Title: | Proposal of a Tool for Determining Sub- and Main Dimension Indicators in Assessing Internal Logistics Readiness for Industry 4.0 within a Company |
Authors: | Poór, Peter Zoubek, Michal Šimon, Michal |
Citation: | POÓR, P. ZOUBEK, M. ŠIMON, M. Proposal of a Tool for Determining Sub- and Main Dimension Indicators in Assessing Internal Logistics Readiness for Industry 4.0 within a Company. Applied Sciences, 2021, roč. 11, č. 24, s. Nestránkováno. ISSN: 2076-3417 |
Issue Date: | 2021 |
Publisher: | MDPI |
Document type: | článek article |
URI: | 2-s2.0-85121219681 http://hdl.handle.net/11025/46973 |
ISSN: | 2076-3417 |
Keywords in different language: | methodology;indicators;dimensions;logistics;Industry 4.0 |
Abstract in different language: | Key elements of Industry 4.0 are the digitization of products and production, enterprise information systems, robotic workplaces, communication infrastructure, and of course, employees. Industry 4.0 transforms production from stand-alone automated units to fully integrated automated and continuously optimized production environments. According to the prediction of Industry 4.0, new global networks will be created based on the interconnection of production equipment into CPS systems. These systems will be the basic building block of the so-called “smart factories”, and will be able to exchange information autonomously, trigger the necessary actions in response to current conditions and mutually independent inspections. The aim of this article is to describe the issue of readiness models for the Industry 4.0 concept, which are commonly used as tools for conceptualizing and measuring the maturity of an organization or process related to a specific target state. Characteristic for the models is their use because, on this basis, it is possible to identify the current readiness for the concept of Industry 4.0 comprehensively in the whole company or in various sub-areas. |
Rights: | © authors |
Appears in Collections: | Články / Articles (KPV) OBD |
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File | Size | Format | |
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applsci-11-11817.pdf | 6,54 MB | Adobe PDF | View/Open |
Please use this identifier to cite or link to this item:
http://hdl.handle.net/11025/46973
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