Intelligent scheduling
Distributed Artificial Intelligence in manufacturing systems control
ICC&IE '94 Proceedings of the 17th international conference on Computers and industrial engineering
A collaborative process planning and scheduling system
Advances in Engineering Software - Special issue: computer-aided process planning
Bidding-based process planning and scheduling in a multi-agent system
Computers and Industrial Engineering
The AARIA agent architecture: an example of requirements-driven agent-based system design
AGENTS '97 Proceedings of the first international conference on Autonomous agents
A multi-agent approach to process planning and fabrication in distributed manufacturing
ICC&IE Selected papers from the 22nd ICC&IE conference on Computers & industrial engineering
Enhancing manufacturing product development through learning agent system over internet
Computers and Industrial Engineering
A cooperative agent modelling approach for process planning
Computers in Industry
Multiobjective Scheduling by Genetic Algorithms
Multiobjective Scheduling by Genetic Algorithms
Distributed Manufacturing Scheduling Using Intelligent Agents
IEEE Intelligent Systems
Process Planning and Scheduling with Multiagent Systems
BASYS '02 Proceedings of the IFIP TC5/WG5.3 Fifth IFIP/IEEE International Conference on Information Technology for Balanced Automation Systems in Manufacturing and Services: Knowledge and Technology Integration in Production and Services: Balancing Knowledge in Product and Service Life Cycle
Task allocation using a distributed market-based planning mechanism
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Dynamic manufacturing scheduling using both functional and resource related agents
Integrated Computer-Aided Engineering
The Contract Net Protocol: High-Level Communication and Control in a Distributed Problem Solver
IEEE Transactions on Computers
Internet scheduling environment with market-driven agents
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Expert Systems with Applications: An International Journal
Integration of process planning and scheduling-A modified genetic algorithm-based approach
Computers and Operations Research
An agent-based approach for integrated process planning and scheduling
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
An active learning genetic algorithm for integrated process planning and scheduling
Expert Systems with Applications: An International Journal
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Process planning and scheduling are considered as two separate and distinct phases in manufacturing. Traditional approaches to these problems do not consider the constraints of both domains simultaneously and can only result in sub-optimal solutions. This separation becomes a barrier to further improving manufacturing performance. Most process planning and scheduling systems are off-line and centralized. The process plans generated off-line may become invalid at the time of plan execution. On the other hand, scheduling based on rigid process plans may have already lost the optimal options. Today, there is an increasing need for the integration of process planning and scheduling to generate more realistic and practical solutions. This paper provides a literature review on the integration of process planning and scheduling, particularly on agent-based approaches. It is followed by an overview of our approach toward distributed process planning and scheduling. The paper is finally concluded with future research opportunities.