Production Line Modelling in Accordance with the Industry 4.0 Concept as an Element of Process Management in the Iron and Steel Industry

被引:7
作者
Niekurzak, Mariusz [1 ]
Kubinska-Jabcon, Ewa [1 ]
机构
[1] AGH Univ Sci & Technol, Fac Management, Krakow, Poland
关键词
Hot rolling mill; Logistic model of a mill; Steel; Strip; Stock management; DESIGN;
D O I
10.24425/mper.2021.139990
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Simulations are becoming one of the most important techniques supporting production preparation, even in those industrial sectors with atypical technological processes, such as in metallurgy, where there is a multiphase material flow. This is due to the fact that in the conditions of a market economy, enterprises have to solve more and more complex problems in a shorter time. On the basis of the existing production process and the knowledge of the flow characteristics in a given process, a model is built, which, when subjected to simulation tests, provides experimental results in the scope of the defined problem. The use of computer techniques also creates new possibilities for the rational use of the reserves inherent in each technological process. Taking into account the existing demand and the state of modern technology, the computer model can be a source of information for further analysis and decision-making processes supporting company management. At work a model of the logistic system was made on the example of a hot-rolled steel strip mill, on which simulation experiments were carried out to improve the effectiveness and efficiency of the analysis production line. The presented article aims to disseminate the idea of ??Industry 4.0 in Polish companies from the manufacturing industry sector, taking into account simulation techniques.
引用
收藏
页码:3 / 12
页数:10
相关论文
共 26 条
[1]   The link between Industry 4.0 and lean manufacturing: mapping current research and establishing a research agenda [J].
Buer, Sven-Vegard ;
Strandhagen, Jan Ola ;
Chan, Felix T. S. .
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2018, 56 (08) :2924-2940
[2]   Buffer management in solving a real sequencing problem in the automotive industry - Paint Shop 4.0 concept [J].
Bysko, Sara ;
Krystek, Jolanta ;
Bysko, Szymon ;
Lenort, Radim .
ARCHIVES OF CONTROL SCIENCES, 2019, 29 (03) :507-527
[3]   Impact of Management Tools Supporting Industry 4.0 on the Importance of CSR during COVID-19. Generation Z [J].
Cyfert, Szymon ;
Glabiszewski, Waldemar ;
Zastempowski, Maciej .
ENERGIES, 2021, 14 (06)
[4]  
Gudanowska A., 2017, RES LOGISTICS PRODUC, V7, P431, DOI DOI 10.21008/J.2083-4950.2017.7.5.4
[5]   MECHANICAL ENGINEERING IN INDUSTRY 4.0 [J].
Hamrol, Adam ;
Gawlik, Jozef ;
Sladek, Jerzy .
MANAGEMENT AND PRODUCTION ENGINEERING REVIEW, 2019, 10 (03) :14-28
[6]  
Hansen D.K., 2017, P 9 INT JOINT C COMP, P321, DOI DOI 10.5220/0006508203210327
[7]  
Kiepas A, 2018, PAPERS GLOBAL CHANGE, V3, P44, DOI [10.24425/igbp.2018.124891, DOI 10.24425/IGBP.2018.124891]
[8]   INDUSTRY 4.0: STATE OF THE ART AND RESEARCH IMPLICATIONS [J].
Kosacka-Olejnik, Monika ;
Pitakaso, Rapeepan .
LOGFORUM, 2019, 15 (04) :475-485
[9]   INDUSTRY 4.0: COMPLEX, DISRUPTIVE, BUT INEVITABLE [J].
Kumar, Shailendra ;
Suhaib, Mohd. ;
Asjad, Mohammad .
MANAGEMENT AND PRODUCTION ENGINEERING REVIEW, 2020, 11 (01) :43-51
[10]   Design and application of Internet of things-based warehouse management system for smart logistics [J].
Lee, C. K. M. ;
Lv, Yaqiong ;
Ng, K. K. H. ;
Ho, William ;
Choy, K. L. .
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2018, 56 (08) :2753-2768