Improvement of the Production Process in the Industry 4.0 Context

Grabowska, Sandra

doi:10.2478/mape-2018-0008

Author

Grabowska Sandra (Sileisan University of Technology)

Title

Improvement of the Production Process in the Industry 4.0 Context

Source

Multidisciplinary Aspects of Production Engineering, 2018, vol. 1, s. 55-62, rys., tab., bibliogr. 13 poz.

Keyword

Proces produkcji, Przemysł 4.0, Narzędzia zarządzania jakością
Production process, Industry 4.0, Quality management tools

Note

streszcz., summ.

Abstract

Dynamically changing conditions of business activity, rapid development of new technologies, increasing intensity of competition, progressing globalisation pose for entrepreneurs new, much more difficult principles than before, especially due to the increase of intensity and complexity of the environment. It is reflected in the necessity of continuous improvement of processes and their quick reorganisation. The aim of the article is to present research conducted in metallurgical enterprise. In the article individual stages of heat treatment process, taking into consideration complications, errors and quality defects of the product arising at the stage of manufacturing the product were described. In order to minimize resulting defects, quality improvement system was implemented, using, among others Ishikawa diagram. In view of the fact that the world stands on the threshold of next industrial revolution, directions of improvement of heat treatment process in the context of Industry 4.0 were indicated. (original abstract)

Full text

Bibliography

Blacha, L. and Brzóska, J. (2016). The use of the balanced scorecard in evaluating the results of the innovations implemented in metallurgical companies. Metalurgija, 55 No 3, pp. 0543-5846.
Gerwin, D. (1993). Manufacturing Flexibility: A Strategic Perspective. Manage. Sci., vol. 39, no. 4, pp.12-13.
Gajdzik, B. (2013). World class manufacturing in metallurgical enterprise. Metalurgija 52 No 1, pp.131-134.
Grabowska, S. (2018). Kluczowe wskażniki efektywności - stadium przypadku. Zesz. Nauk. PŚl., Org. Zarz. 2017 z. 108, pp. 105-111. [online] Available at: https://www.polsl.pl/Wydzialy/ROZ/ZN/Documents/z 108/Grabowska Sandra.pdf [Accessed 15 Apr. 2018].
Grabowska, S. and Furman, J. (2015). The business model of steel company - focus on the innovation. [online] Available at: http://konsystest.tanger.cz/files/proceedings/21/papers/4097.pdf [Accessed 05 May 2018].
Hermann, M., Pentek, T. and Otto B. (2015). Design Principles for Industrie 4.0 Scenarios: A Literature Review. Technische Universität Dortmund, No. 01.
Jaskanis, A. Podejmowanie decyzji - Diagram Ishikawy - Wykres ości ryby - Wykres przyczynaskutek. [online] Available at: http://www.wz.uw.edu.pl/pracownicyFiles/id17984-5.2 - Diagram Ishikawy.pdf [Accessed 05 May 2018].
Kagermann, H. (2014). Chancen von Industrie 4.0 nutzen. In: Bauernhansl, T., M. ten Hompel and B. Vogel-Heuser,: Industrie 4.0 in Produktion, Automatisierung und Logistik. Anwendung, Technologien und Migration, pp. 603 - 614.
Lasi, H., Fettke, P., Kemper H., Feld, T. and Hoffmann M. (2014). Industry 4.0. Business & Information Systems Engineering 6, pp. 239 - 242.
Lee, J. (2013). Industry 4.0 in Big Data Environment. German Harting Magazine, pp. 8 - 10.
Molenda, M., Hąbek, P. and Szczęśniak, B. (2016). Zarządzanie jakością w organizacji wybrane zagadnienia. Wydawnictwo Politechniki Śląskiej, Gliwice, p. 71.
Wittbrodt, P. and Łapuńka, I. (2018). Przemysł 4.0 - Wyzwanie dla współczesnych przedsiębiorstw produkcyjnych. [online] Available at: http://www.ptzp.org.pl/files/konferencje/kzz/artyk_pdf_2017/T2/t2_793.pdf [Accessed 24 Apr. 2018].
Wolniak, R. and Skotnicka-Zasadzień, B. (2010). Zarządzanie jakością dla inżynierów. In: Organizacja i Zarządzanie, Gliwice, pp. 73-75.

Cited by

ISSN

2545-2827

Language

eng

URI / DOI

BazEkon - The Main Library of the Cracow University of Economics

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