Smart manufacturing, manufacturing intelligence and demand-dynamic performance

被引：447

作者：

Davis, Jim ^{[1
]}

Edgar, Thomas ^{[2
]}

Porter, James ^{[3
]}

Bernaden, John ^{[4
]}

Sarli, Michael ^{[5
]}

机构：

[1] Univ Calif Los Angeles, Los Angeles, CA 90095 USA

[2] Univ Texas Austin, Austin, TX 78712 USA

[3] DuPont Co Inc, Sustainable Operat Solut, Philadelphia, PA USA

[4] Rockwell Automat, Milwaukee, WI USA

[5] Univ Massachusetts, ExxonMobil Res & Engn, Amherst, MA 01003 USA

来源：

COMPUTERS & CHEMICAL ENGINEERING | 2012年 / 47卷

基金：

美国国家科学基金会;

关键词：

Smart Manufacturing; Advanced manufacturing; Performance-based enterprises; Supply chain performance; Demand-dynamics; Energy productivity; Sustainability;

D O I：

10.1016/j.compchemeng.2012.06.037

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Smart Manufacturing is the dramatically intensified and pervasive application of networked information-based technologies throughout the manufacturing and supply chain enterprise. The defining technical threads are time, synchronization, integrated performance metrics and cyber-physical-workforce requirements. Smart Manufacturing responds and leads to a dramatic and fundamental business transformation to demand-dynamic economics keyed on customers, partners and the public; enterprise performance and variability management; real-time integrated computational materials engineering and rapid qualification, demand-driven supply chain services; and broad-based workforce involvement. IT-enabled Smart factories and supply networks can better respond to national interests and strategic imperatives and can revitalize the industrial sector by facilitating global competitiveness and exports, providing sustainable jobs, radically improving performance, and facilitating manufacturing innovation. (C) 2012 Elsevier Ltd. All rights reserved.

引用

页码：145 / 156

页数：12