Statistical control of the production process of rolled products

• Autorzy: Knop K.

Identyfikatory

DOI

10.30657/pea.2018.20.06

• Konferencja: Bibliogr. 18 poz., rys., tab.
• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

SPC; rolled products; stability analysis; capability analysis; qualitative analysis

PL

narzędzia SPC; wyroby walcowane; analiza stabilności; analiza zdolności; analiza jakościowa

• Wydawca: Oficyna Wydawnicza Stowarzyszenia Menedżerów Jakości i Produkcji
• Czasopismo: Production Engineering Archives
• Rocznik: 2018
• Tom: Vol. 20
• Strony: 26--31

Twórcy

autor

Knop K.

• Department of Production Engineering and Safety, Faculty of Management, Czestochowa University of Technology, Armii Krajowej 19B, 42-200 Czestochowa, Poland

Bibliografia

• 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).
• 6. Hamrol, A. 2018. Strategies and practices of efficient operation. Lean Six Sigma and others, PWN, Warsaw. (in: Polish).
• 7. Hryniewicz, O. 2000. Effective statistical process control (SPC) using the Statistica package, StatSoft Poland, Cracow. (in: Polish).
• 8. Ignaszak, Z., Sika, R. 2012. Specificity of SPC Procedures Application in Foundry in Aspect of Data Acquisition and Data Exploration, Archives of Foundry Engineering, Vol. 12, Issue 4, 65-70, DOI: 10.2478/v10266- 012-0108-8.
• 9. Iwaniec, M. 2006. Which process is the best - an example of the practical use of control charts and the capability analysis to evaluate processes, StatSoft Poland, Cracow. (in: Polish).
• 10. Knop, K. 2017. Analysis of Risk of Nonconformities and Applied Quality Inspection Methods in the Process of Aluminium Profiles Coating Based on FMEA Results, Production Engineering Archives, Vol. 16, 16-21, DOI: 10.30657/pea.2017.16.04.
• 11. Knop, K., Borkowski, S., Czaja, P. 2008. Estimation of Packaging Process Stability with Utilization of Chosen SPC Instruments: Eds. Borkowski S. Krocko V., TPM and PAMCO Coefficient as Basis of Estimation of Machines Exploitation Efficiency, PSPSPU, Saint Petersburg. Montgomery, D.C. 2012. Introduction to Statistical Quality Control, John Wiley & Sons, New York.
• 13. Ryan, T.P. 2011. Statistical Method for Quality Improvement. 3rd Edition, A Wiley-Interscience Publication, New York.
• 14. Sałaciński, T. 2009. SPC - Statistical control of production processes, Warsaw University of Technology Publishing House, Warsaw. (in: Polish).
• 15. Stanisz, A. 2007. An affordable statistic course using STATISTICA PL on examples of medicine. T.1, Statsoft, Cracow. (in Polish)
• 16. Uçurum, M., Çolak, M., Çınar, M., Dışpınar, D. 2016. Implementation of Statistical Process Control (SPC) Techniques as Quality Control in Cast Iron Part Production, Journal of Engineering Precious Research and Application, Vol. 1, Issue 3, 14-24.
• 17. Ulewicz, R. 2003. Quality control system in production of the castings from spheroid cast iron, Metalurgija, Vol. 42, Issue 1, pp. 61-63.
• 18. Wheeler, D. 2000. Understanding Variation: The Key to Managing Chaos. 2 Revised Edition, SPC Press.

Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).