Design patterns for real-time distributed control system benchmarking
Robotics and Computer-Integrated Manufacturing
Using Adaptable Design to Classify Interactions Within a Distributed Control Architecture
HoloMAS '07 Proceedings of the 3rd international conference on Industrial Applications of Holonic and Multi-Agent Systems: Holonic and Multi-Agent Systems for Manufacturing
Integration of process planning and scheduling-A modified genetic algorithm-based approach
Computers and Operations Research
Agent-based distributed manufacturing control: A state-of-the-art survey
Engineering Applications of Artificial Intelligence
Dynamic scheduling of maintenance tasks in the petroleum industry: A reinforcement approach
Engineering Applications of Artificial Intelligence
An agent-based approach for integrated process planning and scheduling
Expert Systems with Applications: An International Journal
Constraint-based winner determination for auction-based scheduling
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Developing a Negotiation Mechanism for Agent-Based Scheduling Via Fuzzy Constraints
ICIC '07 Proceedings of the 3rd International Conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence
An automation agent architecture with a reflective world model in manufacturing systems
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Semi-heterarchical control of FMS: From theory to application
Engineering Applications of Artificial Intelligence
Computers and Operations Research
Agent-based smart objects management system for real-time ubiquitous manufacturing
Robotics and Computer-Integrated Manufacturing
Multi-agent-based Pay-Per-Use (PpU) distributed manufacturing
International Journal of Computer Applications in Technology
Expert Systems with Applications: An International Journal
Distributed constraint optimization with MULBS: A case study on collaborative meeting scheduling
Journal of Network and Computer Applications
Applications of agent-based models for optimization problems: A literature review
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
The mathematical model of the order realizing system
ASM'12 Proceedings of the 6th international conference on Applied Mathematics, Simulation, Modelling
Heterarchical production control in manufacturing systems using the potential fields concept
Journal of Intelligent Manufacturing
Information Sciences: an International Journal
Complexity analysis of distributed measuring and sensing network in multistage machining processes
Journal of Intelligent Manufacturing
Service customization under capacity constraints: an auction-based model
Journal of Intelligent Manufacturing
A multi-agent system for the weighted earliness tardiness parallel machine problem
Computers and Operations Research
AdSCHE: DESIGN OF AN AUCTION-BASED FRAMEWORK FOR DECENTRALIZED SCHEDULING
Journal of Integrated Design & Process Science
Agent-Based System Design for Service Process Scheduling: Challenges, Approaches and Opportunities
Journal of Integrated Design & Process Science
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Manufacturing process planning is the process of selecting and sequencing manufacturing processes such that they achieve one or more goals and satisfy a set of domain constraints. Manufacturing scheduling is the process of selecting a process plan and assigning manufacturing resources for specific time periods to the set of manufacturing processes in the plan. It is, in fact, an optimization process by which limited manufacturing resources are allocated over time among parallel and sequential activities. Manufacturing process planning and scheduling are usually considered to be two separate and distinct phases. Traditional optimization approaches to these problems do not consider the constraints of both domains simultaneously and result in suboptimal solutions. Without considering real-time machine workloads and shop floor dynamics, process plans may become suboptimal or even invalid at the time of execution. Therefore, there is a need for the integration of manufacturing process-planning and scheduling systems for generating more realistic and effective plans. After describing the complexity of the manufacturing process-planning and scheduling problems, this paper reviews the research literature on manufacturing process planning, scheduling as well as their integration, particularly on agent-based approaches to these difficult problems. Major issues in these research areas are discussed, and research opportunities and challenges are identified