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Web-enabled platform for distributed and dynamic decision-making systems.pdf

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Web-enabled platform for distributed and dynamic decision-making systems.pdf

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Web-enabled platform for distributed and dynamic decision-making systems.pdf

文档介绍

文档介绍:Int J Adv Manuf Technol (2008) 38:1260–1270
DOI -007-1172-z
ORIGINAL ARTICLE
Web-enabled platform for distributed and dynamic
decision-making systems
Ahad Ali & Zaifeng Chen & Jay Lee
Received: 18 March 2007 /Accepted: 18 July 2007 /Published online: 22 August 2007
# Springer-Verlag London Limited 2007
Abstract With the advent of and wireless technol- 1 Introduction
ogies, real-time remote monitoring and control is ing
an essential need for meeting highly dynamic business There is a growing demand to connect front-end business with
objectives. At the same time, web-enabled platforms are backend business to synchronize the manufacturing systems
required to perform remote monitoring with efficiently and and product services and customer relationship. The trend of
effectively. Recent progresses on e-manufacturing applica- the future e-business is to bridge the gap between front-end
tions address the needs for better integration between and backend business. Web-enabled platform will bridge the
factory floor and enterprise systems. This paper presents a gap and e mon platform for e-business and e-
web-enabled platform which focuses on web-enabled intelli- manufacturing systems to effectively minimize the massive
gence to enable products and systems to achieve near-zero- information bottleneck between plant floor and information
downtime performance through device-to-business (D2B) systems [1]. Next-generation smart panies
platform. The proposed web-enabled platform can effectively necessitate a set of core intelligence for addressing the smart
minimize the massive information bottleneck that exists business performance: called “5Ps,” namely predictability,
between plant floor and information systems. Case studies producability, productivity, pollution prevention, and perfor-
are presented to determine how effectively web-enabled mance. These core intelligences may help to develop a series
industrial system can be used in factory fl