PRACTICAL APPLICATION OF FUZZY LOGIC IN PRODUCTION CONTROL SYSTEMS OF ENGINEER TO ORDER SMES
Bartosz Cieśla
b.ciesla@hotmail.comUniversity 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 LogicReferences
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
Authors
Bartosz Cieślab.ciesla@hotmail.com
University of Bielsko-Biala, Mechanical Engineering and Computer Sciences, Production Engineering Department, Bielsko-Biala Poland
Authors
Janusz MleczkoUniversity of Bielsko-Biala, Mechanical Engineering and Computer Sciences, Production Engineering Department, Bielsko-Biala Poland
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