Learning Flexible Job Shop Scheduling under Limited Buffers and Material Kitting Constraints
Fuente:
arXiv
Saved in:
| Main Authors: | Zhang, Shishun, Xu, Juzhan, Fan, Yidan, Zhu, Chenyang, Hu, Ruizhen, Wang, Yongjun, Xu, Kai |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Investigation of the Generalisation Ability of Genetic Programming-evolved Scheduling Rules in Dynamic Flexible Job Shop Scheduling
by: Zhu, Luyao, et al.
Published: (2026)
by: Zhu, Luyao, et al.
Published: (2026)
Deep Reinforcement Learning for Flexible Job Shop Scheduling with Random Job Arrivals
by: Tang, Yu, et al.
Published: (2026)
by: Tang, Yu, et al.
Published: (2026)
Learning to Solve Job Shop Scheduling under Uncertainty
by: Infantes, Guillaume, et al.
Published: (2024)
by: Infantes, Guillaume, et al.
Published: (2024)
Leveraging Constraint Programming in a Deep Learning Approach for Dynamically Solving the Flexible Job-Shop Scheduling Problem
by: Echeverria, Imanol, et al.
Published: (2024)
by: Echeverria, Imanol, et al.
Published: (2024)
Learning Memory-Enhanced Improvement Heuristics for Flexible Job Shop Scheduling
by: Wang, Jiaqi, et al.
Published: (2026)
by: Wang, Jiaqi, et al.
Published: (2026)
Neural Combinatorial Optimization for Stochastic Flexible Job Shop Scheduling Problems
by: Smit, Igor G., et al.
Published: (2024)
by: Smit, Igor G., et al.
Published: (2024)
Offline Reinforcement Learning for Learning to Dispatch for Job Shop Scheduling
by: van Remmerden, Jesse, et al.
Published: (2024)
by: van Remmerden, Jesse, et al.
Published: (2024)
Adaptive Bias Generalized Rollout Policy Adaptation on the Flexible Job-Shop Scheduling Problem
by: Kobrosly, Lotfi, et al.
Published: (2025)
by: Kobrosly, Lotfi, et al.
Published: (2025)
Self-Evaluation for Job-Shop Scheduling
by: Echeverria, Imanol, et al.
Published: (2025)
by: Echeverria, Imanol, et al.
Published: (2025)
Variational Approach for Job Shop Scheduling
by: Oh, Seung Heon, et al.
Published: (2026)
by: Oh, Seung Heon, et al.
Published: (2026)
Graph-RHO: Critical-path-aware Heterogeneous Graph Network for Long-Horizon Flexible Job-Shop Scheduling
by: Li, Yujie, et al.
Published: (2026)
by: Li, Yujie, et al.
Published: (2026)
Learning-Guided Rolling Horizon Optimization for Long-Horizon Flexible Job-Shop Scheduling
by: Li, Sirui, et al.
Published: (2025)
by: Li, Sirui, et al.
Published: (2025)
Deep Reinforcement Learning Guided Improvement Heuristic for Job Shop Scheduling
by: Zhang, Cong, et al.
Published: (2022)
by: Zhang, Cong, et al.
Published: (2022)
ReflecSched: Solving Dynamic Flexible Job-Shop Scheduling via LLM-Powered Hierarchical Reflection
by: Cao, Shijie, et al.
Published: (2025)
by: Cao, Shijie, et al.
Published: (2025)
RESCHED: Rethinking Flexible Job Shop Scheduling from a Transformer-based Architecture with Simplified States
by: Xiao, Xiangjie, et al.
Published: (2026)
by: Xiao, Xiangjie, et al.
Published: (2026)
Job Shop Scheduling Benchmark: Environments and Instances for Learning and Non-learning Methods
by: Reijnen, Robbert, et al.
Published: (2023)
by: Reijnen, Robbert, et al.
Published: (2023)
Learning Dual-arm Object Rearrangement for Cartesian Robots
by: Zhang, Shishun, et al.
Published: (2024)
by: Zhang, Shishun, et al.
Published: (2024)
Policy-Based Deep Reinforcement Learning Hyperheuristics for Job-Shop Scheduling Problems
by: Lassoued, Sofiene, et al.
Published: (2026)
by: Lassoued, Sofiene, et al.
Published: (2026)
Discrete Differential Evolution Particle Swarm Optimization Algorithm for Energy Saving Flexible Job Shop Scheduling Problem Considering Machine Multi States
by: Wang, Da, et al.
Published: (2025)
by: Wang, Da, et al.
Published: (2025)
Starjob: Dataset for LLM-Driven Job Shop Scheduling
by: Abgaryan, Henrik, et al.
Published: (2025)
by: Abgaryan, Henrik, et al.
Published: (2025)
Attention-based Reinforcement Learning for Combinatorial Optimization: Application to Job Shop Scheduling Problem
by: Lee, Jaejin, et al.
Published: (2024)
by: Lee, Jaejin, et al.
Published: (2024)
Graph Neural Networks for Job Shop Scheduling Problems: A Survey
by: Smit, Igor G., et al.
