An assessment of the robustness of gauge repeatability and reproducibility analysis in automotive components

Measurement system analysis is a vital component of many continuous improvement initiatives. In the manufacturing industry, variation in a measurement system is a key characteristic to be assessed and improved upon. Measurement systems are commonly evaluated by performing a gauge repeatability and reproducibility (gauge R&R) study, which analyses any variations between measurements by a gauge (repeatability) and between results obtained by different appraisers (reproducibility). To determine the preferred method for gauge R&R analysis; average and range, and two-way analysis of variance were applied to data taken from four real case studies from the automotive industry (a stabilizer clamp bracket, a coated steel sheet, a steel sheet body panel, and a brake disc). Possible differences in gauge R&R characteristics were compared, and residual diagnosis was used to discern violations in two-way ANOVA. To develop a robust road map for gauge R&R analysis, interactions between gauge R&R parameters, residual diagnosis, and number of distinct categories were analysed.

[1]  Yoram Koren,et al.  Stream-of-Variation Theory for Automotive Body Assembly , 1997 .

[2]  B. W. Shiu,et al.  The dimensional quality of sheet metal assembly with welding-induced internal stress , 2000 .

[3]  Robert V. Brill,et al.  Applied Statistics and Probability for Engineers , 2004, Technometrics.

[4]  Connie M. Borror,et al.  Some relationships between gage R&R criteria , 2008, Qual. Reliab. Eng. Int..

[5]  Ander Azkarate,et al.  New Developments in Lathes and Turning Centres , 2009 .

[6]  Hans Nørgaard Hansen,et al.  Comparison of Coordinate Measuring Machines using an Optomechanical Hole Plate , 2005 .

[7]  Gwidon Stachowiak,et al.  Review of automotive brake friction materials , 2004 .

[8]  Donald J. Wheeler,et al.  An Honest Gauge R&R Study , 2009 .

[9]  Jiahong Wang.  ASSESSING MEASUREMENT SYSTEM ACCEPTABILITY FOR PROCESS CONTROL AND ANALYSIS USING GAGE R&R STUDY , 2004 .

[10]  A Osma,et al.  A statistical approach to comparing wheel hub forging processes , 2009 .

[11]  Roger Sauter,et al.  Introduction to Probability and Statistics for Engineers and Scientists , 2005, Technometrics.

[12]  C. S. Ackermann.  Evaluating Destructive Measurements using Gage R & R , 1993, Proceedings. IEEE/SEMI Advanced Semiconductor Manufacturing Conference and Workshop.

[13]  Huairui Guo,et al.  ANOVA Method for Variance Component Decomposition and Diagnosis in Batch Manufacturing Processes , 2003 .

[14]  David Probert,et al.  Technology roadmapping—developing a practical approach for linking resources to strategic goals , 2003 .

[15]  A Weckenmann,et al.  Monitoring coordinate measuring machines by calibrated parts , 2005 .

[16]  D. Montgomery,et al.  Design and analysis of gauge R&R studies : making decisions with confidence intervals in random and mixed ANOVA models , 2005 .

[17]  A. Petenate,et al.  Performance of three affective methods and diagnosis of the ANOVA model , 2000 .

[18]  Forrest W. Breyfogle,et al.  Implementing Six Sigma: Smarter Solutions Using Statistical Methods , 1999 .

[19]  Douglas C. Montgomery,et al.  GAUGE CAPABILITY AND DESIGNED EXPERIMENTS. PART I: BASIC METHODS , 1993 .

[20]  H.-L. Lin,et al.  Modelling and optimization of the resistance spot welding process via a Taguchi—neural approach in the automobile industry , 2008 .

[21]  Zvonko Sajfert,et al.  Determination of passenger car interior space for foot controls accommodation , 2009 .

[22]  J Antony,et al.  Gauge Capability Analysis: classical versus ANOVA. , 1999, Quality assurance.

[23]  Milo Koretsky.  Introducing Che Sophomores To Measurement System Analysis And Analysis Of Variance Through Experiential Learning , 2005 .

[24]  Yan Chen,et al.  A New Method for Fitting Car Doors Allowing for the Thermal Effects of Welding , 2006 .

[25]  Sadigh Raissi.  Developing New Processes and Optimizing Performance Using Response Surface Methodology , 2009 .

[26]  Connie M. Borror,et al.  A Review of Methods for Measurement Systems Capability Analysis , 2003 .

[27]  I. Petrick,et al.  Technology roadmapping in review: A tool for making sustainable new product development decisions , 2004 .

[28]  J. Reid.  Experimental Design and Data Analysis for Biologists , 2003 .

[29]  M. Jeya Chandra,et al.  Statistical Quality Control , 2001 .

[30]  D. Montgomery,et al.  GAUGE CAPABILITY ANALYSIS AND DESIGNED EXPERIMENTS. PART II: EXPERIMENTAL DESIGN MODELS AND VARIANCE COMPONENT ESTIMATION , 1993 .

[31]  Afrooz Moatari Kazerouni.  Design and Analysis of Gauge R&R Studies: Making Decisions Based on ANOVA Method , 2009 .

[32]  Connie M. Borror.  The certified quality engineer handbook , 2008 .

[33]  R R Smith,et al.  GAUGE REPEATABILITY AND REPRODUCIBILITY STUDIES AND MEASUREMENT SYSTEM ANALYSIS: A MULTIMETHOD EXPLORATION OF THE STATE OF PRACTICE , 2007 .

[34]  Jeroen de Mast,et al.  Measurement System Analysis for Bounded Ordinal Data , 2004 .

[35]  D.恩格,et al.  Vehicle suspension system and method of use , 2012 .

[36]  Z.-Q. Lin,et al.  Optimum design of an automotive inner door panel with a tailor-welded blank structure , 2008 .

[37]  Robert Phaal,et al.  Technology roadmapping—A planning framework for evolution and revolution , 2004 .

[38]  Behrouz Homayoun Far,et al.  A General Purpose Software Evaluation System , 2008, 2008 IEEE International Conference on Information Reuse and Integration.

[39]  Robert Shaw,et al.  Use of factorial designs to optimize animal experiments and reduce animal use. , 2002, ILAR journal.

[40]  D. Ceglarek,et al.  Time-Based Competition in Multistage Manufacturing: Stream-of-Variation Analysis (SOVA) Methodology—Review , 2004 .

[41]  Oliver M. O’Reilly,et al.  Automotive disc brake squeal , 2003 .

[42]  Karl D. Majeske,et al.  Identifying Sources of Variation in Sheet Metal Stamping , 2003 .

[43]  Thomas P. Ryan,et al.  Modern Engineering Statistics , 2007 .

[44]  John D. Fieldhouse,et al.  The measurement of the absolute displacement of a noisy disc brake , 2008 .

[45]  Arno Jambor,et al.  New cars — new materials , 1997 .

[46]  Huajiang Ouyang,et al.  Numerical analysis of automotive disc brake squeal: a review , 2005 .

[47]  S. Jack Hu,et al.  A method for optimal design of automotive body assembly using multi-material construction , 2008 .

[48]  William G. Marchal,et al.  Statistical techniques in business and economics , 1991 .