Paper Title:
Agent-Based Integrated and Collaborative Engineering Asset Management
  Abstract

Engineering assets are fundamentally important to enterprises. Thus, making the best use of engineering assets attracts equipment and system engineers’ attention. The state-of-the-art researches contribute to asset condition monitoring, asset symptom diagnosis, asset health prognosis, and the integration of above knowledge. However, they still lack the combination with enterprise resources to determine the best maintenance/renewal time for the optimization of total enterprise benefits. Consequently, this paper proposes the integrated architectural framework, activity and process models of a multi-agent system called agent-based integrated engineering asset management (AIEAM) based on agent techniques to build collaborative environment for asset manager, diagnosis expert, prognosis expert and enterprise resource manager. An engineering asset management case (for repair and maintenance of automatic parking tower) applying the proposed architecture and models is depicted in the paper.

  Info
Periodical
Edited by
Sheng-Jye Hwang and Sen-Yung Lee
Pages
481-493
DOI
10.4028/www.scientific.net/MSF.594.481
Citation
D. W. Hsiao, A. J.C. Trappey, L. Ma, Y. C. Fan, Y. C. Mao, "Agent-Based Integrated and Collaborative Engineering Asset Management", Materials Science Forum, Vol. 594, pp. 481-493, 2008
Online since
August 2008
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Wan Shan Wang, Tian Biao Yu
Abstract:A remote fault diagnosis method for ultrahigh speeding grinding based on multi-agent is presented. The general faults of ultrahigh speed...
67
Authors: Egidijus Kazanavicius, Vygintas Kazanavicius, Laura Ostaseviciute
Abstract:Embedded computing systems still remain one of the underlying priorities in worldwide research communities. This paper presents an...
227
  | Authors: Bo Yu, Zi Xian Zhang, Yi Xiong Feng, Luis Ariel Diago, Ichiro Hagiwara
Chapter 1: Engineering Applications
Abstract:Over the past decades, Distributed Systems (DS) have been adopted for industrial applications to improve the system efficiency because...
16
Authors: Bin Ma, Tie Chi, Xiao Fu Ma, Xiang Bin Meng, Lin Chong Hao, Di Wang
Chapter 17: Manufacturing Process Planning and Scheduling
Abstract:For the status quo that monitoring system for mechanical equipment has limited ability to integrate information and make decision, designed...
4262
Authors: Feng Chan Wang, You Chao Sun, Chen Yang Zhao
Chapter 3: Manufacturing Engineering
Abstract:Overall scheme for large-aircraft Intelligence Virtual Maintenance Training System (IVMTS) information model which integrates the Standard...
1453