| Authors |
Mikheyev Mykhail Yurievich, doctor of technical sciences, professor, head of sub-department of informational technologies and systems, Penza State Technological University (440039, 1a/11 Baydukov passage / Gagarin street, Penza, Russia), E-mail: rector@penzgtu.ru
Prokofev Oleg Vladimirovich, candidate of technical sciences, associate professor, sub-department of informational technologies and systems, Penza State Technological University (440039, 1a/11 Baydukov passage / Gagarin street, Penza, Russia), E-mail: prokof_ow@mail.ru
Tyurin Mihail Vladimirovich, candidate of technical sciences, senior researcher, Scientific Research Institute of Physical Measurements (440026, 8/10, Volodarskogo street, Penza, Russia), E-mail: info@niifi.ru
Yaroslavtseva Daria Aleksandrovna, рostgraduate student, Penza State University (440026, 40 Krasnaya street, Penza, Russia); design engineer, Scientific Research Institute of Physical Measurements (440026, 8/10, Volodarskogo street, Penza, Russia), E-mail: levik_92@mail.ru
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| Abstract |
Background. One of the methods for implementing a product quality system in mass production is the analysis of control charts. In addition to checking whether a controlled indicator is within tolerable limits and searching for periodic fluctuations in the indicator, the analysis procedure includes the identification and analysis of the trend. The work objective includes further development of the product quality system in mass production.
Materials and methods. Supplementary procedures for analyzing a short time series formed when analyzing a quality control map have been applied. Comprehensive algorithm to expose reconfiguration in time series has been developed.
Results. It has been illustrated that the analysis procedure includes checking the location of most points on one side of the center line, which means the appearance of the additive component of the trend. The number of observations used in the analysis process is from 7 to 100 points located on the control chart in a row. The authors proposed to introduce additions to the procedure for analyzing a short time series formed when analyzing a quality control map.
Conclusions. The following availabilities have been presented: informative qualitative conclusions based on quantitative forecast, overall process automation, elimination of expert analysis expected under prompt response to the incidents that caused reconfiguration in time series. The abovementioned procedures applied to the quality control map can be particularly useful when making policy decisions relative to quality system of the items in mass production.
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