JOURNAL ARTICLE

Multi-agent-based scheduling in cloud manufacturing with dynamic task arrivals

Abstract

Scheduling is a critical means for providing on-demand manufacturing services in cloud manufacturing. Multi-agent technologies provide an effective approach for addressing scheduling issues in cloud manufacturing, which, however, have rarely been used for solving the issue. This paper addresses scheduling issues in cloud manufacturing using multi-agent technologies. A multi-agent architecture for scheduling in cloud manufacturing is proposed firstly. Then, a corresponding multi-agent model is presented, which incorporates many-to-many negotiations based on an extended contract net protocol and takes into account dynamic task arrivals. Simulation results indicate the feasibility of the model and approach proposed.

Keywords:
Cloud manufacturing Cloud computing Scheduling (production processes) Contract Net Protocol Computer science Distributed computing Negotiation Dynamic priority scheduling Job shop scheduling Genetic algorithm scheduling Industrial engineering Two-level scheduling Multi-agent system Engineering Artificial intelligence Computer network Operations management Operating system

Metrics

46
Cited By
5.68
FWCI (Field Weighted Citation Impact)
17
Refs
0.96
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Digital Transformation in Industry
Physical Sciences →  Engineering →  Industrial and Manufacturing Engineering
Scheduling and Optimization Algorithms
Physical Sciences →  Engineering →  Industrial and Manufacturing Engineering
Advanced Manufacturing and Logistics Optimization
Physical Sciences →  Engineering →  Industrial and Manufacturing Engineering

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