Title :
Information support of quality management of manufacturing process
Author :
Gromakov, Evgeny I.
Author_Institution :
Cybern. Center, Tomsk Polytech. Univ.
fDate :
26 Jun-3 Jul 2001
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;
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
DOI :
10.1109/KORUS.2001.975057
