Paper Info
Title
Input data management methodology for discrete event simulation
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.
Year
DOI
Venue
2009
10.1109/WSC.2009.5429651
Winter Simulation Conference
Keywords
DocType
ISSN
discrete event simulation,idm methodology,automotive industry,core manufacturing simulation data,input data management methodology,des software,des project,idm software,input data management,aerospace industry partner,standard data format,production,data handling,project management,manufacturing,nist,unified modeling language,data mining,data models,data collection,data management,aerospace industry
Conference
0891-7736
ISBN
Citations 
PageRank 
978-1-4244-5771-7
12
0.79
References 
Authors
9
7
Name
Order
Citations
PageRank
Nils Bengtsson1201.91
Guodong Shao29715.18
Björn Johansson314620.88
Y. Tina Lee49213.45
Swee Leong510011.42
Anders Skoogh67910.03
Charles McLean717026.54