Collaboration Planning by Task Analysis in Human-Robot Collaborative Manufacturing System

This paper analyzes the main problems in informatization of china's manufacturing industry, and researches an industrial collaborative manufacturing system for large and medium-sized manufacturing enterprises taking advantage of the benefits of cloud computing such as resource integration, elastic computing, mass data, and service integration. The system includes technical support system, business support system, security system and service portal, which providing design collaboration services, production collaboration services, business collaboration services, office collaboration services for enterprises, and forming a complete standard system. This will further promote the innovation of the service model and change of economic growth mode in our country.

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

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.457-458.921 ◽

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.

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An Internet-of-Things Based Framework for Collaborative Manufacturing

Volume 2: Advanced Manufacturing ◽

10.1115/imece2017-72293 ◽

2017 ◽

Cited By ~ 1

Author(s):

Rajesh Krishnamurthy ◽

J. Cecil ◽

Damith Perera

Keyword(s):

Internet Of Things ◽

Process Design ◽

Concurrent Engineering ◽

Global Economy ◽

Manufacturing System ◽

Printed Circuit Boards ◽

Electronics Manufacturing ◽

Collaborative Manufacturing ◽

Smart Technologies ◽

Engineering Practices

The exchange of data and information among collaborating partners and resources in a distributed manufacturing system assumes significance especially in today’s global economy. In recent years, Internet of Things (IoT) and Cyber Physical Systems (CPS) related practices and technologies have emerged as enablers of collaborative manufacturing and engineering practices. Smart technologies involving Virtual Reality and haptic based interactions are continuing to play an important role in concurrent engineering based methods in distributed contexts. The research presented in this paper explores the design of an IoT based framework for electronics manufacturing involving the use of VR based environments and Cloud computing technologies. The process domain of interest is electronics manufacturing with an emphasis on Surface Mount assembly of printed circuit boards (PCBs). The VR based assembly environment played a key role in this IoT framework as it supported Concurrent Engineering practices by enabling stakeholders in this manufacturing system context to obtain a better understanding of the manufacturing process design while providing ‘what if’ analysis capabilities for changing customer requirements. Another benefit of such VR based IoT frameworks is the potential of such 3D environments to provide effective training of assembly processes as well as facilitating better understanding of process design issues from distributed locations.

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