Input Data Management Methodology for Discrete Event Simulation
Nils E. Bengtsson, Guodong Shao, Yung-Tsun T. Lee, Swee K. Leong, Charles R. McLean, Bjorn Johansson, Anders Skoogh
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 of the 2009 Winter Simulation Conference
, Shao, G.
, Lee, Y.
, Leong, S.
, McLean, C.
, Johansson, B.
and Skoogh, A.
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 December 10, 2023)