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An intelligent bin system for decentrally controlled intralogistic systems in context of Industrie 4.0

  • Decreasing batch sizes in production in line with Industrie 4.0 will lead to tremendous changes of the control of logistic processes in future production systems. Intelligent bins are crucial enablers to establish decentrally controlled material flow systems in value chain networks as well as at the intralogistics level. These intelligent bins have to be integrated into an overall decentralized monitoring and control approach and have to interact with humans and other entities just like other cyber-physical systems (CPS) within the cyber-physical production system (CPPS). To realize a decentralized material supply following the overall aim of a decentralized control of all production and logistics processes, an intelligent bin system is currently developed at the ESB Logistics Learning Factory. This intelligent bin system will be integrated into the self developed, cloud-based and event-oriented SES system (so-called “Self Execution System”) which goes beyond the common functionalities and capabilities of traditional manufacturing execution systems (MES). To ensure a holistic integration of the intelligent bin for different material types into the SES framework, the required hard- and software components for the decentrally controlled bin system will be split into a common and an adaptable component. The common component represents the localization and network layer which is common for every bin, whereas the flexible component will be customizable to different requirements, like to the specific characteristics of the parts.

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Metadaten
Author of HS ReutlingenSchuhmacher, Jan; Baumung, Wjatscheslav; Hummel, Vera
URN:urn:nbn:de:bsz:rt2-opus4-15831
DOI:https://doi.org/10.1016/j.promfg.2017.04.005
ISSN:2351-9789
Erschienen in:Procedia manufacturing
Publisher:Elsevier
Place of publication:Amsterdam
Editor:Joachim Metternich
Document Type:Article
Language:English
Year of Publication:2017
Tag:cyber-physical production systems; cyber-physical systems; intelligent bin; logistics
Volume:9
Page Number:8
First Page:135
Last Page:142
DDC classes:620 Ingenieurwissenschaften und Maschinenbau
Open Access?:Ja
Licence (German):License Logo  Creative Commons - Namensnennung, nicht kommerziell, keine Bearbeitung