Smart Counting Machines for Modular Industry 4.0 Packing Lines
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21730%2F23%3A00374340" target="_blank" >RIV/68407700:21730/23:00374340 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1016/j.ifacol.2023.10.1422" target="_blank" >https://doi.org/10.1016/j.ifacol.2023.10.1422</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.ifacol.2023.10.1422" target="_blank" >10.1016/j.ifacol.2023.10.1422</a>
Alternative languages
Result language
angličtina
Original language name
Smart Counting Machines for Modular Industry 4.0 Packing Lines
Original language description
The current volatility on the global market presents new challenges in production system engineering and control. On the one hand, packaging and packaging production systems must support increasing production volumes. On the other hand, market volatility requires more flexible production that is fragmented into smaller batches, which causes increased time, effort, and overall workload implied by changeovers between different production setups. Typically, it is not feasible to build a green-field generation of production sites that conforms to all design principles of Industry 4.0. Therefore, the addressed approach deals with a “smartification” of legacy hardware components, bridging multiple levels of the traditional automation pyramid, improving human-machine collaboration, and transforming human experience into a common shared knowledge base. In more detail, we are applying unsupervised learning methods to generalize individual machine settings into reusable and automatically applicable control setups and strategies. The core components of the addressed packing lines are counting machines that deliver the required portions of elements. The developed Smart Counting Machines retain current interfaces that are enhanced with new enhancements providing OPC UA communication and modular control layer. The realized solution has been deployed and tested in a real packing line of our industrial partner. The lessons learned in the presented mitigate barriers on the journey from the proof-of-concept phase to the full production deployment.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/EF16_026%2F0008432" target="_blank" >EF16_026/0008432: Cluster 4.0 - Methodology of System Integration</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
22nd IFAC World Congress
ISBN
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ISSN
2405-8963
e-ISSN
2405-8963
Number of pages
6
Pages from-to
2976-2981
Publisher name
Elsevier Ltd
Place of publication
Oxford
Event location
Yokohama
Event date
Jul 9, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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