An EDM Multi-Agent Collaborative Manufacturing System Based on Petri Net

2012 ◽  
Vol 457-458 ◽  
pp. 921-926
Author(s):  
Jin Zhi Zhao ◽  
Yuan Tao Liu ◽  
Hui Ying Zhao
Keyword(s):  
Petri Net ◽  
Manufacturing System ◽  
Intelligent Manufacturing ◽  
Agent Technology ◽  
Manufacturing Processes ◽  
Intelligent Manufacturing System ◽  
Collaborative Manufacturing ◽  
Model Based ◽  
Support Organizations ◽  
Multi Agent

A framework for building EDM collaborative manufacturing system using multi-agent technology to support organizations characterized by physically distributed, enterprise-wide, heterogeneous intelligent manufacturing system over Internet is proposed. According to the characteristics of agile EDM collaborative manufacturing system(AEDMCMS), the agent technology is combined with Petri net in order to analyze the model. Based on the basic Petri Net, the definition is extended and the Agent-oriented Petri net (APN) is proposed. AEDMCM is turned into the model of Petri Net which is suitable to the analysis and optimization of manufacturing processes.

An EDM Multi-Agent Collaborative Manufacturing System Based on Petri Net

2012 ◽  
Vol 457-458 ◽  
pp. 921-926
Author(s):  
Jin Zhi Zhao ◽  
Yuan Tao Liu ◽  
Hui Ying Zhao
Keyword(s):  
Petri Net ◽  
Manufacturing System ◽  
Collaborative Manufacturing ◽  
Multi Agent

Research for Technology in Distributed Manufacturing with Resource Collaboration

2013 ◽  
Vol 753-755 ◽  
pp. 1875-1881 ◽  
Author(s):  
Xin Wei Xu ◽  
Dan Gang ◽  
Jing Tan ◽  
Le Fang
Keyword(s):  
Manufacturing System ◽  
Small World ◽  
Intelligent Manufacturing ◽  
Small World Network ◽  
Distributed Network ◽  
Multi Agent System ◽  
Collaborative Manufacturing ◽  
Collaboration Model ◽  
Multi Agent ◽  
Resource Collaboration

An obvious trend for intelligent manufacturing is distributed network manufacturing model. This paper presents a technology of model which based on IMS (Intelligent manufacturing System), that is, with enterprise resource collaboration model to settle collaborative manufacturing among of heterogeneous enterprises. Because of similarities of enterprise resource, the workable resource pool with small world network characteristic is built. On this basis, research for algorithms that can create alliance routes in small world network that have a short length of characteristic path and evident attention of clustering. Depend on capacity vector that be constructed by the enterprise ability attributions and used total of cast on dispatching produce unit in resource pools to seek maximization path characteristic value of the enterprise resource dispatching routes. Thus, the alliance enterprise distributed collaborative manufacturing system can be constructed. Given orders attributions and mechanism of multi-agent system, the collaboration model was constructed and adopt colony Optimization algorithm in small world network to solve route of enterprise alliance and multi-task mechanism among of alliance enterprise. An experiment and analysis was presented to validate the feasibility and effectiveness of the models and the approach.

Research on Network-Based Intelligent EDM CAPP System

2011 ◽  
Vol 201-203 ◽  
pp. 298-301
Author(s):  
Jin Zhi Zhao ◽  
Yuan Tao Liu
Keyword(s):  
Manufacturing System ◽  
Intelligent Manufacturing ◽  
Case Based Reasoning ◽  
Knowledge Database ◽  
Intelligent Manufacturing System ◽  
Support Organizations ◽  
Technological Data ◽  
Internet Environment ◽  
Intelligent Technology ◽  
Reasoning Algorithm

A framework for building network-based EDM CAPP system using intelligent technology to support organizations characterized by physically distributed, enterprise-wide, heterogeneous intelligent manufacturing system over Internet is proposed. Expert system theory is introduced. Rule-Based reasoning and Case-Based reasoning method are introduced to reason EDM method. Genetic Algorithm is applied to optimize EDM technological parameter. Fuzzy reasoning algorithm is applied to select technological data. Artificial Neural Network is applied to forecast technological effect. Internet environment and Technological knowledge database modules are introduced. Instances are also introduced to testify feasibility.

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