Core Manufacturing Simulation Data - a manufacturing simulation integration standard: overview and case studies

被引:39
|
作者
Lee, Yung-Tsun Tina [1 ]
Riddick, Frank H. [1 ]
Johansson, Bjorn Johan Ingemar [2 ]
机构
[1] Natl Inst Stand & Technol, Mfg Syst Integrat Div, Gaithersburg, MD 20899 USA
[2] Chalmers Univ Technol, Prod & Prod Dept, S-41296 Gothenburg, Sweden
关键词
CMSD; information model; interoperability; manufacturing; simulation; standard;
D O I
10.1080/0951192X.2011.574154
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Standard representations for information entities common to manufacturing simulation could help reduce the costs associated with simulation model construction and data exchange between simulation and other manufacturing applications. This would make simulation technology more affordable and accessible to a wide range of potential industrial users. To foster the more widespread use of manufacturing simulation technology through the reduction of data interoperability issues, the Core Manufacturing Simulation Data (CMSD) specification was created. CMSD is a standardised, computer-interpretable representation that allows for the efficient exchange of manufacturing shop floor-related data in a manner that it can be used in the creation and execution of manufacturing simulations. The work has being standardised under the auspices of the Simulation Interoperability Standards Organization (SISO). CMSD defines an information model that describes the characteristics of and relationships between the core manufacturing entities that define shop floor operations. This enables greater integration and data exchange possibilities for manufacturing simulations and other manufacturing applications. This article presents an overview of CMSD, its motivation, structure, and content. Descriptions of case studies using CMSD to integrate real world manufacturing applications are also presented.
引用
收藏
页码:689 / 709
页数:21
相关论文
共 50 条
  • [21] Generating large data sets for simulation of electronics manufacturing
    Zhang, P
    Pick, JB
    SIMULATION, 1998, 70 (04) : 231 - 249
  • [22] Integration of JIT flexible manufacturing, assembly and disassembly using a simulation approach
    Pisuchpen, Roongrat
    ASSEMBLY AUTOMATION, 2012, 32 (01) : 51 - 61
  • [23] Simulation Methods for Changeable Manufacturing
    Seleim, A.
    Azab, A.
    AlGeddawy, T.
    45TH CIRP CONFERENCE ON MANUFACTURING SYSTEMS 2012, 2012, 3 : 179 - 184
  • [24] Modeling and simulation in intelligent manufacturing
    Zhang, Lin
    Zhou, Longfei
    Ren, Lei
    Laili, Yuanjun
    COMPUTERS IN INDUSTRY, 2019, 112
  • [25] Simulation in manufacturing and business: A review
    Jahangirian, Mohsen
    Eldabi, Tillal
    Naseer, Aisha
    Stergioulas, Lampros K.
    Young, Terry
    EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2010, 203 (01) : 1 - 13
  • [26] INTEGRATION OF NEUROCOMPUTING AND SYSTEM SIMULATION FOR MODELING CONTINUOUS IMPROVEMENT SYSTEMS IN MANUFACTURING
    MADEY, GR
    WEINROTH, J
    SHAH, V
    JOURNAL OF INTELLIGENT MANUFACTURING, 1992, 3 (04) : 193 - 204
  • [27] Methodological approach to manufacturing simulation software selection
    Hlupic, V
    Paul, RJ
    COMPUTER INTEGRATED MANUFACTURING SYSTEMS, 1996, 9 (01): : 49 - 55
  • [28] Simulation of Titanium Parts Manufacturing
    Croitoru, Sorin Mihai
    Constantin, George
    PROCEEDINGS OF THE 1ST WSEAS INTERNATIONAL CONFERENCE ON VISUALIZATION, IMAGING AND SIMULATION (VIS'08): RECENT ADVANCES IN VISUALIZATION, IMAGING AND SIMULATION, 2008, : 121 - 126
  • [29] A simulation based DSS for modelling a manufacturing line
    Badri, MA
    Abu-Haliqa, AM
    PROCEEDINGS OF THE INDUSTRIAL & BUSINESS SIMULATION SYMPOSIUM, 1999, : 149 - 154
  • [30] AUTOMATED SIMULATION MODELING AND ANALYSIS FOR MANUFACTURING SYSTEMS
    HADDOCK, J
    PRODUCTION PLANNING & CONTROL, 1995, 6 (04) : 352 - 357