From plant and logistics control to multi-enterprise collaboration

被引:57
作者
Nof, S. Y.
Morel, G.
Monostori, L.
Molina, A.
Filip, F.
机构
[1] Purdue Univ, Sch Ind Engn, W Lafayette, IN 47907 USA
[2] Univ Henri Poincare, CRAN, CNRS, UMR 7039, Vandoeuvre Les Nancy, France
[3] Hungarian Acad Sci, Comp & Automat Res Inst, H-1518 Budapest, Hungary
[4] Tec Monterrey, Sch Engn & Archaeol, N Leon 64849, Mexico
[5] Romanian Acad, Bucharest 71102, Romania
关键词
agents; bio-inspired control; collaborative control; complex systems; coordination; digital enterprise; distributed manufacturing; enterprise networks; integration; large-scale systems; multi-agent control;
D O I
10.1016/j.arcontrol.2006.01.005
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 [计算机科学与技术];
摘要
Current and emerging manufacturing and logistics systems are posing new challenges and opportunities for the automation and control community. This milestone report describes the main problems, such as management of complexity, scalability, increasing costs, coordination, market-based resource allocation, and more. Recent accomplishments and trends are discussed: control and automation techniques, manufacturing plant automation, collaborative control through integration and networking, and control methods applied to extended enterprises and large-scale critical infrastructure. Finally, forecasts are presented for the next generation manufacturing system; e-work; integration, coordination and collaboration; networked, distributed decision support (NDSS); and active middleware. (C) 2006 Published by Elsevier Ltd.
引用
收藏
页码:55 / 68
页数:14
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