A Methodology for Input Data Management in Discrete Event Simulation Projects
Paper in proceeding, 2008

Discrete event simulation (DES) projects rely heavily on high input data quality. Therefore, the input data management process is very important and, thus, consumes an extensive amount of time. To secure quality and increase rapidity in DES projects, there are well structured methodologies to follow, but a detailed guideline for how to perform the crucial process of handling input data, is missing. This paper presents such a structured methodology, including description of 13 activities and their internal connections. Having this kind of methodology available, our hypothesis is that the structured way to work increases rapidity for input data management and, consequently, also for entire DES projects. The improvement is expected to be larger in companies with low or medium experience in DES.

Input data management

Discrete event simulation

Production

Author

Anders Skoogh

Chalmers, Product and Production Development, Production Systems

Björn Johansson

Chalmers, Product and Production Development, Production Systems

In Proceedings of the 2008 Winter Simulation Conference

1727-1735
978-1-4244-2707-9 (ISBN)

Subject Categories

Production Engineering, Human Work Science and Ergonomics

Driving Forces

Sustainable development

Areas of Advance

Production

ISBN

978-1-4244-2707-9

More information

Created

10/7/2017