PRACTICAL APPLICATION OF FUZZY LOGIC IN PRODUCTION CONTROL SYSTEMS OF ENGINEER TO ORDER SMES

Bartosz Cieśla

b.ciesla@hotmail.com
University of Bielsko-Biala, Mechanical Engineering and Computer Sciences, Production Engineering Department, Bielsko-Biala (Poland)

Janusz Mleczko


University of Bielsko-Biala, Mechanical Engineering and Computer Sciences, Production Engineering Department, Bielsko-Biala (Poland)

Abstract

In this paper the method of improving production control in engineer to order [ETO] small and medium sized enterprises is presented. Briefly, the strategy of Mass Customization [MC] and a concept of the hybrid MC-ETO production system are demonstrated. Thereafter, a method of choosing components for small batch manu-facturing in advance, under conditions of single unit ETO production system, with application of fuzzy logic is described. This approach can be used in ETO companies during their transition into the hybrid MC-ETO production systems. The research was done in a collaboration with experts from the real ETO pro-duction system, in Polish SME, which manufactures mechanical parts.


Keywords:

production control, SMEs, ETO, Mass Customization, Fuzzy Logic

Aleksic, D. S., Jankovic, D. S., & Rajkovic, P. (2017). Product configurators in SME one-of-a-kind production with the dominant variation of the topology in a hybrid manufacturing cloud. The International Journal of Advanced Manufacturing Technology, 92(5–8), 2145–2167. http://dx.doi.org/10.1007/s00170-017-0286-1
DOI: https://doi.org/10.1007/s00170-017-0286-1   Google Scholar

Bonev, M. (2015). Enabling Mass Customization in Engineer-To-Order Industries: A multiple case study analysis on concepts, methods and tools (Doctoral dissertation). DTU Management Engineering.
  Google Scholar

Cieśla, B., & Gunia, G. (2019). Development of integrated management information systems in the context of industry 4.0. Applied Computer Science, 15(4), 37–48. http://dx.doi.org/10.23743/acs-2019-28
  Google Scholar

Cieśla, B., & Mleczko, J. (2019). Wybrane aspekty zarządzania informacją w systemach klasy ERP dla wyrobów projektowanych na zamówienie. In: Technologia, procesy i systemy produkcyjne (3, pp. 37–46).
  Google Scholar

Duchi, A., Tamburini, F., Parisi, D., Maghazei, O., & Schönsleben P. (2017). From ETO to Mass Customization: A Two-Horizon ETO Enabling Process. In: J. Bellemare, S. Carrier, K. Nielsen & F. Piller (Eds.), Managing Complexity. Springer Proceedings in Business and Economics (pp. 99–113). Springer, Cham.
DOI: https://doi.org/10.1007/978-3-319-29058-4_8   Google Scholar

Haug, A., Ladeby, K., & Edwards, K. (2009). From engineer‐to‐order to mass customization. Management Research News, 7(32), 633–644. http://dx.doi.org/10.1108/01409170910965233
DOI: https://doi.org/10.1108/01409170910965233   Google Scholar

Mleczko, J., Byrdy, Ł., Cieśla, B., & Kłaptocz, K. (2020). Ile mogą zaoszczędzić firmy projektujące i wytwarzające na zamówienie dzięki modułowej budowie produktów? Zarządzanie Przedsiębiorstwem, 3, 10–15. http://dx.doi.org/10.25961/ent.manag.23.03.02
  Google Scholar

Mleczko, J., Byrdy, Ł., Cieśla, B., & Kłaptocz, K. (2020). Ocena stopnia podobieństwa elementów składowych wyrobów produkowanych w systemie na zamówienie – studium przypadku. In: R. Knosala (Ed.), Inżynieria Zarządzania, Cyfryzacja Produkcji, Aktualności Badawcze 2 (pp. 297–306). Polskie Wydawnictwo Ekonomiczne S.A.
  Google Scholar

Pine, B. J. (1993). Making mass customization happen: Strategies for the new competitive realities. Planning Review, 21(5), 23–24. http://dx.doi.org/10.1108/eb054435
DOI: https://doi.org/10.1108/eb054435   Google Scholar

Ruta, R., & Zborowski, A. (2011). Koncepcja systemu wspomagania zarządzania procesem wytwórczym jednostkowych obiektów technicznych w zakładzie doświadczalnym instytutu badawczego. Problemy Eksploatacji, 3, 205–216.
  Google Scholar

Rutkowski, L. (2012). Metody i techniki sztucznej inteligencji. Wydawnictwo Naukowe PWN.
  Google Scholar

Sobaszek, Ł., & Gola, A. (2015). Computer-aided production task scheduling. Applied Computer Science, 11(4), 58–69.
  Google Scholar

Viana, D. D., Tommelein, I. D., & Formoso, C. T. (2017). Using modularity to reduce complexity of industrialized building systems for mass customization. Energies, 10(10), 1622. http://dx.doi.org/10.3390/en10101622
DOI: https://doi.org/10.3390/en10101622   Google Scholar

Xu, Y., Landon, Y., Segonds, S., & Zhang, Y. (2017). A decision support model in mass customization. Computers & industrial engineering, 114, 11–21. http://dx.doi.org/10.1016/j.cie.2017.09.046
DOI: https://doi.org/10.1016/j.cie.2017.09.046   Google Scholar

Download


Published
2021-03-30

Cited by

Cieśla, B., & Mleczko, J. (2021). PRACTICAL APPLICATION OF FUZZY LOGIC IN PRODUCTION CONTROL SYSTEMS OF ENGINEER TO ORDER SMES. Applied Computer Science, 17(1), 17–25. https://doi.org/10.23743/acs-2021-02

Authors

Bartosz Cieśla 
b.ciesla@hotmail.com
University of Bielsko-Biala, Mechanical Engineering and Computer Sciences, Production Engineering Department, Bielsko-Biala Poland

Authors

Janusz Mleczko 

University of Bielsko-Biala, Mechanical Engineering and Computer Sciences, Production Engineering Department, Bielsko-Biala Poland

Statistics

Abstract views: 202
PDF downloads: 44


License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

All articles published in Applied Computer Science are open-access and distributed under the terms of the Creative Commons Attribution 4.0 International License.


Similar Articles

<< < 1 2 3 4 5 6 7 8 > >> 

You may also start an advanced similarity search for this article.