An empirical approach to model formulation for system support engineering

ALSaidi, M and Mo, J 2013, 'An empirical approach to model formulation for system support engineering', International Journal of Engineering Business Management, vol. 5, no. 1, pp. 1-15.

Document type: Journal Article
Collection: Journal Articles

Title An empirical approach to model formulation for system support engineering
Author(s) ALSaidi, M
Mo, J
Year 2013
Journal name International Journal of Engineering Business Management
Volume number 5
Issue number 1
Start page 1
End page 15
Total pages 15
Publisher InTech Open Access Publisher
Abstract Organizations today face intense competitive pressure to maximize their performance over time as customer expectations increase. The literature suggests that there is a need to develop a tool or techniques that practitioners in the industry can apply to help in support system design for operating assets as a long-term service solution in order to maintain optimized performance and obtain the best return on investments. This technique should integrate the industry domain knowledge to create and deliver support solutions for in service assets. There is no generic architecture for system support engineering available for practitioners to use. This will lead to the following question "Can industrial practitioners have a generic architecture to simplify the development of such a system"? If the answer is yes; then how possible is it? Therefore, this paper will present an empirical approach to model the formulation for a system support engineering (SSE) generic framework. The development of the SSE Framework combines both literature analysis and empirical work. Also, it will provide a possible answer to the research question and suggest further recommendations and opportunities for future research.
Subject Operations Research
Keyword(s) System Support Engineering
Model Formulation
Support Solution
Generic Framework
DOI - identifier 10.5772/56263
Copyright notice © 2013 AlSaidi and Mo; licensee InTech.
ISSN 1847-9790
Version Filter Type
Citation counts: Scopus Citation Count Cited 3 times in Scopus Article | Citations
Altmetric details:
Access Statistics: 178 Abstract Views  -  Detailed Statistics
Created: Tue, 06 May 2014, 13:05:00 EST by Catalyst Administrator
© 2014 RMIT Research Repository • Powered by Fez SoftwareContact us