Resource Scheduling Optimisation Study Considering Both Supply and Demand Sides of Services under Cloud Manufacturing

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datacite.relatedItem.firstPage133
datacite.relatedItem.issue4
datacite.relatedItem.relatedIdentifierTypeISSN
datacite.relatedItem.relatedItemIdentifier2079-8954
datacite.relatedItem.relationTypeIsPublishedIn
datacite.relatedItem.titleSystems
datacite.relatedItem.volume12
dc.contributor.authorQinglei Zhang
dc.contributor.authorNing Li
dc.contributor.authorJianguo Duan
dc.contributor.authorJiyun Qin
dc.contributor.authorYing Zhou
dc.date.accessioned2025-05-22T12:16:28Z
dc.date.available2025-05-22T12:16:28Z
dc.date.issued2024
dc.identifier.doihttps://doi.org/10.3390/systems12040133
dc.identifier.otherjz000181-0131
dc.identifier.urihttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/40186
dc.publisherMDPI AG
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject.ddc600
dc.titleResource Scheduling Optimisation Study Considering Both Supply and Demand Sides of Services under Cloud Manufacturing
dc.typeArticle
dcat.distribution.pdfhttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/40187
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