Modeling Supply-Chain Networks by a Multi-Agent System
HICSS '98 Proceedings of the Thirty-First Annual Hawaii International Conference on System Sciences-Volume 5 - Volume 5
An Agent-based Architecture for Analyzing Business Processes of Real-Time Enterprises
EDOC '03 Proceedings of the 7th International Conference on Enterprise Distributed Object Computing
Distributed, on-demand, data-intensive and collaborative simulation analysis
Future Generation Computer Systems - iGrid 2002
Genetic algorithm based multi-agent system applied to test generation
Computers & Education
Defect spatial pattern recognition using a hybrid SOM-SVM approach in semiconductor manufacturing
Expert Systems with Applications: An International Journal
Multiple-objective scheduling and real-time dispatching for the semiconductor manufacturing system
Computers and Operations Research
Expert Systems with Applications: An International Journal
A decision support system for the production control of a semiconductor packaging assembly line
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Fuzzy agent-based expert system for steel making process
Expert Systems with Applications: An International Journal
Robotics and Computer-Integrated Manufacturing
A systematic approach for new service concept generation: Application of agent-based simulation
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
| Hi-index | 12.07 |
Since the semiconductor manufacturing system is a large-scale complex system, it is difficult to solve complex problems in semiconductor manufacturing by the mathematical modeling method. This paper presents a multi-agent-based distributed simulation platform to support the extremely complex semiconductor manufacturing analysis. A multi-agent-based distributed simulation platform framework and a multi-agent collaborative control model are proposed to provide a flexible infrastructure and a multi-agent coordination mechanism in distributed environment for semiconductor manufacturing simulation. A multi-agent time synchronization model for distributed simulation is designed to keep events in the correct logical time order in simulation and steps of time synchronization are given. An interaction model and message formats are presented to describe how agents communicate with each other in simulation. The platform development and the design of graphical user interface are also exploited in this paper. Finally, evaluation of this multi-agent-based platform was illustrated with a case study. It indicates that the platform is effective in modeling and simulating the complex semiconductor manufacturing and provides the insights about how to improve the semiconductor manufacturing process with well targeted measures.