Dynamic flexible job shop scheduling under worker constraints with learning-forgetting effects via Q-learning-enhanced algorithm assisted by digital twin
Abstract
This is the experimental data of the manuscript entitled “Dynamic flexible job shop scheduling under worker constraints with learning-forgetting effects via Q-learning-enhanced algorithm assisted by digital twin”.
Fields of Study & Subjects
Scheduling and Optimization Algorithms
Advanced Manufacturing and Logistics Optimization
Digital Transformation in Industry
Publication details
- Journal / source
- Figshare
- Publication date
- 1 January 2026