Maturity Determination of New Forming Processes Considering Uncertain Indicator Values

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The development of new forming processes primarily aims for increasing the process robustness and shortening the process chain. With the development of the novel Sheet-Bulk Metal Forming, cause-effect relationships are to be parameterized optimally and the economic efficiency of the manufacturing process is to be improved. The extensive and comprehensive development tasks often lead to an intransparent development status. Hence, operational and strategic decisions - particularly in the early development stages - are often made on the basis of subjective criteria and a high information uncertainty. This often results in wrong decisions as well as subsequent cost-intensive modifications in the design of expensive forming tools and forming machines. Based on a designed maturity method relevant indicators for the early maturity assessment and thus cost-reduced improvement of the development status of new forming processes are defined in this paper. The maturity here reflects the phase dependent development status. By providing a uniform basis of maturity indicators a comparable evaluation of the development status becomes enabled. The validity of the maturity assessment is enhanced by considering the information uncertainty by use of Fuzzy Logic. An exemplary maturity determination is performed within the development of the Sheet-Bulk Metal Forming.

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97-102

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February 2012

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] M. Merklein, J. Koch, T. Schneider, S. Opel and U. Vierzigmann: Int. J. of Mat. Form. Vol. 1 (2010), pp.347-350.

Google Scholar

[2] A. Giapoulis: Einsatz von Methoden zur Produktentwicklung in der industriellen Praxis, in: VDI Berichte 1558, edited by The Association of German Engineers (VDI), Düsseldorf (2000), p.1–9.

Google Scholar

[3] J. E. Ross and S. Perry: Total quality management: text, cases, and readings (St. Lucie Press, United States of America 1999).

Google Scholar

[4] A. Weckenmann and G. Akkasoglu, in: Maturity Method for the Development of Metal Forming Processes considering Fuzzy Input Parameter, in: 6th DIEMOLD 2011, edited by M. Akkök et al., Ankara, Turkey (2011), pp.9-15.

Google Scholar

[5] J. vom Brocke: Referenzmodellierung - Gestaltung und Verteilung von Konstruktionsprozessen (Logos Verlag, Germany 2003).

Google Scholar

[6] K. M. Eksioglu: Modélisation de la dépendence contextuelle des concepts flous: la structure SFC (National Library of Canada, Canada 2000).

Google Scholar

[7] A. Weckenmann, P.F. Brenner and G. Akkasoglu, in: A comprehensive approach for a reference model based maturity method for development of new metal forming processes, in: Proceedings of 13th International QMOD conference on Quality and Service Sciences ICQSS (2010).

Google Scholar

[8] ISO/IEC 15504: Software Engineering - Process Assessment.

Google Scholar

[9] C.V. Altrock and B. Krause: Multi-criteria decision-making in German automotive industry using fuzzy logic, in: Fuzzy Sets and Systems Vol. 3 (1994) 63, pp.375-380.

DOI: 10.1016/0165-0114(94)90223-2

Google Scholar

[10] L. Ophey: Entwicklungsmanagement: Methoden in der Produktentwicklung (Springer, Germany 2005).

Google Scholar