An Approach to Manage and Evaluate Engineering Asset Performance

Mohammed Saif AL Saidi
Mohammed Saif AL Saidi
John P. T Mo
John P. T Mo
RMIT University RMIT University

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An Approach to Manage and Evaluate Engineering Asset Performance

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Abstract

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.

References

62 Cites in Article
  1. Mohammed Alsaidi,Saif,Mo,P John (2013). An Empirical Approach to Model Formulation for System Support Engineering.
  2. T Baines,H Lightfoot,O Benedettini,J Kay (2009). The servitization of manufacturing.
  3. Stefano Biazzo,Patrizia Garengo (2012). Models for Measuring Performances.
  4. Maura Borrego,Elliot Douglas,Catherine Amelink (2009). Quantitative, Qualitative, and Mixed Research Methods in Engineering Education.
  5. T Brady,H Rush,M Hobday,A Davies,D Probert,S Banerjee (1997). Tools for technology management: An academic perspective.
  6. O Bustinza,D Arias-Aranda,L Gutierrez-Gutierrez (2010). Outsourcing, competitive capabilities and performance: an empirical study in service firms.
  7. Sanfa Cai,Kai Ci,Bin Zou (2011). Producer Services Outsourcing Risk Control Based on Outsourcing Contract Design: Industrial Engineering Perspective.
  8. Dilek Cetindamar,Phaal,Robert,David Probert (2009). Understanding technology management as a dynamic capability: A framework for technology management activities.
  9. Y Correa,C Keating (2003). An approach to model formulation for systems of systems.
  10. Felipe Csaszar (2012). Organizational structure as a determinant of performance: Evidence from mutual funds.
  11. Gao Dandan,Chen Rongqiu (2010). New Research on New Service Development Based on Unified Services Theory.
  12. Antonio Davila (2012). New Trends in Performance Measurement and Management Control.
  13. Anders Drejer (1997). The discipline of management of technology, based on considerations related to technology.
  14. Cynthia Eldridge,Natasha Palmer (2009). Performance-based payment: some reflections on the discourse, evidence and unanswered questions.
  15. Bo Feng,Fan Zhi-Ping,Yanzhi Li (2011). A decision method for supplier selection in multiservice outsourcing.
  16. Holger Görg,Aoife Hanley (2011). SERVICES OUTSOURCING AND INNOVATION: AN EMPIRICAL INVESTIGATION.
  17. T Harris,F Boudreau,J Macgregor (1996). Performance assessment of multivariable feedback controllers.
  18. T Harris,C Seppala,L Desborough (1999). A review of performance monitoring and assessment techniques for univariate and multivariate control systems.
  19. P Herder,Ype Wijnia (2012). A Systems View on Infrastructure Asset Management.
  20. Phillipp Hypko,Meike Tilebein,Ronald Gleich (2010). Benefits and uncertainties of performance‐based contracting in manufacturing industries.
  21. Phillipp Hypko,Tilebein,Meike,Ronald Gleich (2010). Clarifying the concept of performancebased contracting in manufacturing industries: A research synthesis.
  22. Mohieddine Jelali (2006). An overview of control performance assessment technology and industrial applications.
  23. S Joe Qin (1998). Control performance monitoring — a review and assessment.
  24. Rhonda Julien,Michael Foley,William Cluett (2004). Performance assessment using a model predictive control benchmark.
  25. Gi-Du Kang (2006). The hierarchical structure of service quality: integration of technical and functional quality.
  26. Cao Lan,B Ramesh (2008). Agile Requirements Engineering Practices: An Empirical Study.
  27. Hsiao-Hui Lee,Edieal Pinker,Robert Shumsky (2012). Outsourcing a Two-Level Service Process.
  28. Woo Lee,Sang-Young Moh,Hong-Jung Choi (2012). Plant Asset Management Today and Tomorrow.
  29. Yihua Li,Xiubin Wang,Teresa Adams (2009). Ride service outsourcing for profit maximization.
  30. Shu-Hsien Liao (2005). Technology management methodologies and applications: A literature review from 1995 to 2003.
  31. Songhua Lin,Alyson Ma (2012). Outsourcing and productivity: Evidence from Korean data.
  32. Elicia Maine,David Probert,Mike Ashby (2005). Investing in new materials: a tool for technology managers.
