Core Manufacturing Simulation Data – a manufacturing simulation integration standard: overview and case studies
Journal article, 2011

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. The Core Manufacturing Simulation Data (CMSD) specification was created to foster the more widespread use of manufacturing simulation technology through the reduction of data interoperability issues. CMSD is a standardized, computer-interpretable representation that allows for the efficient exchange of manufacturing shop-floor-related data in a manner that it can be used to create and execute manufacturing simulations. CMSD was standardized under the auspices of the international Simulation Interoperability Standards Organization (SISO). It 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 paper presents an overview of CMSD, its motivation, structure, and content. Case studies using CMSD to integrate real world manufacturing applications are also presented.



information model





Yung-Tsun Tina Lee

National Institute of Standards and Technology

Frank Riddick

National Institute of Standards and Technology

Björn Johansson

Chalmers, Product and Production Development, Production Systems

International Journal of Computer Integrated Manufacturing

0951-192X (ISSN) 1362-3052 (eISSN)

Vol. 24 8 689-709

Subject Categories

Production Engineering, Human Work Science and Ergonomics

Other Computer and Information Science

Computational Mathematics

Other Environmental Engineering

Information Science

Probability Theory and Statistics

Driving Forces

Sustainable development

Areas of Advance




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