Integration von Produktionsdaten zur lebenszykluskostenorientierten Prozesskettenplanung: Verknüpfung von Betriebs-, Stamm- und Planungsdaten auf Basis OPC UA und AutomationML

Ingo Labbus; Christopher Schmidt; Sebastian Thiede; Christoph Herrmann

doi:10.3139/104.111775

Integration von Produktionsdaten zur lebenszykluskostenorientierten Prozesskettenplanung: Verknüpfung von Betriebs-, Stamm- und Planungsdaten auf Basis OPC UA und AutomationML

Translated title of the contribution: Integration of production data for life-cycle cost-oriented process chain planning: Linking of planning-, inventory-, and online shop floor data based on OPC UA and AutomationML

Ingo Labbus, Christopher Schmidt, Sebastian Thiede, Christoph Herrmann

Research output: Contribution to journal › Article › Academic › peer-review

4 Citations (Scopus)

Abstract

Integration of production data for life-cycle cost-oriented process chain planning. A framework for life cycle cost oriented design of process chains is presented. Specialized planning tools access to an integrated database (planning-, inventory-, and online shop floor data). It uses OPC UA und AutomationML to connect shop floor and planning departments and shows that data consistency is feasible with available standards. This enables a forecast of energy consumption during process chain design and a demand specific dimensioning of machine components, to ensure economically reasonable investment decisions.

Translated title of the contribution	Integration of production data for life-cycle cost-oriented process chain planning: Linking of planning-, inventory-, and online shop floor data based on OPC UA and AutomationML
Original language	German
Pages (from-to)	540-543
Number of pages	4
Journal	ZWF Zeitschrift fuer Wirtschaftlichen Fabrikbetrieb
Volume	112
Issue number	9
DOIs	https://doi.org/10.3139/104.111775
Publication status	Published - Sep 2017
Externally published	Yes

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title = "Integration von Produktionsdaten zur lebenszykluskostenorientierten Prozesskettenplanung: Verkn{\"u}pfung von Betriebs-, Stamm- und Planungsdaten auf Basis OPC UA und AutomationML",

abstract = "Integration of production data for life-cycle cost-oriented process chain planning. A framework for life cycle cost oriented design of process chains is presented. Specialized planning tools access to an integrated database (planning-, inventory-, and online shop floor data). It uses OPC UA und AutomationML to connect shop floor and planning departments and shows that data consistency is feasible with available standards. This enables a forecast of energy consumption during process chain design and a demand specific dimensioning of machine components, to ensure economically reasonable investment decisions.",

author = "Ingo Labbus and Christopher Schmidt and Sebastian Thiede and Christoph Herrmann",

year = "2017",

month = sep,

doi = "10.3139/104.111775",

language = "German",

volume = "112",

pages = "540--543",

journal = "Zeitschrift f{\"u}r wirtschaftlichen Fabrikbetrieb = ZWF",

issn = "0947-0085",

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number = "9",

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Integration von Produktionsdaten zur lebenszykluskostenorientierten Prozesskettenplanung : Verknüpfung von Betriebs-, Stamm- und Planungsdaten auf Basis OPC UA und AutomationML. / Labbus, Ingo; Schmidt, Christopher; Thiede, Sebastian et al.

In: ZWF Zeitschrift fuer Wirtschaftlichen Fabrikbetrieb, Vol. 112, No. 9, 09.2017, p. 540-543.

Research output: Contribution to journal › Article › Academic › peer-review

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T1 - Integration von Produktionsdaten zur lebenszykluskostenorientierten Prozesskettenplanung

T2 - Verknüpfung von Betriebs-, Stamm- und Planungsdaten auf Basis OPC UA und AutomationML

AU - Labbus, Ingo

AU - Schmidt, Christopher

AU - Thiede, Sebastian

AU - Herrmann, Christoph

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AB - Integration of production data for life-cycle cost-oriented process chain planning. A framework for life cycle cost oriented design of process chains is presented. Specialized planning tools access to an integrated database (planning-, inventory-, and online shop floor data). It uses OPC UA und AutomationML to connect shop floor and planning departments and shows that data consistency is feasible with available standards. This enables a forecast of energy consumption during process chain design and a demand specific dimensioning of machine components, to ensure economically reasonable investment decisions.

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Integration von Produktionsdaten zur lebenszykluskostenorientierten Prozesskettenplanung: Verknüpfung von Betriebs-, Stamm- und Planungsdaten auf Basis OPC UA und AutomationML

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