专题:Scheduling and Optimization Algorithms

This cluster of papers focuses on scheduling problems in manufacturing systems, particularly addressing issues such as setup times, batching, dynamic scheduling, energy efficiency, and multi-objective optimization. It explores various techniques including genetic algorithms, agent-based control, and hybrid optimization to improve scheduling efficiency and effectiveness in manufacturing processes.
最新文献
Multiresource-Constrained Flexible Job Shop Scheduling With Fixture Pallets and Setup Stations Under Pallet Automation Systems

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Automatic Programming via Large Language Models With Population Self-Evolution for Dynamic Fuzzy Job Shop Scheduling Problem

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A Review of Production Scheduling with Artificial Intelligence and Digital Twins

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Gini population diversity-guided optimization for Flexible Job-Shop Scheduling in discrete manufacturing systems

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An explainable fuzzy collaborative intelligence approach for prioritizing possible measures to tackle challenges in semiconductor manufacturing supply chain localization

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Dual Resource Scheduling Method of Production Equipment and Rail-Guided Vehicles Based on Proximal Policy Optimization Algorithm

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A Data-Driven Approach for Real-Time Bottleneck Detection and Optimization in Semiconductor Manufacturing Using Active Period Method and Visualization

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A reinforcement learning-based two-stage NSGA-II for dynamic flexible job shop scheduling problem with transportation constraints considering participators’ perception

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Research on the Optimization of Uncertain Multi-Stage Production Integrated Decisions Based on an Improved Grey Wolf Optimizer

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Resource Allocation and Minmax Scheduling Under Group Technology and Different Due-Window Assignments

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近5年高被引文献
Revolutionizing Supply Chain Management: Real-time Data Processing and Concurrency

article Full Text OpenAlex 1321 FWCI697.323

IEEE Transactions on Industrial Informatics

paratext Full Text OpenAlex 588 FWCI0

Flexible Job-Shop Scheduling via Graph Neural Network and Deep Reinforcement Learning

article Full Text OpenAlex 380 FWCI46.3708

A multi-action deep reinforcement learning framework for flexible Job-shop scheduling problem

article Full Text OpenAlex 286 FWCI35.8475

Agentic AI: Autonomous Intelligence for Complex Goals—A Comprehensive Survey

article Full Text OpenAlex 285 FWCI377.3397

Deep reinforcement learning in smart manufacturing: A review and prospects

review Full Text OpenAlex 281 FWCI35.8423

Solving Multiobjective Fuzzy Job-Shop Scheduling Problem by a Hybrid Adaptive Differential Evolution Algorithm

article Full Text OpenAlex 273 FWCI35.1442

Deep reinforcement learning for dynamic scheduling of a flexible job shop

article Full Text OpenAlex 262 FWCI33.9493

Proceedings of the International Conference on Industrial Engineering and Operations Management

paratext Full Text OpenAlex 252 FWCI0

A survey of job shop scheduling problem: The types and models

article Full Text OpenAlex 236 FWCI29.3501