISBN 978-884671841-9 (2007)Google Scholar
  6. Bowman, D.: Using digital human modeling in a virtual heavy vehicle development environment. In: Chaffin, D. (ed.): Proceedings of the Digital Human Modeling Conference. SAE, Munich, pp 343–353 (2001)Google Scholar
  7. Bubb, H., Estermann, S.: Influence of forces on comfort feeling in vehicles. SAE Paper 2000-01-2171 (2000)Google Scholar
  8. Colombo, G., Cugini, U.: Virtual humans and prototypes to evaluate ergonomics and safety. J. Eng. Design 16(2), 195–207 (2005)CrossRefGoogle Scholar
  9. D’Errico, J., Zaino, R.A.: Statistical tolerancing using a modification of Taguchi’s method. Technometrics 30(4), 397–405 (1988)CrossRefGoogle Scholar
  10. Dainoff, M.J.: Ergonomics of seating and chairs. In: Karwowski, W., Marras, W.S. (eds.): Occupational Ergonomics. CRC Press, Boca Raton, FL (2003)Google Scholar
  11. Geuss, H.: Optimizing the product design process by computer aided ergonomics. In: Landau, K. (ed.): Ergonomic Software Tools in Product and Workplace Design. Verlag ERGON GmbH, Stuttgart (2000)Google Scholar
  12. Hanson, L., Sperling, L.. Akselsson, R.: Preferred car driving posture using 3-D information. Int. J. Vehicle Design 42(1–2), 154–169 (2006)CrossRefGoogle Scholar
  13. Johansson, P., Chakhunashvili, A., Barone, S., Bergman, B.: Variation mode and effect analysis: a practical tool for quality improvement. Qual. Reliab. Eng. Int. 22(8), 865–876 (2006)CrossRefGoogle Scholar
  14. Kuhnt, S., Erdbrügge, M.: A strategy of robust parameter design for multiple responses. Stat. Model. 4, 249–264 (2004)MATHCrossRefMathSciNetGoogle Scholar
  15. Lanzotti, A.: Adjustment design of a minicar driving seat. (unpublished research report). Department of Aerospace Engineering, University of Naples Federico II, Naples (2008)Google Scholar
  16. Lanzotti, A.: Robust design of car packaging in virtual environment. Int. J. Interact. Des. Manufact. 2(1), 39–46 (2008)CrossRefGoogle Scholar
  17. Lanzotti, A., Vanacore, A.: An efficient and easy discretizing method for the treatment of noise factors in robust design. Asian J. Qual. 8(3), ISSN 1598-2688 (2007)Google Scholar
  18. Levy, M.S., Wen, D.: BLINEX: A bounded asymmetric loss function with application to Bayesian estimation. Commun Stat Theory Methods 30, 147–153 (2001)MATHCrossRefMathSciNetGoogle Scholar
  19. Maghsoodloo, S., Li, M.C.: Optimal asymmetric tolerance design. IIE Trans. 32, 1127–1137 (2000)Google Scholar
  20. Murphy, T.E.. Tsui, K.-L. Allen. J.K.: A review of robust design methods for multiple responses. Res. Eng. Des. 16, 118–132 (2005)CrossRefGoogle Scholar
  21. Park, S.H: Robust Design and Analysis for Quality Engineering. Chapman & Hall, London (1996)Google Scholar
  22. Phadke, S.M.: Quality Engineering Using Robust Design. Prentice-Hall, Upper Saddle River, NJ (1989)Google Scholar
  23. Pheasant, S.: Bodyspace: Anthropometry, Ergonomics and the Design of the Work. Taylor & Francis, London (1996)Google Scholar
  24. Pignatiello, J.: Strategies for robust multiresponse quality engineering. IIE Trans. 25(3), 5–15 (1993)CrossRefGoogle Scholar
  25. Porter, M., Gyi, D.E.: Exploring the optimum posture for driver comfort. Int. J. Vehicle Des. 19(3), 255–266 (1998)Google Scholar
  26. Reed, M.P., Flannagan, C.A.C.: Anthropometric and postural variability: limitations of the boundary manikin approach. SAE Paper 2000-01-2172 (2000)Google Scholar
  27. Reed, M.P., Manary, M.A., Flannagan. A.C., Schneider, W.L.: New concept in vehicle interior design using aspect. SAE Tech. Paper 1999-01-0967 (1999)Google Scholar
  28. Reed, M.P., Manary, M.A., Flannagan A.C., Schneider, W.L.: Comparison of methods for predicting automotive driver posture. SAE Tech. Paper 2000-01-2180 (2000)Google Scholar
  29. Robertson, S.A., Minter, A.: A study of some anthropometric characteristics of motorcycle riders. Appl. Ergonom. 27(4), 223–229 (1996)CrossRefGoogle Scholar
  30. Seo, H.S., Kwak, B.M.: Efficient statistical tolerance analysis for general distributions using three-point information. Int. J. Prod. Res. 40(4), 931–944 (2002)MATHCrossRefGoogle Scholar
  31. Spiring. F.A., Yeung, A.S.: A general class of loss functions with industrial applications. J. Qual. Technol. 30(2), 152–162 (1998)Google Scholar
  32. Vogt, C., Mergl, C., Bubb, H.: Interior layout design of passenger vehicles with RAMSIS. Hum. Factors Ergonom. Manufact. 15(2), 197–212 (2005)CrossRefGoogle Scholar
  33. Taguchi, G.: System of Experimental Design. Kraus, New York (1987)Google Scholar
  34. Wu, C.F.J., Hamada, M.: Experiments. Wiley, New York (2000)Google Scholar

Copyright information

© Springer 2009

Authors and Affiliations

  • Stefano Barone
    • 1
  • Antonio Lanzotti
    • 2
  1. 1.Department of Technology, Production and Managerial EngineeringUniversity of PalermoPalermo
  2. 2.Department of Aerospace EngineeringUniversity of NaplesNaplesItaly

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