Integrated Subsystems of Materials and Information Flow for Continuous Manufacturing of Coal and Steel

Author:

Danel Roman1ORCID,Gajdzik Bożena2ORCID

Affiliation:

1. VSTE – Institute of Technology and Business in České Budějovice VSB – Technical University of Ostrava

2. Silesian University of Technology

Abstract

Abstract With the concept of Industry 4.0 production processes are moving towards autonomy and intelligence. Technologies equipped with artificial intelligence (AI) are involved into processes that are more and more digitized. Collaborative technologies are a feature of discrete processes. The automotive industry has achieved many successes in the process innovation towards smart factories. Other plants, such as smelters or coal mining are also striving to develop smart manufacturing with integrated computer systems to support processes. A continuous production is different from a discrete or batch production. Industry 4.0 concept is focused on discrete production (with high level of automation and robotization of manufacturing) meanwhile there is a gap in implementation of these approach in the continuous production. The objective of the publication is to prepare and design the integrated computer management system based on processes realized in coal and steel manufacturing. Coal and steel production are key elements in a chain of any industrial manufacturing e.g. automotive or machinery engineering. These processes are crucial in building of smart value chain. In our paper we present the structure of processes for the continuous production. Based the processes model we proposed the next steps to build the smart manufacturing for continuous production.

Publisher

Walter de Gruyter GmbH

Reference58 articles.

1. H. Kagermann, W. Wahlster, J. Helbig, eds., Recommendations for implementing the strategic initiative Industrie 4.0: Final report of the Industrie 4.0. Working Group: Industrie 4.0: Mit dem Internet der Dinge auf dem Weg zur 4. industriellen Revolution, VDI-Nachrichten, Acatech-National Academy of Science and Engineering: München, Germany, April 2011 [online:] http://forschungsunion.de/pdf/industrie_4_0_final_report.pdf.

2. H. Kagermann, Change Through Digitalization – Value Creation in the Age of Industry 4.0, [in:]: H. Albach et al. (eds.), Management of Permanent Change, Springer Fachmedien Wiesbaden, 23-45, 2015.

3. O. Cardin, Classification of cyber-physical production systems applications: Proposition fan analysis framework. Computers in Industry, Volume 104, January 2019, pp. 11-21, [online] https://doi.org/10.1016/j.com-pind.2018.10.002

4. A. Kamiński, „Inteligentna fabryka” – nowe trendy w rozwoju systemów informatycznych dla przemysłu. „Intelligent Factory” – new trends in development information systems for industry (Zarządzanie i Finanse) Journal of Management and Finance Vol. 16, No. 3/2/2018.

5. M. Broy, Cyber-Phisical Systems. Innovation Durch Software-Intensive Eingebettete Systeme, Springer, Monachium, 2010 [online] https://link.springer.com/article/10.1007/s10845-021-01790-3.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3