Core Manufacturing Simulation Data – a manufacturing simulation integration standard: overview and case studies
Artikel i vetenskaplig tidskrift, 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.

simulation

standard

information model

interoperability

manufacturing

CMSD

Författare

Yung-Tsun Tina Lee

National Institute of Standards and Technology

Frank Riddick

National Institute of Standards and Technology

Björn Johansson

Chalmers, Produkt- och produktionsutveckling, Produktionssystem

International Journal of Computer Integrated Manufacturing

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

Vol. 24 8 689-709

Ämneskategorier

Produktionsteknik, arbetsvetenskap och ergonomi

Annan data- och informationsvetenskap

Beräkningsmatematik

Annan naturresursteknik

Systemvetenskap

Sannolikhetsteori och statistik

Drivkrafter

Hållbar utveckling

Styrkeområden

Produktion

DOI

10.1080/0951192X.2011.574154

Mer information

Skapat

2017-10-08