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

Izabela Dagmara Czabak-Górska,Aneta Kucińska-Landwójtowicz

doi:10.12955/cbup.v3.597

Izabela Dagmara Czabak-Górska, Aneta Kucińska-Landwójtowicz

Open Access

https://doi.org/10.12955/cbup.v3.597

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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.

Highlights

The stability analysis of manufacturing processes is a key aspect of the continuous improvement of the product quality
For the process analysis being used in the Statistical Process Control (SPC), in which the main task is to capture the results, it is significantly distinctive from the rest of the measurements conducted
We propose a procedure during the analysis of signs appearing on a Control Chart, which provides proof of disorders concerning the manufacturing process based on the Gross Errors analysis, which can be used in practice by a preliminary analysis of the reasons for the appearance of unusual behavior of the process

Summary

Introduction

The stability analysis of manufacturing processes is a key aspect of the continuous improvement of the product quality. For the process analysis being used in the Statistical Process Control (SPC), in which the main task is to capture the results (at various stages of production), it is significantly distinctive from the rest of the measurements conducted. We base our considerations on a case study, which is an extension of the research, conducted by Lorenc & Czabak-Górska (2014), concerning the process stability analysis.

Results

Conclusion