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Simulation of Innovative Systems under Industry 4.0 Conditions

Author

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  • Nestor Shpak

    (Institute of Economics and Management, Lviv Polytechnic National University, 79013 Lviv, Ukraine)

  • Mykola Odrekhivskyi

    (Institute of Economics and Management, Lviv Polytechnic National University, 79013 Lviv, Ukraine)

  • Kateryna Doroshkevych

    (Institute of Economics and Management, Lviv Polytechnic National University, 79013 Lviv, Ukraine)

  • Włodzimierz Sroka

    (Management Department, Faculty of Applied Sciences, WSB University, 41-300 Dąbrowa Górnicza, Poland)

Abstract

The world is at the threshold of the fourth industrial revolution, which has already begun. It requires enterprises and even sectors to move toward Industry 4.0. Innovative systems (IS) play an important role in this process. In the article, the innovative systems in Industry 4.0 are considered to be complex systems whose components have a lot of tasks; in particular, to produce innovative policy; to provide the subjects of innovative activity with the necessary resources; to participate directly in the process of creation, commercialization, and the practical use of new knowledge; to implement integration approaches between these processes, etc. The complexity of the innovation system leads to the development of modern approaches to their modeling, as a tool for further designing, creating, and modifying real innovative systems of different levels of organization under the conditions of Industry 4.0. In the simulation of IS under the conditions of Industry 4.0, the description of the subsystems by a number of sets is proposed. The model is described by the graph of relationships, including the abstract level of the hierarchical model of IS, its elements, indicators and their values, functions, actions and operations, their states and efficiency, and the tree of goals. In order to make optimal solutions, using the mathematical apparatus of the theory of Markov chains to study the dynamic and static characteristics of the states of the IS is proposed. This approach can be widely used in the simulation, designing, development, and rebuilding of IS at different levels of an organization.

Suggested Citation

  • Nestor Shpak & Mykola Odrekhivskyi & Kateryna Doroshkevych & Włodzimierz Sroka, 2019. "Simulation of Innovative Systems under Industry 4.0 Conditions," Social Sciences, MDPI, vol. 8(7), pages 1-14, June.
    • Handle: RePEc:gam:jscscx:v:8:y:2019:i:7:p:202-:d:243892
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    References listed on IDEAS

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    Cited by:

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    2. Anna Krizanova & George Lăzăroiu & Lubica Gajanova & Jana Kliestikova & Margareta Nadanyiova & Dominika Moravcikova, 2019. "The Effectiveness of Marketing Communication and Importance of Its Evaluation in an Online Environment," Sustainability, MDPI, vol. 11(24), pages 1-19, December.
    3. Judit Oláh & Nemer Aburumman & József Popp & Muhammad Asif Khan & Hossam Haddad & Nicodemus Kitukutha, 2020. "Impact of Industry 4.0 on Environmental Sustainability," Sustainability, MDPI, vol. 12(11), pages 1-21, June.
    4. Trang Thi Pham & Tsai-Chi Kuo & Ming-Lang Tseng & Raymond R. Tan & Kimhua Tan & Denny Satria Ika & Chiuhsiang Joe Lin, 2019. "Industry 4.0 to Accelerate the Circular Economy: A Case Study of Electric Scooter Sharing," Sustainability, MDPI, vol. 11(23), pages 1-16, November.
    5. Georgescu Irina & Androniceanu Ane-Mari & Kinnunen Jani & Drăgulănescu Irina Virginia, 2021. "Correlative approach to digitalization and economic growth," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 15(1), pages 44-57, December.
    6. Zuzana ROWLAND & Petr SULER, 2019. "Quality Culture: A Tool Of Financial Management To Reduce Risk," Proceedings of the INTERNATIONAL MANAGEMENT CONFERENCE, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 13(1), pages 730-737, November.

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