Analysis of measurement uncertainties in mechanical production and subsequent use for process stability control

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28110%2F24%3A63582379" target="_blank" >RIV/70883521:28110/24:63582379 - isvavai.cz</a>

Result on the web

<a href="https://iopscience.iop.org/article/10.1088/1742-6596/2931/1/012003" target="_blank" >https://iopscience.iop.org/article/10.1088/1742-6596/2931/1/012003</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1088/1742-6596/2931/1/012003" target="_blank" >10.1088/1742-6596/2931/1/012003</a>

Result language

angličtina

Original language name

Analysis of measurement uncertainties in mechanical production and subsequent use for process stability control

Original language description

In the current industrial environment, where quality is a key factor in competitiveness, the measurement and control of the stability of production processes plays a vital role. This work focuses on the analysis of measurement uncertainties in mechanical production and their subsequent use for process stability control. Measurement uncertainties are an inherent part of any measurement system, and their understanding and proper management are necessary to ensure the accuracy and reliability of production processes. The MSA (Measurement Systems Analysis) method enables the assessment of the capability of measurement systems and the identification of sources of variability. Emphasis is placed on the standard uncertainties of types A and B and the ways in which they affect the measurement process. The work also includes a description of the implementation of statistical process control (SPC) and its importance in maintaining a stable production process. SPC makes it possible to continuously monitor production processes and quickly identify deviations, leading to timely corrections and minimization of defects. To achieve these goals, quality tools such as the Ishikawa diagram, histogram, and Pareto diagram are used. This work provides a comprehensive view of the importance of measurement and data analysis in ensuring stability and quality in manufacturing processes.

Czech name

—

Czech description

—

Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

20301 - Mechanical engineering

Project

—

Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2024

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Journal of Physics: Conference Series

ISBN

—

ISSN

1742-6588

e-ISSN

1742-6596

Number of pages

11

Pages from-to

—

Publisher name

Institute of Physics Publishing Ltd.

Place of publication

Bristol

Event location

Tatranská Štrba

Event date

Sep 9, 2024

Type of event by nationality

EUR - Evropská akce

UT code for WoS article

—