APPLICATION OF THE GROSS ERROR ANALYSIS TO DISORDERS IDENTIFICATION IN MANUFACTURING PROCESS—A CASE STUDY

Izabela Dagmara Czabak-Górska () and Aneta Kucińska-Landwójtowicz ()
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Izabela Dagmara Czabak-Górska: Faculty of Production and Logistics Engineering, Department of Production and Services Quality Engineering, Opole University of Technology
Aneta Kucińska-Landwójtowicz: Faculty of Production and Logistics Engineering, Department of Production and Services Quality Engineering, Opole University of Technology

CBU International Conference Proceedings, 2015, vol. 3, issue 0, 158-164

Abstract: The article contains a description of the procedures to be followed in the analysis of the stability of the manufacturing processes based on an Individual Control Chart (XI) and a Moving Range (MR) Control Chart. In the following part of the article, we present the three-sigma rule and the confidence intervals for the average, which enable the elimination of random errors caused by, e.g. an improper conducting of a measurement.Summary of the theoretical considerations is a study case in which survey data from a company, producing car seat frames, are used. The conducted study indicates that the elimination of Gross Error is significant to identify and eliminate the variability of production processes.

Keywords: stability of the processIndividuals Control Chart (IX); Moving Range Control Chart (MR); elimination of Gross Error; Statistical Process Control (SPC) (search for similar items in EconPapers)
Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:aad:iseicj:v:3:y:2015:i:0:p:158-164

DOI: 10.12955/cbup.v3.597

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