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.
|Number of pages||5|
|Publication status||Published - Jan 1 2016|
|Event||6th International Conference on Changeable, Agile, Reconfigurable and Virtual Production, CARV 2016 - Bath, United Kingdom|
Duration: Sep 4 2016 → Sep 6 2016
ASJC Scopus subject areas
- Control and Systems Engineering
- Industrial and Manufacturing Engineering