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PRINCIPLES OF INDUSTRY 4.0 IN TEACHING OF LOGISTICS
Abstract
College of Logistics is engaged in the research of activities within logistics processes from production support to complete logistics chains. In this context, work is being done on the analysis of logistics processes according to the Industry 4.0 concept. The aim of the paper is to show the application of this approach in the teaching of subjects focused on logistic processes. In the paper, we want to show an attempt to manufacturing/production logistics ?as a service? based on digital twins. (We understand that meaning of service in logistics environment is different.) This approach allows us to use not only classic one pair of the original and the model, but we expect the possibility of extension to multiple digital models (with a common general structure but different parameters) associated with multiple originals. In an unified digital environment, it is possible to work with multiple digital sources, the originals of which can be deployed in different locations and can have different parameters. Verification of procedures and results can be done in a simulation environment. This will allow users to verify the accuracy of their own simulated activities as well as communication between individual objects. The principles and design of communication interface is part of the proposed system. The original idea of our approach is based on the CIIRC project. This topic is step by step being incorporated into new subjects within the ongoing new accreditation process of professionally oriented bachelor and master study programs.
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References6
Hlavaty, S.: Průmysl 4.0 a strategie MSP. MVS Olomouc, 2018. Bachelor thesis, supervisor Pawliczek, A.
Peterek, K., Kavka, L., Floková, L.: Automatic identification at railway as data source for spatial analysis. Albena, BG, 2017. SGEM proceedings vol. 1, pp. 167- 174.
Turek, M., Peterek, K.: Assessment of citizens' and employees' mobility by public transport. 2017 MATEC Web of Conferences 134,00059
GS1 Czech: Elektronická výměna dat (EDI). [On-line] http://www.gs1- akademie.cz/info-859/faq-elektronicka-vymena-dat-edi-s611702519. [cit. 21.4.2019]
Gros, I., Dyntar, J.: Matematické modely v manažerském rozhodování. VŠCHT Praha, CZ, 2015, ISBN 978-80-7080-910-5.
Kodym, O., Sedláček, M., Kalupová, B.: Traceability Model of Supply Chain. Albena, BG, 2017. SGEM proceedings. DOI: 10.5593/sgem2017/21.
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Number of times cited according to Crossref: 2
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