Abstract
Performance indicators (PIs) are used to monitor and assess production systems. There are thousands of PIs described in standards or in commercial PI collections; however, the PIs implemented in the factories may differ enormously due to use-case-specific requirements. In this work a reference model is proposed to support the process from a generic description to a use case specific PI implementation. There are two exemplary implementations described utilizing data stream processing and database technologies.
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International Organization for Standardization (ISO): ISO/CD 22400-2: Automation systems and integration - Key performance indicators (KPIs) for manufacturing operations management - Part 2: Definitions and descriptions (May 2012)
Verband Deutscher Maschinen- und Anlagenbau e.V (VDMA): VDMA-Einheitsblatt 66412-1 – Manufacturing Execution Systems (MES) – Kennzahlen (October 2009)
KPI Library B.V.: KPI Library, http://kpilibrary.com/
SAP AG: SAP Developers Network - KPIs, http://wiki.sdn.sap.com/wiki/display/KPI
The KPI Institute Pty. Ltd.: SmartKPIs.com, http://www.smartkpis.com
Chryssolouris, G.: Manufacturing Systems: Theory and Practice, 2nd edn. Springer (2006)
Jones, A., McLean, C.: A proposed hierarchical control model for automated manufacturing systems. Journal of Manufacturing Systems 5(1), 15–25 (1986)
Westkämper, E., Hummel, V.: The Stuttgart Enterprise Model - Integrated Engineering of Strategic & Operational Functions. CIRP Seminars on Manufacturing Systems 35(1), 89–93 (2006)
Catron, B.A.: A Framework for Semiconductor Manufacturing. In: 3rd DARPASCR CIM-CI Workshop, Stanford, CA (1988)
Sybase Inc.: CCL Reference Guide - Sybase CEP Option R4 (2011), http://infocenter.sybase.com/help/topic/com.sybase.infocenter.dc01031.0400/doc/pdf/CEP_CCLReference.pdf
Schramm, A., Wolf, B., Hartung, R., Preußner, A.: Real-time production monitoring in large heterogeneous environments. In: Emmanouilidis, C., Taisch, M., Kiritsis, D. (eds.) APMS 2012, Part II. IFIP AICT, vol. 398, pp. 72–79. Springer, Heidelberg (2013)
Hesse, S., Vasyutynskyy, V., Rosjat, M., Hengstler, C.: Modeling and Presentation of Interdependencies between Key Performance Indicators for Visual Analysis Support. In: Emmanouilidis, C., Taisch, M., Kiritsis, D. (eds.) APMS 2012, Part II. IFIP AICT, vol. 398, pp. 281–288. Springer, Heidelberg (2013)
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Hesse, S., Wolf, B., Rosjat, M., Nadoveza, D., Pintzos, G. (2013). Reference Model Concept for Structuring and Representing Performance Indicators in Manufacturing. In: Emmanouilidis, C., Taisch, M., Kiritsis, D. (eds) Advances in Production Management Systems. Competitive Manufacturing for Innovative Products and Services. APMS 2012. IFIP Advances in Information and Communication Technology, vol 398. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40361-3_37
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DOI: https://doi.org/10.1007/978-3-642-40361-3_37
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