Abstract
Long-term success of todays manufacturing enterprises, which are encountering unprecedented challenges, is dependent on balancing the human factors with the manufacturing technology and other business considerations — this is over and above ergonomics. A model is needed to provide insights into the sensitivities of the manufacturing system, and to this end a framework has been developed which is valid for different perspectives and environments using Systems Analysis methods. By considering variables such as product diversity and complexity, a qualitative/quantitative model was developed to capture their impact in a manufacturing system. This model will complement other design tools, as the goal is to highlight sensitivities in the design stage. A simple example is presented illustrating the product complexity index model. The focus is on the robustness and usability of a product with the robustness and usability of the manufacturing process.
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References
Tichy N.M., Sherman, S., Control Your Destiny or Someone Else Will, HarperBusiness, 1993.
Wognum P.M., Designers in Organizations, Proceedings of DETC’02 ASME Design Engineering Technical Conferences and Computer and Information in Engineering Conference, 2002.
Feldman K., Slama S., Highly Flexible Assembly–Scope and Justification, Annals of the CIRP, Volume 50, No. 2, pp.489–498, 2001.
Skinner W., Manufacturing in the Corporate Strategy, John Wiley and Sons, 1978.
Herrmann J.W., Schmidt L.C., Viewing Product Development as a Decision Production System, Proceedings of DETC’02 ASME Design Engineering Technical Conferences and Computer and Information in Engineering Conference, 2002.
Bernard A., Hasan R., Working Situation Model as the Base of Life Cycle Modelling of Socio-Technical Production Systems, Proceedings of 2002 International CIRP Design Seminar, 2002.
Yelle L.E., The Learning Curve: Historical Review and Comprehensive Survey, Decision Sciences, Vol. 10, pp. 302–328, 1979.
Yin J.Z., Relating Learning Capability to the Success of Computer-Integrated Manufacturing, Technological Forecasting and Social Change, Volume: 69, Issue: 1, pp. 53–70, 2001.
Gollop F.M., Monahan J.L., A Generalized Index of Diversification: Trends in U.S. Manufacturing, The Review of Economics and Statistics, pp. 318–330, 1991.
Cooper W.W., Sinha K.K., Sullivan R.S., Measuring Complexity in High Technology Manufacturing: Indexes for Evaluation, Interfaces, pp. 38–48, 1992.
Guenov M.D., Complexity and Cost Effectiveness Measures for Systems Design, 2nd International Conference of the Manufacturing Complexity Network, pp. 455–466, 2002.
Corbett L.M., Brocklesby J., Campbell-Hunt C., Thinking and Acting: complexity management for a sustainable business, 2nd International Conference of the Manufacturing Complexity Network, pp. 83–96, 2002.
Bainbridge A.F., Making Things Simpler: Management in Complexity, 2nd International Conference of the Manufacturing Complexity Network, pp. 403–410, 2002.
Suh N.P., Axiomatix Design: Advances and Applications, Oxford University Press, 2001.
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© 2004 Springer Science+Business Media Dordrecht
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Urbanic, R.J., Elmaraghy, W. (2004). Modelling of Participatory Manufacturing Processes. In: Tichkiewitch, S., Brissaud, D. (eds) Methods and Tools for Co-operative and Integrated Design. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-2256-8_28
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DOI: https://doi.org/10.1007/978-94-017-2256-8_28
Publisher Name: Springer, Dordrecht
Print ISBN: 978-90-481-6536-0
Online ISBN: 978-94-017-2256-8
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