Statistical Process Control (SPC) has been based on sampling because of the difficulty of data collection and data analysis. However, with automated dimensional measurement systems, every part produced can be measured, resulting in 100 % measurement. The impact of 100 % measurement data on Statistical Process Control in three areas is presented using case studies from an automobile body assembly process. These areas area: (1) Process monitoring and surveillance; (2) Process parameter identification; and (3) Process variation reduction. Six cases are illustrated. They include: (1) sporadic jumps, (2) sustained mean shift, (3) mean shift detection using Prediction Error Analysis (PEA), (4) multivariate analysis, (5) modeling by exponential smoothing, and (6) variation reduction in side frame subassembly.


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    Title :

    Impact of 100 % in-process measurement on statistical process control (SPC) in automobile body assembly


    Additional title:

    Einfluß der 100 % Teilemessung während der Fertigung auf die statistische Prozeßkontrolle bei der Karosseriemontage


    Contributors:
    Wu, S.M. (author) / Hu, S. (author)


    Publication date :

    1990


    Size :

    16 Seiten, 17 Bilder, 2 Tabellen, 20 Quellen


    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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