Improving production of low pressure hoses

• Autorzy: Sygut P. , Krynke M.

Identyfikatory

DOI

10.30657/pea.2017.17.07

• Języki publikacji: EN

Abstrakty

EN

The paper presents the results of research carried out in one of the domestic companies producing rubber and plastics products for the automotive industry. The results of the evaluation of the quality control function during production of the low pressure hoses and the characteristics of the main machine taking part in this production process are presented. An analysis of the results of the evaluation of factors influencing the quality of production is presented and guidelines for improving this production process are presented. One of the proposed solutions for improvement is the modernization of the machine park and introduction of production nests.

Słowa kluczowe

EN

automotive; visual control; SPC; improve

PL

przemysł motoryzacyjny; kontrola jakości; statystyczne sterowanie jakością

• Wydawca: Oficyna Wydawnicza Stowarzyszenia Menedżerów Jakości i Produkcji
• Czasopismo: Production Engineering Archives
• Rocznik: 2017
• Tom: Vol. 17
• Strony: 33--36
• Opis fizyczny: Bibliogr. 12 poz., tab.

Twórcy

autor

Sygut P.

• Department of Production Engineering and Safety, Faculty of Management, Czestochowa University of Technology, Armii Krajowej 19B, 42-201 Czestochowa, Poland

autor

Krynke M.

• Department of Production Engineering and Safety, Faculty of Management, Czestochowa University of Technology, Armii Krajowej 19B, 42-201 Czestochowa, Poland

Bibliografia

• 1. BARTH A., HERPERS R., GREßNICH M., 2007. Real-time applicable visual quality control in industrial line production, IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM.
• 2. BORKOWSKI S., KNOP K. 2013. Visual Control as a Key Factor in a Production Process of a Company from Automotive Branch. Production Engineering Archives, 1(1), 25-28.
• 3. BORKOWSKI S., INGALDI M., JAGUSIAK-KOCIK M. 2014. Quality analysis and technological portfolio in production of the metal screws, METAL 2014 - 23rd International Conference on Metallurgy and Materials, Conference Proceedings, 1716.
• 4. CRISTEA G. CONSTANTINESCU D. M. 2017. A comparative critical study between FMEA and FTA risk analysis methods, IOP Conference Series: Materials Science and Engineering.
• 5. HYLA I. 2004. Plastics. Property - Processing - Application (in Polish). Silesian University of Technology, Gliwice.
• 6. MIELCZAREK K., KNOP K. 2016. Significance of Visual Control Types in Automotive Industry. Technical Transactions Mechanics, 3-M/2016, 67-72.
• 7. PIĄTKOWSKI J., KAMIŃSKI P. 2017. Risk assessment of defect occurrences in engine piston castings by FMEA method, Archives of Foundry Engineering, vol. 17, no. 3, 107-110.
• 8. SELEJDAK J., INGALDI M. 2013. Analiza efektywności ciągu walcowniczego i jakości wyrobów walcowanych na gorąco. Hutnik-Wiadomości Hutnicze T.80 nr 11, 813-816.
• 9. STASIEK J. 2007. Extrusion of Polymer Plastics. Selected Topics (in Polish). UTP University of Science and Technology, Bydgoszcz, 2007.
• 10. STROPPA, L., RODRIGUES N., LEITAO P., PAONE N. 2012. Quality control agents for adaptive visual inspection in production lines, IECON Proceedings (Industrial Electronics Conference), 4354-4359.
• 11. ULEWICZ R., NOVY F. 2013. Instruments of quality assurance to structural materials, Annals of the Faculty of Engineering Hunedoara; Hunedoara Vol. 11, Iss. 1, (2013): 23-28.
• 12. WANG S., HUANG T., HOU T. 2017 Statistical Process Control in Fused Deposition Modeling based on Tanimoto similarity of uniform surface images of product, 2017 2nd International Conference on Reliability Systems Engineering, ICRSE.

Uwagi

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