Modular and collaborative automation: Achieving manufacturing flexibility and reconfigurability

被引：24

作者：

Colombo, Armando W. ^{[1
,3
,4
,5
,6
]}

Harrison, Robert ^{[2
,7
,8
,9
]}

机构：

[1] Schneider Electric - P and T H and O PMO, 63500 Seligenstadt

[2] Wolfson School of Mechanical and Manufacturing Engineering, Loughborough University

[3] Product and Technology - H and O Department, Schneider Electric

[4] Product and Technology - H and O Department, Schneider Electric

[5] Wolfson School of Mechanical and Manufacturing Engineering, Loughborough University

来源：

International Journal of Manufacturing Technology and Management | 2008年 / 14卷 / 3-4期

关键词：

Agent-based control; Collaborative manufacturing; Flexible production systems; Modular reconfigurable automation;

D O I：

10.1504/IJMTM.2008.017726

中图分类号：

学科分类号：

摘要：

Manufacturing companies urgently need production systems that can provide both the flexibility to support product variety dynamically and the reconfigurability to be adapted economically to manufacture new products. In response to this need, a new collaborative automation paradigm is now emerging, which is characterised by decentralised distributed automation systems composed of intelligent reconfigurable mechatronics modules. This paper aims to provide a significant insight into the benefits and challenges posed by the industrial adoption of this paradigm. It describes both how best to provide appropriate modular reconfigurable automation systems and how best to implement engineering environments capable of supporting their lifecycle. Copyright © 2008 Inderscience Enterprises Ltd.

引用

页码：249 / 265

页数：16

共 34 条

[21]

Leitao P., Colombo A.W., Restivo F., ADACOR, a collaborative production automation and control architecture, IEEE Intelligent Systems, 20, 1, pp. 58-66, (2005)

[22]

Maturana F., Norrie D., Multi-agent mediator architecture for distributed manufacturing, Journal of Intelligent Manufacturing, 7, pp. 257-270, (1996)

[23]

McFarlane D., Modular distributed manufacturing systems and the implications for integrated control, Proc. of IEE Colloquium on Choosing the Right Control Structure, (1998)

[24]

McFarlane D., Marik V., Valckenaers P., Intelligent control in the manufacturing supply chain, IEEE Intelligent Systems, 20, 1, pp. 5824-5826, (2005)

[25]

Memmi G., Roucairol G., Linear algebra in net theory, Lecture Notes in Computer Sciences, 84, pp. 213-223, (1980)

[26]

Ong M.H., Evaluating the Impact of Adopting the Component-Based System within the Automotive Domain, (2004)

[27]

Ritter A., Baum W., Hopf M., Westkauper E., Agentification for production systems, Proc. European Joint Conferences on Theory and Practice of Software, (2002)

[28]

Staab H., Hopf M., Mayer J., Ritter A., Schraft R., Realisation of agent-based commissioning using Jini technology, Proc. 2nd IEEE International Conference on Industrial Informatics, pp. 255-259, (2004)

[29]

Thomas D.W., Harrison R., West A.A., McLeod C.S., A process definition environment for component based manufacturing machine control systems, Proc. of the SAE World Cong, and Expo, (2002)

[30]

Tsourveloudis N., Phillis Y., Manufacturing flexibility measurement: A fuzzy logic framework, IEEE Trans. on Robotics and Automation, 14, 4, pp. 513-524, (1998)

← 1 2 3 4 →