Input Data Management Methodology for Discrete Event Simulation

Published

August 26, 2009

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

Pub Type

Conferences

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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 October 13, 2025)