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Input Data Management Methodology for Discrete Event Simulation

Published

Author(s)

Nils E. Bengtsson, Guodong Shao, Yung-Tsun T. Lee, Swee K. Leong, Charles R. McLean, Bjorn Johansson, Anders Skoogh

Abstract

Input Data Management (IDM) is a time consuming and costly process for Discrete Event Simulation (DES) projects. In this paper, a methodology for IDM in DES projects is described. The approach is to use a methodology to identify and collect data, then use an IDM software to extract and process the data. The IDM software will structure and present the data in Core Manufacturing Simulation Data (CMSD) format, which is aimed to be a standard data format for any DES software. The IDM methodology was previously developed and tested by Chalmers University of Technology in a case study in the automotive industry. This paper presents a second test implementation in a project at the National Institute of Standards and Technology (NIST) in collaboration with an aerospace industry partner.
Proceedings Title
Proceedings of the 2009 Winter Simulation Conference
Conference Dates
December 13-16, 2009
Conference Location
Austin, TX

Keywords

Input Data Management (IDM), Discrete Event Simulation (DES), Core Manufacturing Simulation Data (CMSD)

Citation

Bengtsson, N. , Shao, G. , Lee, Y. , Leong, S. , McLean, C. , Johansson, B. and Skoogh, A. (2009), Input Data Management Methodology for Discrete Event Simulation, Proceedings of the 2009 Winter Simulation Conference, Austin, TX, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=903056 (Accessed June 20, 2024)

Issues

If you have any questions about this publication or are having problems accessing it, please contact reflib@nist.gov.

Created August 26, 2009, Updated February 19, 2017