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Smart Manufacturing

delete2015-07-24
delete119
PRE
AI
J
Jim Davis *
T
Thomas F. Edgar
P
Prakashan Korambath
J
Jianwu Wang
DOI:10.1146/annurev-chembioeng-061114-123255delete
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Abstract

Abstract

En 中文
Historic manufacturing enterprises based on vertically optimized companies, practices, market share, and competitiveness are giving way to enterprises that are responsive across an entire value chain to demand dynamic markets and customized product value adds; increased expectations for environmental sustainability, reduced energy usage, and zero incidents; and faster technology and product adoption. Agile innovation and manufacturing combined with radically increased productivity become engines for competitiveness and reinvestment, not simply for decreased cost. A focus on agility, productivity, energy, and environmental sustainability produces opportunities that are far beyond reducing market volatility. Agility directly impacts innovation, time-to-market, and faster, broader exploration of the trade space. These changes, the forces driving them, and new network-based information technologies offering unprecedented insights and analysis are motivating the advent of smart manufacturing and new information technology infrastructure for manufacturing.
Keywords:
advanced manufacturing
advanced sensing
control and platforms
digital manufacturing
smart manufacturing
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Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Annual Review of Chemical and Biomolecular Engineering cover
Annual Review of Chemical and Biomolecular Engineering
IF:
12.8
Papers:
286
Citations:
3.0K

Organization

U
university of texas austin
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University of California System cover
University of California System
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U
University of California San Diego
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Papers: 3.5W
Citations: 924
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