Simulation modeling of quality assurance processes in an industrial plant

ПОДЕЛИТЬСЯ С ДРУЗЬЯМИ
Authors


applicant
Russia, Kazan State Technical University
vodolazhskiy@inbox.ru


Ph.D., Associate Professor
Russia, Kazan State Technical University

Abstract

Quality management and the need for continuous improvement requires the development of methods of analysis and diagnostic parameters. The use of simulation techniques and statistical quality control methods will provide the basis for process control of industrial enterprises.

Keywords

quality management, statistical quality control methods, modeling simulation.

Рекомендуемая ссылка

Vodolazhsky Arthur R. , Gumerov Anwar Vazykhovich
Simulation modeling of quality assurance processes in an industrial plant// Современные технологии управления. ISSN 2226-9339. – #11 (35). Номер статьи: 3502. Дата публикации: . Режим доступа: http://sovman.ru/en/article/3502/

Full article text is available only in Russian.
Please select from the menu Russian language and continue reading.


References

  1. Shestakov, A. L. Purpose QMS and its processes [Naznachenie SMK i ee protcessov]. Methods of Quality Management. 2010. N 1. S. 10-13.
  2. Vasilevskii, S. N. Measurement QMS processes in construction [Izmerenie protcessov SMK v stroitelstve]. Methods of Quality Management.  2010.  N 2. pp. 41-45.
  3. Uiler D., Chambers D. Statistical Process Control : Business Optimization using Shewhart control charts [Statisticheskoe upravlenie protcessami: Optimizatciia biznesa s ispolzovaniem kontrolnykh kart Shukharta]. Trans. from English. Moscow: Alpina Business Books, 2009. 409 p.
  4. Deming E. Out of the crisis : A new paradigm of managing people , systems and processes [Vykhod iz krizisa: Novaia paradigma upravleniia liudmi, sistemami i protcessami]. Trans. from English. MA: Harvard Business Review, 2007. 370.