DC FieldValueLanguage
dc.contributor.authorGehlhoff, Felix-
dc.contributor.authorBusert, Timo-
dc.contributor.authorLewin, Marcus-
dc.contributor.authorFay, Alexander-
dc.date.accessioned2023-04-04T09:55:39Z-
dc.date.available2023-04-04T09:55:39Z-
dc.date.issued2018-10-22-
dc.identifier.isbn9781538671085-
dc.identifier.issn1946-0759-
dc.identifier.issn1946-0740-
dc.description.abstractDynamic markets drive the need for more flexible and robust production systems. Agents are a means to cope with this new reality by providing dynamic scheduling functionalities. However, agents have rarely made the step from research labs to real production environments so far. To perform in these environments, the agents need to cope with real and therefore often imperfect information. This holds especially true for agent-systems performing integrated scheduling of production and transportation processes using real-time location information. In this paper, a modeling framework is proposed that is based on accuracy, granularity, and frequency as universal quality dimensions for information that should be incorporated in decision-making. These dimensions are applied within an agent-based system that is to perform integrated dynamic scheduling in a real manufacturing environment.-
dc.description.sponsorshipAutomatisierungstechnik-
dc.language.isoeng-
dc.publisherIEEE-
dc.subjectAgent-based Dynamic Scheduling-
dc.subjectInformation Quality-
dc.subjectReal-time Location Information-
dc.titleIncorporating Imperfect Information in Decentralized Agent-Based Dynamic and Integrated Scheduling-
dc.typeConference Object-
dc.relation.conferenceIEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA); 04-07 September 2018, Turin, Italy-
dc.identifier.doi10.1109/ETFA.2018.8502454-
dc.identifier.scopus2-s2.0-85057258578-
dcterms.bibliographicCitation.pagestart816-
dcterms.bibliographicCitation.pageend823-
dcterms.bibliographicCitation.originalpublisherplacePiscataway-
dcterms.bibliographicCitation.booktitle2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA)-
local.submission.typeonly-metadata-
dc.type.conferenceObjectConference Paper-
hsu.peerReviewed-
item.grantfulltextnone-
item.openairetypeConference Object-
item.fulltext_sNo Fulltext-
item.languageiso639-1en-
item.fulltextNo Fulltext-
crisitem.author.deptAutomatisierungstechnik-
crisitem.author.deptAutomatisierungstechnik-
crisitem.author.orcid0000-0002-1922-654X-
crisitem.author.parentorgFakultät für Maschinenbau und Bauingenieurwesen-
crisitem.author.parentorgFakultät für Maschinenbau und Bauingenieurwesen-
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