A virtual milling machine model to generate machine-monitoring data for predictive analytics

David Lechevalier, Seung Jun Shin, Jungyub Woo, Sudarsan Rachuri, Sebti Foufou

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    Real data from manufacturing processes are essential to create useful insights for decision-making. However, acquiring real manufacturing data can be expensive and time consuming. To address this issue, we implement a virtual milling machine model to generate machine monitoring data from process plans. MTConnect is used to report the monitoring data. This paper presents (1) the characteristics and specification of milling machine tools, (2) the architecture for implementing the virtual milling machine model, and (3) the integration with a simulation environment for extending to a virtual shop floor model. This paper also includes a case study to explain how to use the virtual milling machine model for predictive analytics modeling.

    Original languageEnglish (US)
    Title of host publicationProduct Lifecycle Management in the Era of Internet of Things - 12th IFIP WG 5.1 International Conference, PLM 2015, Revised Selected Papers
    PublisherSpringer New York LLC
    Pages835-845
    Number of pages11
    ISBN (Print)9783319331102
    DOIs
    StatePublished - Jan 1 2016
    Event12th IFIP WG 5.1 International Conference on Product Lifecycle Management in the Era of Internet of Things, PLM 2015 - Doha, Qatar
    Duration: Oct 19 2015Oct 21 2015

    Publication series

    NameIFIP Advances in Information and Communication Technology
    Volume467
    ISSN (Print)1868-4238

    Other

    Other12th IFIP WG 5.1 International Conference on Product Lifecycle Management in the Era of Internet of Things, PLM 2015
    CountryQatar
    CityDoha
    Period10/19/1510/21/15

    Fingerprint

    Milling
    Monitoring
    Shopfloor
    Manufacturing process
    Decision making
    Machine tool
    Manufacturing
    Simulation
    Modeling

    Keywords

    • Data analytics
    • Data generator
    • Milling
    • MTConnect
    • STEP

    ASJC Scopus subject areas

    • Information Systems and Management

    Cite this

    Lechevalier, D., Shin, S. J., Woo, J., Rachuri, S., & Foufou, S. (2016). A virtual milling machine model to generate machine-monitoring data for predictive analytics. In Product Lifecycle Management in the Era of Internet of Things - 12th IFIP WG 5.1 International Conference, PLM 2015, Revised Selected Papers (pp. 835-845). (IFIP Advances in Information and Communication Technology; Vol. 467). Springer New York LLC. https://doi.org/10.1007/978-3-319-33111-9_76

    A virtual milling machine model to generate machine-monitoring data for predictive analytics. / Lechevalier, David; Shin, Seung Jun; Woo, Jungyub; Rachuri, Sudarsan; Foufou, Sebti.

    Product Lifecycle Management in the Era of Internet of Things - 12th IFIP WG 5.1 International Conference, PLM 2015, Revised Selected Papers. Springer New York LLC, 2016. p. 835-845 (IFIP Advances in Information and Communication Technology; Vol. 467).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Lechevalier, D, Shin, SJ, Woo, J, Rachuri, S & Foufou, S 2016, A virtual milling machine model to generate machine-monitoring data for predictive analytics. in Product Lifecycle Management in the Era of Internet of Things - 12th IFIP WG 5.1 International Conference, PLM 2015, Revised Selected Papers. IFIP Advances in Information and Communication Technology, vol. 467, Springer New York LLC, pp. 835-845, 12th IFIP WG 5.1 International Conference on Product Lifecycle Management in the Era of Internet of Things, PLM 2015, Doha, Qatar, 10/19/15. https://doi.org/10.1007/978-3-319-33111-9_76
    Lechevalier D, Shin SJ, Woo J, Rachuri S, Foufou S. A virtual milling machine model to generate machine-monitoring data for predictive analytics. In Product Lifecycle Management in the Era of Internet of Things - 12th IFIP WG 5.1 International Conference, PLM 2015, Revised Selected Papers. Springer New York LLC. 2016. p. 835-845. (IFIP Advances in Information and Communication Technology). https://doi.org/10.1007/978-3-319-33111-9_76
    Lechevalier, David ; Shin, Seung Jun ; Woo, Jungyub ; Rachuri, Sudarsan ; Foufou, Sebti. / A virtual milling machine model to generate machine-monitoring data for predictive analytics. Product Lifecycle Management in the Era of Internet of Things - 12th IFIP WG 5.1 International Conference, PLM 2015, Revised Selected Papers. Springer New York LLC, 2016. pp. 835-845 (IFIP Advances in Information and Communication Technology).
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