Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
Neural Networks and Rules-based Systems used to Find Rational and
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Modern engineering assets are complex and very high in value. They are expected to function for years to come, with ability to handle the change in technology and ageing modification. The aging of an engineering asset and continues increase of vendors and contractors numbers forces the asset operation management (or Owner) to design an asset management system which can capture these changes. Furthermore, an accurate performance measurement and risk evaluation processes are highly needed. Therefore, this paper propose an asset management system performance evaluation for an engineering asset based on the System Support Engineering (SSE) principles. The research work explores the asset management system from a range of perspectives, interviewing managers from across an industrial organization. The factors contributing to complexity of an asset management system are described in context which clusters them into several key areas. It is proposed that SSE framework may then be used as a tool for analysis and management of asset with given an industrial example. The paper will conclude with discussion of potential application of theframework and opportunities for future research.
Mohammed Saif AL Saidi. 2014. \u201cAn Approach to Manage and Evaluate Engineering Asset Performance\u201d. Global Journal of Research in Engineering - G: Industrial Engineering GJRE-G Volume 14 (GJRE Volume 14 Issue G1): .
Crossref Journal DOI 10.17406/gjre
Print ISSN 0975-5861
e-ISSN 2249-4596
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Total Score: 132
Country: Australia
Subject: Global Journal of Research in Engineering - G: Industrial Engineering
Authors: Mohammed Saif AL Saidi, John P. T Mo (PhD/Dr. count: 0)
View Count (all-time): 214
Total Views (Real + Logic): 4598
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Publish Date: 2014 03, Thu
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Neural Networks and Rules-based Systems used to Find Rational and
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Modern engineering assets are complex and very high in value. They are expected to function for years to come, with ability to handle the change in technology and ageing modification. The aging of an engineering asset and continues increase of vendors and contractors numbers forces the asset operation management (or Owner) to design an asset management system which can capture these changes. Furthermore, an accurate performance measurement and risk evaluation processes are highly needed. Therefore, this paper propose an asset management system performance evaluation for an engineering asset based on the System Support Engineering (SSE) principles. The research work explores the asset management system from a range of perspectives, interviewing managers from across an industrial organization. The factors contributing to complexity of an asset management system are described in context which clusters them into several key areas. It is proposed that SSE framework may then be used as a tool for analysis and management of asset with given an industrial example. The paper will conclude with discussion of potential application of theframework and opportunities for future research.
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