A Comparative Study of Online versus Offline Machine Shop Scheduling Methods
Year: 2025
Type: article
Abstract: Implementing complex online or offline scheduling solutions for machine shop scheduling is often difficult in practice, as these methods can be computationally expensive and difficult to understand. To provide a transition to these more complex solutions, this paper compares our proposed scheduling method based on a multi-agent system with state-of-the-art traditional offline and reinforcement learning-based online methods. Computational results indicate that our method is comparable to the existing complex offline and online methods, while computationally more advantageous, showcasing its effectiveness and flexibility.
Source: IFAC-PapersOnLine
Authors: Jeroen Didden, Quang-Vinh Dang, Ivo Adan
Institutions: VDL Groep (Netherlands), Eindhoven University of Technology
Language: English
Subfield: Industrial and Manufacturing Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4414567867