Design to Process Capabilities: challenges for the use of Process Capability Databases (PCDBs) in development

To foster the use of corresponding databases and to stimulate further research, this paper gives an overview about the scope of potential applications for a PCDB in product development. Furthermore, the expected manufacturing accuracy of specific product characteristics/features is discussed. For the generalization of measurement data, a DOE (Design of Experiments)-based approach is proposed to identify influencing factors related to the production accuracy of each geometric feature, using the example of metal shear forming processes.

[1]  Kevin Delaney,et al.  Design improvement using process capability data , 2009 .

[2]  Jhareswar Maiti,et al.  A review on dimensional tolerance synthesis: paradigm shift from product to process , 2012 .

[3]  Matthias Kleiner,et al.  Optimisation of the shear forming process by means of multivariate statistical methods , 2005 .

[4]  Anna C. Thornton,et al.  Process Capability Database Usage In Industry: Myth vs. Reality , 1999 .

[5]  Trevor A. Dean,et al.  A review of spinning, shear forming and flow forming processes , 2003 .

[6]  Martha M. Gardner Implementing Six Sigma: Smarter Solutions Using Statistical Methods , 2000, Technometrics.

[7]  Sandro Wartzack,et al.  Process-oriented tolerancing - A discrete geometry framework , 2013 .

[8]  Tobias EIFLER,et al.  A classification of the industrial relevance of robust design methods , 2013 .

[9]  Mariano Ruiz Espejo,et al.  Design of Experiments for Engineers and Scientists , 2006, Technometrics.

[10]  Ida Gremyr,et al.  Principles of robust design methodology , 2008, Qual. Reliab. Eng. Int..

[11]  Vijay Srinivasan Computational Metrology for the Design and Manufacture of Product Geometry: A Classification and Synthesis , 2007, J. Comput. Inf. Sci. Eng..

[12]  Martin Ebro,et al.  The Foundation for Robust Design: Enabling Robustness Through Kinematic Design and Design Clarity , 2012 .

[13]  Daniel C. Kern Forecasting manufacturing variation using historical process capability data : applications for random assembly, selective assembly, and serial processing , 2003 .