Business Performance Measurements in Asset Management with the Support of Big Data Technologies

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Abstract

The paper reviews the performance measurement in the domain of interest. Important data in asset management are further, discussed. The importance and the characteristics of today’s ICTs capabilities are also mentioned in the paper. The role of new concepts such as big data and data mining analytical technologies in managing the performance measurements in asset management are discussed in detail. The authors consequently suggest the use of the modified Balanced Scorecard methodology highlighting both quantitative and qualitative aspects, which is crucial for optimal use of the big data approach and technologies.

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  • [1] D. Baglee M. Knowles and S. Kinnunen “A Proposed Maintenance Strategy for a Wind Turbine Gearbox Using Condition Monitoring Techniques” International Journal of Process Management and Benchmarking vol. 6 no. 3 pp. 386-403 2016.

  • [2] J. Lee J. Ni D. Djurdjanovic H. Qiu and H. Liao “Intelligent prognostics tools and e-maintenance” Computers in Industry vol. 57 no. 6 pp. 476-489 2006.

  • [3] T. Taticchi F. Tonelli and L. Cagnazzo “Performance Measurement and Management: A Literature Review and a Research Agenda” Measuring Business Excellence vol. 14 no. 1 pp. 4-18 2010.

  • [4] U. Kumar D. Galar A. Parida C. Stenström and L. Berges ”Maintenance performance metrics: a state of the art review” Journal of Quality in Maintenance Engineering vol. 19 no. 3 pp. 233-277 2013.

  • [5] S. Srimai J. Radford and C. Wright “Evolutionary paths of performance measurement” International Journal of Productivity and Performance Management vol. 60 no. 7 pp. 662-687 2011.

  • [6] M. Gosselin “An empirical study of performance measurement in manufacturing firms” International Journal of Productivity and Performance Management vol. 54 no. 5/6 pp. 419-437 2005.

  • [7] J. Dearden “The case against ROI control” Harvard Business Review vol. 47 no. 3 pp. 124-135 1969.

  • [8] N. Olve J. Roy and M. Wetter Performance Drivers: A practical guide to using the balanced scorecard. Chichester: John Wiley and Sons 1999.

  • [9] R.S. Kaplan and D.P. Norton “The Balanced Scorecard - Measures That Drive Performance” Harvard Business Review vol. 70 no. 1 pp. 71-79 Jan-Feb 1992.

  • [10] D.P. Keegan R.G. Eiler and C.R. Jones “Are your performance measures obsolete?” Management Accounting vol. 70 no. 12 pp. 45-50 1989.

  • [11] L. Fitzgerald R. Johnston T.J. Brignall R. Silvestro and C. Voss Performance Measurement in Service Businesses. London: CIMA 1991.

  • [12] G. Azzone C. Masella and U. Bertelè “Design of performance measures for time-based companies” International Journal of Operations & Production Management vol. 11 no. 3 pp. 77-85 1991.

  • [13] K.F. Cross and R.L. Lynch “The SMART way to sustain and define success” National Productivity Review vol. 8 no. 1 pp. 23-33 1998.

  • [14] U.S. Bititci A.S. Carrie and L. McDevitt “Integrated performance measurement systems: a development guide” International Journal of Operation and Production Management vol. 17 no. 5 pp. 522-534 1997.

  • [15] A. Neely C. Adams and M. Kennerley The Performance Prism: The Scorecard for Measuring and Managing Business Success. London: Prentice Hall Financial Times 2002.

  • [16] I. Nonaka Harvard Business Review on Knowledge Management Harvard Business School Press 1991.

  • [17] L. Pintelon N. Du Preez and F. Van Puyvelde “Information technology: opportunities for maintenance management” Journal of Quality in Maintenance Engineering vol. 5 no. 1 pp. 9-24 1999.

  • [18] A. Neely J. Mills K. Platts H. Richards M. Gregory M. Bourne and M. Kennerley “Performance measurement system design: developing and testing a process based approach” International Journal of Operations & Production Management vol. 20 no. 10 pp. 1119- 1145 2000.

  • [19] L. Pintelon and F. Van Puyvdelde “Maintenance Performance Reporting Systems: Some Experiences” Journal of Quality in Maintenance Engineering vol. 3 no. 1 pp. 4-15 1997.

