• DocumentCode
    3374076
  • Title

    A framework for interoperable sustainable manufacturing process analysis applications development

  • Author

    Guodong Shao ; Riddick, F. ; Ju Yeon Lee ; Duck Bong Kim ; Lee, Y.T. ; Campanelli, Mark

  • Author_Institution
    Syst. Integration Div., Nat. Inst. of Stand. & Technol., Gaithersburg, MD, USA
  • fYear
    2012
  • fDate
    9-12 Dec. 2012
  • Firstpage
    1
  • Lastpage
    11
  • Abstract
    Sustainable manufacturing (SM) continues to grow in importance. However, analysis tools to assess the sustainability performance of SM processes are difficult to verify and validate. Additionally, the ability to share and reuse SM information is hampered by a lack of (1) standards to represent that information, (2) interoperability among the engineering applications that use that information, and (3) consistency across the current approaches for modeling that information. This paper focuses on an integrated approach required to address these limitations, proposing a framework that will enable sustainable manufacturing process analysis applications to be developed by manufacturers. The framework will facilitate the developing of analysis platforms and sustainable manufacturing information models by enabling the integration of simulation and optimization model components to analyze processes at different operational levels. An example is provided to illustrate the framework.
  • Keywords
    manufacturing processes; optimisation; production engineering computing; sustainable development; SM processes; engineering applications; interoperable sustainable manufacturing process analysis applications development; operational levels; optimization model; sustainable manufacturing information models; Analytical models; Data models; Manufacturing processes; Measurement; NIST; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Simulation Conference (WSC), Proceedings of the 2012 Winter
  • Conference_Location
    Berlin
  • ISSN
    0891-7736
  • Print_ISBN
    978-1-4673-4779-2
  • Electronic_ISBN
    0891-7736
  • Type

    conf

  • DOI
    10.1109/WSC.2012.6465076
  • Filename
    6465076