Abstract
This paper presents a survey of the research on techniques for the statistical control of industrial multiple-stream processes—processes in which the same type of item is manufactured in several streams of output in parallel, or still continuous processes in which several measures are taken at a cross section of the product. The literature on this topic is scarce, with few advances since 1950, and experiencing a resurgence from the mid-1990s. Essential differences in the underlying models of works before and after 1995 are stressed, and issues for further research are pointed out.
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Acknowledgements
This work has been supported by the CNPq (the Brazilian Council for Scientific and Technological Development), project number 307453/2011-1. I thank Bill Woodall for his comments on the first version of this paper, and for giving me the idea of writing it, some time ago.
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Epprecht, E.K. (2015). Statistical Control of Multiple-Stream Processes: A Literature Review. In: Knoth, S., Schmid, W. (eds) Frontiers in Statistical Quality Control 11. Frontiers in Statistical Quality Control. Springer, Cham. https://doi.org/10.1007/978-3-319-12355-4_4
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DOI: https://doi.org/10.1007/978-3-319-12355-4_4
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