Towards adaptive and digital manufacturing

被引：29

作者：

Monostori, L. ^{[1
,2
]}

Csaji, B. Cs ^{[1
,3
]}

Kadar, B. ^{[1
]}

Pfeiffer, A. ^{[1
]}

Ilie-Zudor, E. ^{[1
]}

Kemeny, Zs ^{[1
]}

Szathmari, M. ^{[1
]}

机构：

[1] Hungarian Acad Sci, Comp & Automat Res Inst, H-1111 Budapest, Hungary

[2] Budapest Univ Technol & Econ, Dept Mfg Sci & Technol, H-1111 Budapest, Hungary

[3] Univ Melbourne, Dept Elect & Elect Engn, Melbourne, Vic 3010, Australia

来源：

ANNUAL REVIEWS IN CONTROL | 2010年 / 34卷 / 01期

关键词：

Adaptive manufacturing; Digital enterprise; Distributed manufacturing; Product tracking and tracing; Production informatics; Decision support; CUSTOMIZED MASS-PRODUCTION; SCHEDULING PROBLEM; REAL-TIME; SYSTEMS; INFORMATION; LOGISTICS;

D O I：

10.1016/j.arcontrol.2010.02.007

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The problem each manufacturer repeatedly faces is how to meet demand by making available the required quantities of products in the specified quality and at proper time. From the four main R&D directions, i.e., adaptive manufacturing. digital manufacturing, knowledge-based manufacturing, and networked manufacturing, emphasized by the European initiative Manufuture, mostly the first two are underlined in the paper by illustrating some solution approaches However, all the related issues, i e., knowledge-based manufacturing and networked manufacturing, together with the requirements of real-time functioning and cooperativeness are kept in view (C) 2010 Elsevier Ltd All rights reserved

引用

页码：118 / 128

页数：11

共 35 条

[1] [Anonymous], 1996, CIRP Ann., DOI DOI 10.1016/S0007-8506(18)30216-6
[2] [Anonymous], 1996, Neuro-dynamic programming
[3] [Anonymous], P 14 INT JOINT C ART
[4] Relative value function approximation for the capacitated re-entrant line scheduling problem
Choi, JY
Reveliotis, S
[J]. IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2005, 2 (03) : 285 - 299
[5] Adaptive stochastic resource control:: A machine learning approach
Csaji, Balazs Csanad
Monostori, Laszlo
[J]. JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH, 2008, 32 (453-486) : 453 - 486
[6] Csáji BC, 2008, J MACH LEARN RES, V9, P1679
[7] CSAJI BC, 2008, THESIS E LORAND U BU, P104
[8] Computing lower and upper bounds for a large-scale industrial job shop scheduling problem
Drotos, Marton
Erdos, Gabor
Kis, Tamas
[J]. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2009, 197 (01) : 296 - 306
[9] HATVANY J, 1983, ANN CIRP MANUF TECHN, V32, P423
[10] Managing traceability information in manufacture
Jansen-Vullers, MH
van Dorp, CA
Beulens, AJM
[J]. INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT, 2003, 23 (05) : 395 - 413

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