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

Author:

Drozd RadosławORCID,Wolniak RadosławORCID

Abstract

AbstractThe 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.

Publisher

Springer Science and Business Media LLC

Subject

General Social Sciences,Statistics and Probability

Reference75 articles.

1. Adolphs, P., Auer, S., Bedenbender, H., Billmann, M., Hankel, M., Heidel, R.: Struktur der verwaltungsschale: Fortentwicklung des referenzmodells für die Industrie 4.0- komponente. Bundesministerium für Wirtschaft und Energie (BMW), Berlin, pp. 345–361 (2016)

2. Arnold, C., Kiel, D., Voigt, K.I.: How Industry 4.0 changes business models in different anufacturing industries. In Proceedings of the XXVII ISPIM Innovation Conference–Blending Tomorrow’s Innovation Vintage, At Porto, Portugal, pp. 1–11 (2016)

3. Bauer, W.: Industrie 4.0. Volkswirtschaftliches Potenzial für Deutschland. Berlin: BITKOM, (2014)

4. Bauernhansl, T., Hompel, M., Vogel-Heuser, B.: Industry 4.0 in production. Automatisierung und Logistik. Wiesbaden, Springer, pp. 12–19 (2015)

5. Brettel, M.: How virtualization, decentralization and network building change the manufacturing landscape. An Industry 4.0 Perspective. Int. J. Mech. Aerosp. Ind. Mechatron. Eng. 8(1), 37 (2015)

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