Information support of quality management of manufacturing process / E. I. Gromakov, T. V. Zubkova

Уровень набора: KORUS 2001, The 5fh Korea-Russia International Symposiumon Science and Technology, June 26 - July 3, 2001, Tomsk, Russia, [proceedings], in 3 vol. / Tomsk Polytechnic University = 2001Основной Автор-лицо: Gromakov, E. I., specialist in the field of automatic control, Associate Professor of Tomsk Polytechnic University, Candidate of technical sciences, 1943-, Evgeny IvanovichАльтернативный автор-лицо: Zubkova, T. V.Язык: английский.Резюме или реферат: Information support of a quality control system can be improved via computer processing of control charts. This kind of processing provides imporved operator confidence in technology processes. In addition to statistical methods of quality control we consider the computer analysis of control charts based on fuzzy technology with SCADA tools. An algorithm for diagnostics of violation and an appropriate rule base with fuzzy logic have been developed. Application of the algorithm allows to form logical conclusions about the condition of a technological process, and to judge the degree of influence of its components (man, method, material, machine) on the quality of production.Примечания о наличии в документе библиографии/указателя: [References: 3 tit.].Аудитория: .Тематика: электронный ресурс | труды учёных ТПУ Ресурсы он-лайн:Щелкните здесь для доступа в онлайн
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[References: 3 tit.]

Information support of a quality control system can be improved via computer processing of control charts. This kind of processing provides imporved operator confidence in technology processes. In addition to statistical methods of quality control we consider the computer analysis of control charts based on fuzzy technology with SCADA tools. An algorithm for diagnostics of violation and an appropriate rule base with fuzzy logic have been developed. Application of the algorithm allows to form logical conclusions about the condition of a technological process, and to judge the degree of influence of its components (man, method, material, machine) on the quality of production

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