| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1698083 | Procedia CIRP | 2016 | 5 Pages |
Abstract
Discrete event simulation (DES) is an essential tool for planning, operating and evaluating manufacturing systems. Estimation of simulation model complexity provides several advantages in the planning phase of a simulation project. For this purpose some measures of the simulation model's complexity are indispensable. The paper presents an approach to determine the complexity of DES models by combining several parameters describing simulation models. The potentials of the proposed approach are examined via industrial cases.
Keywords
Related Topics
Physical Sciences and Engineering
Engineering
Industrial and Manufacturing Engineering
Authors
Gergely Popovics, László Monostori,