Planning of Eco-efficient Process Chains for Automotive Component Manufacturing / by Christopher Schmidt

Von:

Schmidt, Christopher [VerfasserIn]

Resource type: Ressourcentyp: Buch (Online)Buch (Online)Sprache: Englisch Reihen: Sustainable Production, Life Cycle Engineering and Management | Springer eBook CollectionVerlag: Cham : Springer International Publishing, 2021Verlag: Cham : Imprint: Springer, 2021Auflage: 1st ed. 2021Beschreibung: 1 Online-Ressource(XVII, 167 p. 119 illus.)ISBN:

9783030658908

Schlagwörter:

Andere physische Formen: 9783030629564 | Erscheint auch als: 9783030629564 Druck-Ausgabe | Erscheint auch als: Planning of eco-efficient process chains for automotive component manufacturing. Druck-Ausgabe Cham : Springer Nature, 2021. xvii, 167 SeitenDDC-Klassifikation:

670 23

DOI: DOI: 10.1007/978-3-030-65890-8Online-Ressourcen:

Zusammenfassung: Introduction -- Planning of automotive component manufacturing systems -- State of research -- Concept for the planning of eco-efficient process chains and implementation -- Exemplary applications of tools -- Concluding remarks.Zusammenfassung: This book includes the introduction of emerging manufacturing technologies and planning cases with established technologies. The planning of eco-efficient process chains is crucial for manufacturing companies. However, in the state-of-the-art planning, various barriers exist towards the integration of the environmental dimension. Against this background, a concept for the integration of classic lean and environmental criteria into the three planning phases of process chains is presented. During concept planning, the Technology Assessment Tool supports planners in the identification of eco-efficient technologies. During rough planning, the Value Stream Design Tool enables the derivation of a production line based on workpiece characteristics. For detailed planning, tools for eco-efficient machine and process chain configuration are provided. Three case studies from large-scale automotive component manufacturing with established and emerging technologies demonstrate the tool applicability.PPN: PPN: 1746364351Package identifier: Produktsigel: ZDB-2-ENG | ZDB-2-SEB | ZDB-2-SXE

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