  • [20] R.A. Dwight “Searching for Real Maintenance Performance Measures” Journal of Quality in Maintenance Engineering vol. 5 no. 3 pp. 258-75 1999.

  • [21] R.A. Dwight “Concepts for measuring maintenance performance” in New Developments in Maintenance: An International View H.H. Martin Ed. Utrecht: Moret Ernst & Young Management Consultants 1995.

  • [22] M. Kennerley and A. Neely “Measuring performance in a changing business environment” International Journal of Operations and Production Management vol. 23 no. 2 pp. 213-229 2003.

  • [23] J.H. Lingle and W.A. Schiemann “From balanced scorecard to strategy gauges: Is measurement worth it?” Management Review vol. 85 no. 3 pp. 56-62 1996.

  • [24] A. Neely “The performance measurement revolution: why now and where next” International Journal of Operation & Production Management vol. 19 no. 2 pp. 205-228 1999.

  • [25] U. Al-Turki and S. Duffuaa “Performance measures for academic departments” International Journal of Educational Management vol. 17 no. 7 pp. 330-338 2003.

  • [26] G. Lawrie and I. Cobbold “Development of the 3rd Generation Balanced Scorecard. Evolution of the Balanced Scorecard into an effective strategic performance management tool” 2GC Active Management Maidenhead Berkshire UK 2002.

  • [27] R.S. Kaplan and D.P. Norton The Balanced Scorecard: Translating Strategy into Actions Boston (MA): Harvard Business School Press 1996.

  • [28] R.S. Kaplan and D.P. Norton “Putting the Balanced Scorecard to Work” Harvard Business Review vol. 71 no. 5 pp. 134-147 Sept-Oct. 1993.

  • [29] R. Newing “Wake Up to the Balanced Scorecard!” Management Accounting vol. 73 no. 3 1995.

  • [30] J.P. Kotter “Leading Change: Why transformation efforts fail?” Harvard Business Review vol. 73 no. 2 pp. 59-67 Mar-Apr. 1995.

  • [31] A. Parida and U. Kumar “Maintenance performance measurement (MPM): issues and challenges” Journal of Quality in Maintenance Engineering vol. 12 no. 3 pp. 239-251 2006.

  • [32] A. Parida “Asset Performance Assessment” in Asset Management. The State of the Art in Europe from a Life Cycle Perspective T. Van der Lei P. Herder and Y. Wijnia Eds. Houten: Springer Netherlands 2013 pp. 101-113.

  • [33] A. Parida and G. Chattopadhyay “Development of Multi-Criteria Hierarchical framework for Maintenance Performance Measurement (MPM)” Journal of Quality in Maintenance Engineering vol. 13 no. 3 pp. 241-258 2007.

  • [34] J. Fan and Y. Fan “High dimensional classification using features annealed independence rules” Annals of Statistics vol. 36 no. 6 pp. 2605-2637 2008.

  • [35] J. Fan F. Han and H. Liu “Challenges of Big Data analysis” National Science Review vol. 1 no. 2 pp. 293- 314 2014.

  • [36] X. Wu X. Zhu G-Q. Wu and W. Ding “Data Mining with Big Data” IEEE transactions on knowledge and data engineering vol. 26 no. 1 pp. 97-107 2014.

  • [37] H.V. Jagadish J. Gehrke A. Labrinidis Y. Papakonstantinou J.M. Patel R. Ramakrishnan and C. Shahabi “Big Data And Its Technical Challenges” Communications Of The ACM vol. 57 no. 7 pp. 86-94 2014.

  • [38] P. Folan and J. Browne “A Review of Performance Measurement: Towards Performance Management” Computers in Industry vol. 56 no. 7 pp. 663-680 2005.

  • [39] N. Venkatraman and J.C. Henderson ”Business platforms for the 21st Century” in Mastering Information Management D.A. Marchand T.H. Davenport and T. Dickson Eds. Harlow (FT): Prentince Hall 2000.

  • [40] L. Ward and J. Peppard Strategic planning for information systems. Chichester: Wiley 2002.

  • [41] G. Wang C. Liu and Y. Cui “Clustering diagnosis of rolling element bearing fault based on integrated Autoregressive/ Autoregressive Conditional Heteroscedasticity model” Journal of Sound and Vibration vol. 331 no. 19 pp. 4379-4387 2012.

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