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

Radosław Drozd, Radosław Wolniak

2021Quality & Quantity51 citationsDOIOpen Access PDF

Abstract

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 $${\upphi }$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>ϕ</mml:mi></mml:math> , product features vector $$\overrightarrow {{\text{ P}}}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mover><mml:mrow><mml:mspace/><mml:mtext>P</mml:mtext></mml:mrow><mml:mo>→</mml:mo></mml:mover></mml:math> which is also referred to as quality vector, and losses vector $$\overrightarrow {{\text{ S}}}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mover><mml:mrow><mml:mspace/><mml:mtext>S</mml:mtext></mml:mrow><mml:mo>→</mml:mo></mml:mover></mml:math> . Scalar, vector, and mixed products of these vectors may form constitutive equations of manufacturing processes. The relations between the vectors $$\upphi$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>ϕ</mml:mi></mml:math> , $$\overrightarrow {{\text{ P}}}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mover><mml:mrow><mml:mspace/><mml:mtext>P</mml:mtext></mml:mrow><mml:mo>→</mml:mo></mml:mover></mml:math> , $$\overrightarrow {{\text{ S}}}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mover><mml:mrow><mml:mspace/><mml:mtext>S</mml:mtext></mml:mrow><mml:mo>→</mml:mo></mml:mover></mml:math> 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.

Topics & Concepts

AlgorithmComputer scienceArtificial intelligenceProduct (mathematics)Machine learningMathematicsGeometryDigital Transformation in IndustryErgonomics and Human FactorsFlexible and Reconfigurable Manufacturing Systems
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