Reference architecture for holonic manufacturing systems: PROSA
Computers in Industry - Special issue on manufacturing systems
Pattern Recognition and Neural Networks
Pattern Recognition and Neural Networks
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
Distributed Manufacturing Scheduling Using Intelligent Agents
IEEE Intelligent Systems
Rescheduling Manufacturing Systems: A Framework of Strategies, Policies, and Methods
Journal of Scheduling
Multi-agent coordination and control using stigmergy
Computers in Industry
Artificial Neural Networks: An Introduction (SPIE Tutorial Texts in Optical Engineering, Vol. TT68)
Artificial Neural Networks: An Introduction (SPIE Tutorial Texts in Optical Engineering, Vol. TT68)
The Contract Net Protocol: High-Level Communication and Control in a Distributed Problem Solver
IEEE Transactions on Computers
Ant colony intelligence in multi-agent dynamic manufacturing scheduling
Engineering Applications of Artificial Intelligence
A holonic approach for manufacturing execution system design: An industrial application
Engineering Applications of Artificial Intelligence
A holonic approach to dynamic manufacturing scheduling
Robotics and Computer-Integrated Manufacturing
Expert Systems with Applications: An International Journal
ANEMONA: A Multi-agent Methodology for Holonic Manufacturing Systems
ANEMONA: A Multi-agent Methodology for Holonic Manufacturing Systems
Engineering Holonic Manufacturing Systems
Computers in Industry
A survey of dynamic scheduling in manufacturing systems
Journal of Scheduling
Integrating simulation and optimization to schedule a hybrid flow shop with maintenance constraints
Computers and Industrial Engineering
Supporting a multicriterion decision making and multi-agent negotiation in manufacturing systems
Intelligent Decision Technologies
A comparison of machine-learning algorithms for dynamic scheduling of flexible manufacturing systems
Engineering Applications of Artificial Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Intelligent agent based framework for manufacturing systems control
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Agent-based modeling of supply chains for distributed scheduling
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
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Flexible flow shop scheduling problems are NP-hard and tend to become more complex when stochastic uncertainties are taken into consideration. This paper presents a novel decomposition-based holonic approach (DBHA) for minimising the makespan of a flexible flow shop (FFS) with stochastic processing times. The proposed DBHA employs autonomous and cooperative holons to construct solutions. When jobs are released to an FFS, the machines of the FFS are firstly grouped by a neighbouring K-means clustering algorithm into an appropriate number of cluster holons, based on their stochastic nature. A scheduling policy, determined by the back propagation networks (BPNs), is then assigned to each cluster holon for schedule generation. For cluster holons of a low stochastic nature, the Genetic Algorithm Control (GAC) is adopted to generate local schedules in a centralised manner; on the other hand, for cluster holons of a high stochastic nature, the Shortest Processing Time Based Contract Net Protocol (SPT-CNP) is applied to conduct negotiations for scheduling in a decentralised manner. The combination of these two scheduling policies enables the DBHA to achieve globally good solutions, with considerable adaptability in dynamic environments. Computation results indicate that the DBHA outperforms either GAC or SPT-CNP alone for FFS scheduling with stochastic processing times.