Statistical control of the production process of rolled products-Reference-Cited by-同舟云学术

Statistical control of the production process of rolled products

Published:2018-09-01 Issue:20 Volume:20 Page:26-31
ISSN:2353-7779
Container-title:Production Engineering Archives
language:en
Short-container-title:

Author:

Knop Krzysztof¹

Affiliation:

1. Department of Production Engineering and Safety, Faculty of Management, Czestochowa University of Technology, Armii Krajowej, Czestochowa , Poland

Abstract

Abstract The article presents the results of the use of SPC tools, i.e. control charts and indicators of the qualitative capability to assess the stability and capability of the production process of rolled products - I-sections. Statistical analysis of the collected data regarding the selected feature of the analysed product - the width of the foot, and the normality of the distribution were done, which showed that the obtained distribution of measurement results is not a normal distribution. As a result, appropriate SPC procedures for non-normal distribution were used. The Pareto-Lorenzo diagram and FMEA method were also used to obtain information about the structure of non-conformities of the analysed product and the level of risk associated with them. This information was used to propose corrective actions and improve the production process of rolled products.

Publisher

Stowarzyszenie Menedzerow Jakosci i Produkcji

Subject

Management of Technology and Innovation,Industrial and Manufacturing Engineering,Safety, Risk, Reliability and Quality,Management Information Systems

Link

https://www.sciendo.com/pdf/10.30657/pea.2018.20.06

Reference18 articles.

1. Amaral, R.R. 2012. A new SPC tool in the steelshop at ArcelorMittal Gent designed to increase productivity, Diss. Master in het industrieel beheer, Faculty of Engineering and Architecture of Ghent University, https://lib.ugent.be/fulltxt/RUG01/001/887/298/RUG01-001887298_2012_0001_AC.pdf

2. Fouad, R.H., Mukattash, A. 2010. Statistical Process Control Tools: A Practical guide for Jordanian Industrial Organizations, Jordan Journal of Mechanical and Industrial Engineering, Volume 4, Number 6, December 2010, 693-700.

3. Greber, T. 2005. Statistical process control - practical application examples, StatSoft Poland, Cracow. (in: Polish).

4. Greber, T. 2001. Statistical process control - quality improvement with the STATISTICA package, StatSoft Poland, Cracow. (in: Polish).

5. Hamrol, A. 2017. Management and quality engineering, PWN, Warsaw. (in: Polish).

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