Published: (2024)
by: Smit, Igor G., et al.
Published: (2024)
Online Operator Design in Evolutionary Optimization for Flexible Job Shop Scheduling via Large Language Models
by: Liao, Rongjie, et al.
Published: (2025)
by: Liao, Rongjie, et al.
Published: (2025)
An Analysis of the Coordination Gap between Joint and Modular Learning for Job Shop Scheduling with Transportation Resources
by: Link, Moritz, et al.
Published: (2026)
by: Link, Moritz, et al.
Published: (2026)
Learning Topological Representations with Bidirectional Graph Attention Network for Solving Job Shop Scheduling Problem
by: Zhang, Cong, et al.
Published: (2024)
by: Zhang, Cong, et al.
Published: (2024)
Self-Labeling the Job Shop Scheduling Problem
by: Corsini, Andrea, et al.
Published: (2024)
by: Corsini, Andrea, et al.
Published: (2024)
Policy-Based Reinforcement Learning with Action Masking for Dynamic Job Shop Scheduling under Uncertainty: Handling Random Arrivals and Machine Failures
by: Lassoued, Sofiene, et al.
Published: (2026)
by: Lassoued, Sofiene, et al.
Published: (2026)
HGT-Scheduler: Deep Reinforcement Learning for the Job Shop Scheduling Problem via Heterogeneous Graph Transformers
by: Soykan, Bulent
Published: (2026)
by: Soykan, Bulent
Published: (2026)
Low-Cost Labels, Reliable Choices: Rollout-Calibrated Hyper-Heuristics for Job Shop Scheduling
by: Wei, Junhao, et al.
Published: (2026)
by: Wei, Junhao, et al.
Published: (2026)
An Expectation-Maximization Algorithm-based Autoregressive Model for the Fuzzy Job Shop Scheduling Problem
by: Wang, Yijian, et al.
Published: (2025)
by: Wang, Yijian, et al.
Published: (2025)
DyRo-MCTS: A Robust Monte Carlo Tree Search Approach to Dynamic Job Shop Scheduling
by: Chen, Ruiqi, et al.
Published: (2025)
by: Chen, Ruiqi, et al.
Published: (2025)
Decision Transformer for Enhancing Neural Local Search on the Job Shop Scheduling Problem
by: de Puiseau, Constantin Waubert, et al.
Published: (2024)
by: de Puiseau, Constantin Waubert, et al.
Published: (2024)
Beyond Training: Optimizing Reinforcement Learning Based Job Shop Scheduling Through Adaptive Action Sampling
by: de Puiseau, Constantin Waubert, et al.
Published: (2024)
by: de Puiseau, Constantin Waubert, et al.
Published: (2024)
Automated Constraint Specification for Job Scheduling by Regulating Generative Model with Domain-Specific Representation
by: Shi, Yu-Zhe, et al.
Published: (2025)
by: Shi, Yu-Zhe, et al.
Published: (2025)
RoboBPP: Benchmarking Robotic Online Bin Packing with Physics-based Simulation
by: Wang, Zhoufeng, et al.
Published: (2025)
by: Wang, Zhoufeng, et al.
Published: (2025)
Investigating the Monte-Carlo Tree Search Approach for the Job Shop Scheduling Problem
by: Boveroux, Laurie, et al.
Published: (2025)
by: Boveroux, Laurie, et al.
Published: (2025)
Deliberate Planning of 3D Bin Packing on Packing Configuration Trees
by: Zhao, Hang, et al.
Published: (2025)
by: Zhao, Hang, et al.
Published: (2025)
Instance Configuration for Sustainable Job Shop Scheduling
by: Perez, Christian, et al.
Published: (2024)
by: Perez, Christian, et al.
Published: (2024)
Genetic-based Constraint Programming for Resource Constrained Job Scheduling
by: Nguyen, Su, et al.
Published: (2024)
by: Nguyen, Su, et al.
Published: (2024)
Learning-enabled Flexible Job-shop Scheduling for Scalable Smart Manufacturing
by: Moon, Sihoon, et al.
Published: (2024)
by: Moon, Sihoon, et al.
Published: (2024)
Similar Items
-
Investigation of the Generalisation Ability of Genetic Programming-evolved Scheduling Rules in Dynamic Flexible Job Shop Scheduling
by: Zhu, Luyao, et al.
Published: (2026) -
Deep Reinforcement Learning for Flexible Job Shop Scheduling with Random Job Arrivals
by: Tang, Yu, et al.
Published: (2026) -
Learning to Solve Job Shop Scheduling under Uncertainty
by: Infantes, Guillaume, et al.
Published: (2024) -
Leveraging Constraint Programming in a Deep Learning Approach for Dynamically Solving the Flexible Job-Shop Scheduling Problem
by: Echeverria, Imanol, et al.
Published: (2024) -
Learning Memory-Enhanced Improvement Heuristics for Flexible Job Shop Scheduling
by: Wang, Jiaqi, et al.
Published: (2026)