Matchup scheduling with multiple resources, release dates and disruptions
Operations Research
One-machine rescheduling heuristics with efficiency and stability as criteria
Computers and Operations Research
Intelligent scheduling
An agent-based flexible routing manufacturing control simulation system
WSC '94 Proceedings of the 26th conference on Winter simulation
Genetic algorithms and tabu search: hybrids for optimization
Computers and Operations Research - Special issue on genetic algorithms
International Journal of Human-Computer Studies - Special issue: real-world applications of uncertain reasoning
Artificial Intelligence - Special volume on planning and scheduling
Combining knowledge-based systems and simulation to solve rescheduling problems
Decision Support Systems
Foundations of distributed artificial intelligence
Foundations of distributed artificial intelligence
Applications of distributed artificial intelligence in industry
Foundations of distributed artificial intelligence
The AARIA agent architecture: an example of requirements-driven agent-based system design
AGENTS '97 Proceedings of the first international conference on Autonomous agents
Holonic manufacturing scheduling: architecture, cooperation mechanism and implementation
Computers in Industry - Special issue on manufacturing systems
Hierarchy in distributed shop floor control
Computers in Industry - Special issue on intelligent manufacturing systems
An experimental benchmarking of two multi-agent architectures for production scheduling and control
Computers in Industry - Special issue on intelligent manufacturing systems
Tabu Search
Intelligent Optimisation Techniques: Genetic Algorithms, Tabu Search, Simulated Annealing and Neural Networks
The hybrid heuristic genetic algorithm for job shop scheduling
Computers and Industrial Engineering
How to Apply fuzzy Logic to Reactive Production Scheduling
Proceedings of the IFIP TC5/WG5.7 International Workshop on Knowledge-Based Reactive Scheduling
Application of Neural Network Process Models in Reactive Scheduling
Proceedings of the IFIP TC5/WG5.7 International Workshop on Knowledge-Based Reactive Scheduling
Reactive Scheduling in a Fuzzy-Temporal Framework
Proceedings of the IFIP TC5/WG5.7 International Workshop on Knowledge-Based Reactive Scheduling
Rescheduling Manufacturing Systems: A Framework of Strategies, Policies, and Methods
Journal of Scheduling
The Contract Net Protocol: High-Level Communication and Control in a Distributed Problem Solver
IEEE Transactions on Computers
Production scheduling and rescheduling with genetic algorithms
Evolutionary Computation
The complexity of machine scheduling for stability with a single disrupted job
Operations Research Letters
Real-time scheduling of batch systems using Petri nets and linear logic
Journal of Systems and Software
Complex university course timetabling
Journal of Scheduling
Dynamic application model for scheduling with uncertainty on reconfigurable architectures
International Journal of Reconfigurable Computing - Special issue on selected papers from the international workshop on reconfigurable communication-centric systems on chips (ReCoSoC' 2010)
A cooperative dispatching approach for minimizing mean tardiness in a dynamic flowshop
Computers and Operations Research
Applications of agent-based models for optimization problems: A literature review
Expert Systems with Applications: An International Journal
A mathematical model for the management of a Service Center
Mathematical and Computer Modelling: An International Journal
International Journal of Bio-Inspired Computation
A distributed scheduler for air traffic flow management
Journal of Scheduling
Single machine oriented match-up rescheduling method for semiconductor manufacturing system
ICIRA'12 Proceedings of the 5th international conference on Intelligent Robotics and Applications - Volume Part II
Modeling and solving the dynamic patient admission scheduling problem under uncertainty
Artificial Intelligence in Medicine
Proceedings of the Winter Simulation Conference
The control of myopic behavior in semi-heterarchical production systems: A holonic framework
Engineering Applications of Artificial Intelligence
A closed-loop feedback simulation for RFID-based manufacturing planning and control system
International Journal of Information Technology and Management
Self-Optimization module for Scheduling using Case-based Reasoning
Applied Soft Computing
On the identical parallel-machine rescheduling with job rework disruption
Computers and Industrial Engineering
Computers and Industrial Engineering
A holonic approach to flexible flow shop scheduling under stochastic processing times
Computers and Operations Research
How to design effective priority rules: Example of simple assembly line balancing
Computers and Industrial Engineering
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In most real-world environments, scheduling is an ongoing reactive process where the presence of a variety of unexpected disruptions is usually inevitable, and continually forces reconsideration and revision of pre-established schedules. Many of the approaches developed to solve the problem of static scheduling are often impractical in real-world environments, and the near-optimal schedules with respect to the estimated data may become obsolete when they are released to the shop floor. This paper outlines the limitations of the static approaches to scheduling in the presence of real-time information and presents a number of issues that have come up in recent years on dynamic scheduling.The paper defines the problem of dynamic scheduling and provides a review of the state-of-the-art of currently developing research on dynamic scheduling. The principles of several dynamic scheduling techniques, namely, heuristics, meta-heuristics, multi-agent systems, and other artificial intelligence techniques are described in detail, followed by a discussion and comparison of their potential.