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The Business Model of Industrial Networks in the Context of the Industry 4.0 Environment

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EN
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EN
The article presents a business model based on an industrial network of companies capable of producing personalized products in an Industry 4.0 environment. Based on research conducted in Poland, in manufacturing companies, the critical problems associated with the implementation of Industry 4.0 technologies and the expected benefits associated with their implementation are addressed. The model’s task is to integrate a customer expecting personalized production with a network of companies with the appropriate production resources. The original achievement is the integration of the customer and the manufacturer around an e-business platform, which allows the rapid prototyping of a network of SME companies capable of realizing personalized production. The proposed model describes the architecture of enterprise cooperation under the conditions of implementing the Industry 4.0 concept and is dedicated to the SME sector. The model provides a basis for building prototypes of e-business platforms of small and medium-sized enterprises.
Twórcy
  • Department of Production Engineering, Silesian University of Technology, Poland
  • Department of Engineering Management and Logistic Systems, University of Zielona Góra, Poland
Bibliografia
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  • Brzóska, J., & Knop, L. (2020). Business model changes in the presence of Industry 4.0 challenges. The Future of Management: Industry 4.0 and Digitalization, Nogalski B., Bula P. (ed.): Jagiellonian University Press: 21-40, Kraków.
  • Cyfert, S., Markowski, P., & Mielcarek, P. (2018). Barriers in strategic projects of Polish companies. Management and Production Engineering Review, 9(2), 88-95.
  • Hermann, M., Pentek, T., & Otto, B. (2016). Design principles for industrie 4.0 scenarios. In 2016 49th Hawaii international conference on system sciences (HICSS) (3928-3937). IEEE.
  • Ibarra, D., Ganzarain, J., & Igartua, J.I. (2018). Business model innovation through Industry 4.0: A review. Procedia manufacturing, 22, 4-10.
  • Ilic, D., Markovic, B., & Milosevic, D. (2017). Strategic business transformation: An industry 4.0 perspective. Journal of International Economic Law, 20, 49-59.
  • Lampel, J., & Mintzberg, H. (1996). Customizing customization. MIT Sloan Management Review, October 15.
  • Lee, J., Kao, H.A., & Yang, S. (2014). Service innovation and smart analytics for industry 4.0 and big data environment. Procedia cirp, 16, 3-8.
  • Lu, Y. (2017). Industry 4.0: A survey on technologies, applications and open research issues. Journal of industrial information integration, 6, 1-10.
  • Mahmood, A.R., Korenkevych, D., Vasan, G., Ma, W., & Bergstra, J. (2018). Benchmarking reinforcement learning algorithms on real-world robots. In Conference on robot learning, October, 561-591.
  • McKinsey&Company (2021). Industry 4.0 How to navigate digitization of the manufacturing sector. https://www.mckinsey.com/~/media/McKinsey/Business%20Functions/Operations/Our%20Insights/Industry%2040%20How%20to%20navigate%20digitization%20of%20the%20manufacturing%20sector/Industry-40-How-to-navigate-digitization-of-the-ma nufacturing-sector.ashx. [13.11.2021]
  • Müller, J.M., Buliga, O., & Voigt, K.I. (2018). Fortune favors the prepared: How SMEs approach business model innovations in Industry 4.0. Technological Forecasting and Social Change, 132, 2-17.
  • Panetto, H., Iung, B., Ivanov, D., Weichhart, G., & Wang, X. (2019). Challenges for the cyber-physical manufacturing enterprises of the future. Annual Reviews in Control, 47, 200-213.
  • Quade, A., Wynn, M.G., & Dawson, D. (2020,). Collaboration through virtual teams: towards an operational model for virtual project leadership in the automotive industry. In COLLA 2020: The Tenth International Conference on Advanced Collaborative Networks, Systems and Applications, ThinkMind (TM) Digital Library. September, 1-7.
  • Ritter, T., & Pedersen, C.L. (2020). Digitization capability and the digitalization of business models in business-to-business firms: Past, present, and future. Industrial Marketing Management, 86, 180-190.
  • Saniuk, S., & Grabowska, S. (2019). Challenges for the business model of a network of small and mediumsized manufacturing enterprises in the era of industry 4.0. Organization and Management: scientific quarterly.
  • Saniuk, S., Saniuk, A., & Cagáňová, D. (2021). Cyber Industry Networks as an environment of the Industry 4.0 implementation. Wireless Networks, 27, 1649-1655.
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  • Sony, M., & Naik, S. (2020). Key ingredients for evaluating Industry 4.0 readiness for organizations: a literature review. Benchmarking: An International Journal, 27(7), 2213-2232.
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Typ dokumentu
Bibliografia
Identyfikator YADDA
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