• DocumentCode
    3717453
  • Title

    Analysis of key operation performance data in manufacturing systems

  • Author

    Ningxuan Kang;Cong Zhao;Jingshan Li;John A. Horst

  • Author_Institution
    Department of Industrial and Systems Engineering, University of Wisconsin, Madison, WI 53706, USA
  • fYear
    2015
  • Firstpage
    2767
  • Lastpage
    2770
  • Abstract
    In modern manufacturing systems, the key performance indicators (KPIs) are defined as a set of metrics to reflect operation performance. The KPIs are not independent and may have intrinsic mutual relationships. In this paper, by categorizing such data into basic and comprehensive KPIs and supporting metrics, we introduce a hierarchical structure for identification and analysis of KPIs in manufacturing operation management, and use it to investigate pairwise relationship and dependencies between KPIs and supporting metrics.
  • Keywords
    "Maintenance engineering","Measurement","Gold","Resource management","Manufacturing systems"
  • Publisher
    ieee
  • Conference_Titel
    Big Data (Big Data), 2015 IEEE International Conference on
  • Type

    conf

  • DOI
    10.1109/BigData.2015.7364078
  • Filename
    7364078
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3717453