Work

An approach to Determine Simulation Model Complexity

Year: 2016

Type: article

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.

Source: Procedia CIRP

DOI: 10.1016/j.procir.2016.07.072

Authors: Gergely Popovics, László Monostori

Institutions: HUN-REN Institute for Computer Science and Control, Hungarian Academy of Sciences, Budapest University of Technology and Economics

Language: English

Topic: Simulation Techniques and Applications

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

Open Access status: diamond

Funders: Hungarian Scientific Research Fund, Nemzeti Kutatási Fejlesztési és Innovációs Hivatal, Nemzeti Kutatási, Fejlesztési és Innovaciós Alap

Awards: G6541960540, G7509540022