학술논문

A role-based Metric to determine the Quality of Simulation Models
Document Type
Conference
Source
2023 IEEE 28th International Conference on Emerging Technologies and Factory Automation (ETFA) Emerging Technologies and Factory Automation (ETFA), 2023 IEEE 28th International Conference on. :1-8 Sep, 2023
Subject
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Robotics and Control Systems
Measurement
Digital twins
Modeling
Manufacturing automation
Business
simulation models
quality metric
roles
use-cases
engineering lifecycle
Language
ISSN
1946-0759
Abstract
With the progressive development of digital twins, simulation models are becoming increasingly important. They are already a central artefact in the entire systems engineering and are becoming an substantial part of the delivery, either a virtual or a real product, itself. In contrast to physical components, whose quality requirements are defined very precisely in terms of detailed specifications, this is rarely the case with simulation models. On the one hand, this is due to the novelty of simulation models as an independent good and, on the other hand, to the fact that there are no comprehensively defined quality criteria for simulation models. The authors address this problem and present a role-based metric for objectively determining the quality of simulation models. In addition to the quality-relevant attributes, a role concept is presented that enables the seamless application of the metric. The objective is for the quality level to be specified on a transparent and measurable basis and can thus become part of the business in automation technology.