Metrisable assessment of the course of stream‑systemic processes in vector form in industry 4.0 - Publication - Bridge of Knowledge

Search

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

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 ϕ ⃗, product features vector ( P) ⃗ which is also referred to as quality vector, and losses vector ( S) ⃗. Scalar, vector, and mixed products of these vectors may form constitutive equations of manufacturing processes. The relations between the vectors ϕ ⃗, ( P) ⃗ ,( 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.

Citations

  • 4

    CrossRef

  • 0

    Web of Science

  • 4

    Scopus

Cite as

Full text

download paper
downloaded 30 times
Publication version
Accepted or Published Version
License
Creative Commons: CC-BY open in new tab

Keywords

Details

Category:
Articles
Type:
artykuły w czasopismach
Published in:
Quality and Quantity no. 55, pages 2161 - 2176,
ISSN: 0033-5177
Language:
English
Publication year:
2021
Bibliographic description:
Drozd R., Wolniak R.: Metrisable assessment of the course of stream‑systemic processes in vector form in industry 4.0// Quality and Quantity -Vol. 55, (2021), s.2161-2176
DOI:
Digital Object Identifier (open in new tab) 10.1007/s11135-021-01106-w
Verified by:
Gdańsk University of Technology

seen 91 times

Recommended for you

Meta Tags