  33. J Mendling,H Reijers,W Van Der Aalst (2010). Seven process modeling guidelines (7PMG).
  34. Jürgen Mihm,Christoph Loch,Dennis Wilkinson,Bernardo Huberman (2010). Hierarchical Structure and Search in Complex Organizations.
  35. John Mo (2009). System Support Engineering: The Foundation Knowledge for Performance Based Contracting.
  36. O Mont (2002). Clarifying the concept of product–service system.
  37. William Mullins,Antoinette Schoar (2013). Unknown Title.
  38. Andy Neely (2002). Business Performance Measurement.
  39. Irene Ng,Parry,Glenn,Duncan Mcfarlane,Paul Tasker (2010). Complex Engineering Service Systems.
  40. Marekr Ogiela,Ogiela,Urszula (2014). Methodological Aspects of Information Sharing and Management in Organizations Secure Information Management Using Linguistic Threshold Approach.
  41. Sauming Pang (2009). Successful Service Design for Telecommunications : A Comprehensive Guide to Design and Implementation Retrieved from.
  42. Michael Pecht (2012). A Prognostics and Health Management for Information and Electronics-Rich Systems.
  43. R Phaal,C Paterson,D Probert (1998). Technology management in manufacturing business: process and practical assessment.
  44. Robert Phaal,Clare Farrukh,Probert,R David (2006). Technology management tools: concept, development and application.
  45. João Pombinho,José Tribolet (2012). Service System Design and Engineering -A Value-Oriented Approach Based on DEMO.
  46. Per Runeson,Martin Höst (2009). Guidelines for conducting and reporting case study research in software engineering.
  47. Tomohiko Sakao,Gunilla Ölundh Sandström,Detlef Matzen (2009). Framing research for service orientation of manufacturers through PSS approaches.
  48. Scott Sampson (2010). A unified Service Theory.
  49. Andrew Spencer,Dimitrios Buhalis,Miguel Moital (2012). A hierarchical model of technology adoption for small owner-managed travel firms: An organizational decision-making and leadership perspective.
  50. Neville Stanton,Paul Salmon,Guy Walker,Chris Baber,Daniel Jenkins (2012). Human Factors Methods.
  51. Sultana,Masuda,Rahman,Sanaul Anisur,Chowdhury (2013). A Review of Performance Based Maintenance of Road Infrastructure by Contracting.
  52. Stefano Tonchia,Luca Quagini (2010). Performance Measurement and Indicators.
  53. Stefano Tonchia,Quagini,Luca (2010). Performance Measurement Systems Performance Measurement.
  54. Ming Tseng,Lin Lang,Lin Ru-Jen,Chen Yuan-Hsu,Rong- Hui,Kimhua Tan (2014). Close-loop or open hierarchical structures in green supply chain management under uncertainty.
  55. Steven Walczak (2005). Organizational knowledge management structure.
  56. Yong Wang,Xiaolei Ma,Yunteng Lao,Yinhai Wang (2014). A fuzzy-based customer clustering approach with hierarchical structure for logistics network optimization.
  57. Peter Wild (2010). A systemic framework for supporting cross-disciplinary efforts in services research.
  58. Arch Woodside (2010). Bridging the chasm between survey and case study research: Research methods for achieving generalization, accuracy, and complexity.
  59. Bradley Wright,S Pandey (2010). Transformational Leadership in the Public Sector: Does Structure Matter?.
  60. Robert Yin (2011). Applications of case study research.
  61. Robert Yin (2012). APA handbook of research methods in psychology, Vol 2: Research designs: Quantitative, qualitative, neuropsychological, and biological..
  62. Liu Yuan,K Hipel (2012). A Hierarchical Decision Model to Select Quality Control Strategies for a Complex Product.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

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).

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Journal Specifications

Crossref Journal DOI 10.17406/gjre

Print ISSN 0975-5861

e-ISSN 2249-4596

Version of record

v1.2

Issue date
March 27, 2014

Language
en
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An Approach to Manage and Evaluate Engineering Asset Performance

Mohammed Saif AL Saidi
Mohammed Saif AL Saidi <p>RMIT University</p>
John P. T Mo
John P. T Mo

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