Open AccessUse of Statistical Methods in Quality Control
Author(s) -
Miroslav Prístavka,
Marián Bujna
Publication year - 2013
Publication title -
acta technologica agriculturae
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.432
H-Index - 8
eISSN - 1338-5267
pISSN - 1335-2555
DOI - 10.2478/ata-2013-0009
Subject(s) - quality assurance , quality (philosophy) , task (project management) , quality management system , control (management) , quality management , quality policy , work (physics) , computer science , quality audit , process management , risk analysis (engineering) , statistical process control , production (economics) , engineering management , operations management , management system , management science , business , engineering , systems engineering , audit , artificial intelligence , process (computing) , accounting , epistemology , mechanical engineering , philosophy , external quality assessment , operating system , economics , macroeconomics
More and more organisations are beginning to realise how important is it to implement a quality management system. Its main task is to rejuvenate the given processes in production. Problem solving is systemic within quality assurance procedures of an organisation. This work describes a quality management system according to ISO 9001 and statistical methods in quality management. The theoretical part contains the characteristics and description of the system listed above. The practical part shows the use of knowledge in the organisation to solve problems.