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Metrisable assessment of the course of stream-systemic processes in vector form in industry 4.0

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  • Radosław Drozd

    (Gdansk University of Technology)

  • Radosław Wolniak

    (Silesian University of Technology)

Abstract

The goal of this paper is to present an innovative conception how to use metrisable vector structure of a manufacturing process, based on quantitative relations between the activity of input streams, features of the product, and effect of losses; all of which are excellent practical solution for Industry 4.0, and in turn intelligent factories. This solution can be a usefull way in the process of building sustainable organization. A vector representation of manufacturing processes was formulated, one which is based in system engineering. Three manufacturing system state vectors were proposed. These are: input stream vector $${\upphi }$$ ϕ , product features vector $$\overrightarrow {{\text{ P}}}$$ P → which is also referred to as quality vector, and losses vector $$\overrightarrow {{\text{ S}}}$$ S → . Scalar, vector, and mixed products of these vectors may form constitutive equations of manufacturing processes. The relations between the vectors $$\upphi$$ ϕ , $$\overrightarrow {{\text{ P}}}$$ P → , $$\overrightarrow {{\text{ S}}}$$ S → provide a possibility for a metrisable, complex analysis and assessment of a contemporary manufacturing process. The paper shows practical methods for defining the size of the vector values within the process. The demonstrated vector description of stream-systemic processes can also be applied to non-material manufacturing.

Suggested Citation

  • Radosław Drozd & Radosław Wolniak, 2021. "Metrisable assessment of the course of stream-systemic processes in vector form in industry 4.0," Quality & Quantity: International Journal of Methodology, Springer, vol. 55(6), pages 2161-2176, December.
  • Handle: RePEc:spr:qualqt:v:55:y:2021:i:6:d:10.1007_s11135-021-01106-w
    DOI: 10.1007/s11135-021-01106-w
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    References listed on IDEAS

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    1. Radosław Wolniak & Michalene Eva Grebski & Bożena Skotnicka-Zasadzień, 2019. "Comparative Analysis of the Level of Satisfaction with the Services Received at the Business Incubators (Hazleton, PA, USA and Gliwice, Poland)," Sustainability, MDPI, vol. 11(10), pages 1-22, May.
    2. Li Da Xu, 2020. "The contribution of systems science to Industry 4.0," Systems Research and Behavioral Science, Wiley Blackwell, vol. 37(4), pages 618-631, July.
    3. Iva Vuksanović Herceg & Vukašin Kuč & Veljko M. Mijušković & Tomislav Herceg, 2020. "Challenges and Driving Forces for Industry 4.0 Implementation," Sustainability, MDPI, vol. 12(10), pages 1-22, May.
    4. Virginia Pilloni, 2018. "How Data Will Transform Industrial Processes: Crowdsensing, Crowdsourcing and Big Data as Pillars of Industry 4.0," Future Internet, MDPI, vol. 10(3), pages 1-14, March.
    5. Radosław Wolniak & Sebastian Saniuk & Sandra Grabowska & Bożena Gajdzik, 2020. "Identification of Energy Efficiency Trends in the Context of the Development of Industry 4.0 Using the Polish Steel Sector as an Example," Energies, MDPI, vol. 13(11), pages 1-16, June.
    6. Sebastian Saniuk & Sandra Grabowska & Bożena Gajdzik, 2020. "Social Expectations and Market Changes in the Context of Developing the Industry 4.0 Concept," Sustainability, MDPI, vol. 12(4), pages 1-21, February.
    7. Radosław Miśkiewicz & Radosław Wolniak, 2020. "Practical Application of the Industry 4.0 Concept in a Steel Company," Sustainability, MDPI, vol. 12(14), pages 1-21, July.
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    Cited by:

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    2. Anna Kwiotkowska & Radosław Wolniak & Bożena Gajdzik & Magdalena Gębczyńska, 2022. "Configurational Paths of Leadership Competency Shortages and 4.0 Leadership Effectiveness: An fs/QCA Study," Sustainability, MDPI, vol. 14(5), pages 1-21, February.

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