Work

Discrete Event Simulation: A Behavior Modeling Framework for Evaluating Production Schedules

Year: 2025

Type: conference-paper

Abstract: Digital twins, a key component of Industry 4.0 and IIoT, are extensively studied for their potential to enhance manufacturing efficiency. Recent advancements in the field of scheduling and planning have contributed by leveraging historical and live data, yet challenges such as data quantity and purity persist to accommodate the creation of larger and more detailed models. This study introduces a modeling framework for creating behavior models of manufacturing systems, aiming to evaluate production scheduling. The framework focuses on better interpretability and scalability, providing a more standardized workflow that supports future research and development in the field.

Source: Procedia Computer Science

DOI: 10.1016/j.procs.2025.07.037

Authors: Willem Bataillie, El-Houssaine Aghezzaf, Johannes Cottyn

Institutions: Ghent University, Flanders Make (Belgium)

Language: English

Topic: Digital Transformation in Industry

Subfield: Industrial and Manufacturing Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: diamond

Funder: Universiteit Gent