Production at the Leading Edge of Technology
This open access book contains all contributions to the congress, in which both detailed scientific investigations and technological innovations in the process chains of machining and forming are discussed as well as comprehensive, far-sighted overall views on the planning and control of production...
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| Formato: | Libro |
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Springer Nature Switzerland
2026
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=nlebk&AN=4528861&site=ehost-live header: @attributes: shortDbName: nlebk uiTerm: 4528861 longDbName: eBook Collection (EBSCOhost) uiTag: AN controlInfo: bkinfo: btl: Production at the Leading Edge of Technology aug: au: Ludger Overmeyer Bernd-Arno Behrens isbn: 9783032195234 9783032195241 imageinfo: pubinfo: dt: @attributes: year: 2026 month: 01 day: 01 pub: Springer Nature Switzerland pubContract: Springer Nature place: [N.p.] price: 0.01 limitsGroup: maxCheckoutDays: 1500 copyPages: 10 pda: N printPagesOffline: 10 printPagesOnline: 10 previewPages: 0 artinfo: ui: 4528861 1602865613 formats: fmt: – @attributes: type: EB doid: NL$4528861$PDF caption: PDF download: Y – @attributes: type: EK doid: NL$4528861$EPUB caption: EPUB download: Y tig: atl: Production at the Leading Edge of Technology ptl: Production at the Leading Edge of Technology aug: au: Ludger Overmeyer Bernd-Arno Behrens sug: subj: TECHNOLOGY & ENGINEERING / Industrial Engineering ab: This open access book contains all contributions to the congress, in which both detailed scientific investigations and technological innovations in the process chains of machining and forming are discussed as well as comprehensive, far-sighted overall views on the planning and control of production processes. These approaches are supplemented by more interdisciplinary cross-sectional topics such as robotics, control engineering, automation, materials technology, additive manufacturing and human-centered production. It is particularly striking that the main approaches presented aim to improve efficiency in production using data-driven methods such as machine learning and artificial intelligence. However, the use of measurement results to improve simulations is also frequently addressed. The book proceedings show that transformations can only succeed through the realization of both detailed technical improvements in production technologies and optimized production organization. pubtype: eBook doctype: Book ougenre: Book language: English copyright: @attributes: flag: N copyrightText: holdings: @attributes: islocal: N |
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