Keyphrases
Deep Reinforcement Learning (deep RL)
100%
Proximal Policy Optimization
100%
Job-shop Manufacturing System
100%
Dynamic Scheduling Algorithm
100%
Production System
33%
Modern Manufacturing
33%
Production Efficiency
33%
Manufacturing Environment
33%
Manufacturing Systems
33%
Learning Process
33%
Operational Decision-making
33%
Rapid Development
33%
Performance Improvement
33%
Machine Failure
33%
Process Performance
33%
Product Quality
33%
Satisfy Customer
33%
Heuristic Approach
33%
Changing Demand
33%
Production Environment
33%
State-of-the-art Techniques
33%
Reinforcement Learning Algorithm
33%
Sustainable Manufacturing
33%
Scheduling Management
33%
Digital Transformation
33%
Dynamic Production
33%
Job Shop Production
33%
Proximal Policy Optimization Algorithm
33%
Dynamic Scheduling
33%
Rule-based Heuristic
33%
Complex Production System
33%
Dynamic Scheduling Problem
33%
Industrial 4.0
33%
Reinforcement Learning Framework
33%
Computer Science
Scheduling Method
100%
Deep Reinforcement Learning
100%
Optimization Policy
100%
Decision-Making
66%
Production System
66%
Optimization Algorithm
33%
Learning Process
33%
Learning Framework
33%
Scheduling Problem
33%
Domain Knowledge
33%
Production Environment
33%
Rapid Development
33%
Digital Transformation
33%
Scheduling Requirement
33%
Engineering
Gas Fuel Manufacture
100%
Reinforcement Learning
100%
Proximal Policy Optimization
100%
Production System
66%
Design and Environment
33%
Sustainable Manufacturing
33%
Production Environment
33%
State-of-the-Art Method
33%
Modern Manufacturing
33%
Domain Knowledge
33%
Chemical Engineering
Reinforcement Learning
100%