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Planning algorithms for cyber-physical production networks in the Industry 4.0 environment

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Purpose: The paper aims to present the methodology of rapid prototyping of small and medium-sized enterprises' networks operating in the Industry 4.0 environment. Design/methodology/approach: In the conducted research, the method of literature analysis and mathematical analysis, set algebra, and mathematical logic was used to design algorithms using proposed sufficient conditions, which fulfilment allows for the prototyping of a cyber-physical production network of small and medium-sized enterprises. Findings: Based on the obtained research results, a general methodology for planning cyber-physical production networks was proposed based on algorithms using a set of sufficient conditions. Research limitations/implications: The proposed methodology presents only a part of the general model of functioning of the cyber-physical network of enterprises and allows for prototyping of variants of admissible networks. This means the need to integrate the proposed methodology with the planned prototype of e-business platforms, which will be an environment for integrating production companies and potential customers ordering production tasks. Originality/value: Original achievements obtained during the research include algorithms that allow rapid prototyping of network variants based on available production resources, the cost of their use and transport constraints between companies. Noteworthy is the possibility of obtaining a set of acceptable solutions and choosing the best one due to the cost criterion or the deadline for completing the production order. The proposed approach allows for planning a detailed schedule of production flow, taking into account the load on resources and transport between companies.
Rocznik
Tom
Strony
417--428
Opis fizyczny
Bibliogr. 15 poz.
Twórcy
  • University of Zielona Gora, Department of Engineering Management and Logistic Systems
Bibliografia
  • 1. Adamik, A., Grabowska, S., Saniuk, S. (2023). Model biznesu w środowisku Smart World. Warszawa: PWE, p. 304.
  • 2. Bauernhansl, T., Hompel, M., Vogel-Henser, B. (2014). Industrie 4.0 in Produkten, Automatisierung und Logistik. Wiesbaden, Germany: Springer Fachmedien.
  • 3. Czakon, W. (2015). Sieci międzyorganizacyjne w naukach o zarządzaniu - w kierunku sieciowych modeli biznesu. Studia Ekonomiczne. Zeszyty Naukowe Uniwersytetu Ekonomicznego w Katowicach, Nr 217.
  • 4. Grabowska, S., Saniuk, S. (2023). Business Models for Industry 4.0: Concepts and Challenges in SME Organizations. London: Routledge - Taylor & Francis Group, p. 176, ISBN: 9781032329314.
  • 5. Hu, S.J. (2013). Evolving paradigms of manufacturing: From mass production to mass customization and personalization. Procedia CIRP, 7, 3-8.
  • 6. Kowalkowski, Ch., Gebauer, H., Kamp, B., Parry, G. (2017). Servitization and deservitization: Overview, concepts, and definitions. Industrial Marketing Management, 60, 4-10.
  • 7. Kagermann, H., Wahlster, W., Helbig, J. (Eds.) (2011). Recommendations for Implementing the Strategic Initiative Industrie 4.0: Final Report of the Industrie 4.0 Working Group. Industrie 4.0: Mit dem Internet der Dinge auf dem Weg zur 4. Industriellen Revolution. Frankfurt, Germany: VDINachrichten.
  • 8. Kliment, M., Pekarcikova, M., Trebuna, P., Trebuna, M. (2021). Application of TestBed 4.0 Technology within the Implementation of Industry 4.0 in Teaching Methods of Industrial Engineering as Well as Industrial Practice. Sustainability, 13, 8963. https://doi.org/10.3390/su13168963.
  • 9. Młody, M. (2018). Product personalization and Industry 4.0 - assessment of the rightness of the implementation of modern technologies in the manufacturing industry from the consumers' perspective. Ekonomika i Organizacja Przedsiębiorstwa.
  • 10. Saniuk, S. (2020) The concept of utilizing SMES network e-business platforms for customized production in the industry 4.0 perspective. Scientific Papers of Silesian University of Technology. Organization and Management Series, No. 136, 523-533, ISSN: 1641-3466.
  • 11. Saniuk, S., Grabowska, S. (2021). The Concept of Cyber-Physical Networks of Small and Medium Enterprises under Personalized Manufacturing. Energies, vol. 14, no. 17, 5273. https://doi.org/10.3390/en14175273.
  • 12. Lee, J., Bagheri, B., Kao, H. (2015). Research Letters: A Cyber-Physical Systems architecture for Industry 4.0-based manufacturing systems. Manuf. Lett., 3, 18-23.
  • 13. Liu, Y., Peng, Y., Wang, B., Yao, S., Liu, Z. (2017). Review on cyber-physical systems. IEEE/CAA J. Autom. Sin., 4, 27-40, doi:10.1109/jas.2017.7510349.
  • 14. Vargo, S., Lusch, R. (2017). Service-dominant logic 2025. International Journal of Research in Marketing, 34(1), pp. 46-67, https://doi.org/10.1016/j.ijresmar.2016.11.001.
  • 15. Yang, Z., Jun, M. (2008). Consumer Perception of E-Service Quality: From Internet Purchaser and Non-purchaser Perspectives. Journal of Business Strategies, 25(2).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-22bd560d-53f4-403b-a565-3cc8d498fce7
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