Information support of quality management of manufacturing process

Author

Gromakov, Evgeny I.

Author_Institution

Cybern. Center, Tomsk Polytech. Univ.

Volume

1

fYear

2001

fDate

26 Jun-3 Jul 2001

Firstpage

66

Abstract

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

Keywords

SCADA systems; fuzzy logic; manufacturing processes; production engineering computing; quality management; SCADA tools; computer processing; control charts; diagnostics violations; fuzzy logic; information support; manufacturing process; quality control system; quality management; rule base; statistical methods; Application software; Control charts; Fuzzy control; Fuzzy logic; Internet; Manufacturing processes; Monitoring; Production; Quality control; Quality management;

fLanguage

English

Publisher

ieee

Conference_Titel

Science and Technology, 2001. KORUS '01. Proceedings. The Fifth Russian-Korean International Symposium on

Conference_Location

Tomsk

Print_ISBN

0-7803-7008-2

Type

conf

DOI

10.1109/KORUS.2001.975057

Filename

975057