Abstract
ISO 55000 puts ‘value’ at the core of asset management. This paper provides a framework to help production companies implement value-based Asset Management (AM) in a way that it contributes to operational excellence. Value-based AM is achieved when the value delivered by assets is used by the organization as the key decision criterion to choose between different AM options (both at tactical and operational level). Given this perspective, it is vital that organizations are able to quantify the value delivered by their assets and manage that value through informed and coherent decision-making. Value-based AM is still a concept more quoted in theory than described in practical terms. A clear understanding about the main elements that are needed to enable it is still missing in industrial practice. The framework presented in this paper provides the key elements needed for successful integration of a value quantification model with the AM system to ensure the effective implementation of value-based approach in AM.
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References
Amadi-Echendu, J. (2004). Managing physical assets is a paradigm shift from maintenance. In Engineering Management Conference, pp. 1156–1160.
Amadi-Echendu, J., Willett, R., & Brown, K. (2010). What is engineering asset management? Definitions Concepts and Scope of Engineering Asset Management (pp. 3–16). London: Springer.
Borek, A., et al. (2014). A risk based model for quantifying the impact of information quality. Computers in Industry, 65(2), 354–366.
El-Akruti, K., Dwight, R., & Zhang, T. (2013). The strategic role of Engineering Asset Management. International Journal of Production Economics, 146(1), 227–239.
IAM. (2008). The IAM Competences Framework (November).
ISO 55000:2014(E). (2014). Asset management—Overview, principles and terminology.
Kans, M., & Ingwald, A. (2008). Common database for cost-effective improvement of maintenance performance. International Journal of Production Economics, 113, 734–747.
Koronios, A., Lin, S., & Gao, J. (2006). A data quality model for asset management in engineering organisations. International Conference on Information Quality (MIT IQ Conference, p. 25).
Liang, Z., Parlikad, A. K. (2015a). A condition-based maintenance model for as-sets with accelerated deterioration due to fault propagation, IEEE Transactions on Reliability (Article in Press).
Liang, Z., & Parlikad, A. K. (2015b). A tiered modelling approach for condition based maintenance of industrial assets with load sharing interaction and fault propagation. IMA Journal of Management Mathematics, 26(2), 125–144.
Liyanage, J. P., & Kumar, U. (2003). Towards a value-based view on operations and maintenance performance management. Journal of Quality in Maintenance Engineering, 9(4), 333–350.
Moore, W. J., & Starr, A. G. (2006). An intelligent maintenance system for continuous cost-based prioritisation of maintenance activities. Computers in Industry, 57(6), 595–606.
Nicolai, R. P., & Dekker, R. (2008). Optimal maintenance of multi-component systems: A review. In Complex System Maintenance Handbook. London: Springer.
Ouertani, M., Parlikad, A., & McFarlane, D. (2008). Towards an approach to select an asset information management strategy. IJCSA, 5(3), 25–44.
Roda, I., & Garetti, M. (2015). Application of a performance-driven Total Cost of Ownership (TCO) evaluation model for physical asset management. In 9th WCEAM Research Papers, pp. 11–23. Springer International Publishing.
Srinivasan, R., & Parlikad, A. (2015). A process for value based asset management decision making. In 10th WCEAM Proceedings, Tampere, Finland.
Tam, A. S. B., & Price, J. W. H. (2008). A generic asset management framework for optimising maintenance investment decision. Production Planning & Control, 19(4), 287–300.
Parlikad A. K. N., & Wang, J. Q. (2015). Designing performance measures for asset management systems in capital-intensive manufacturing: A case study. In 10th WCEAM proceedings, Tampere, Finland.
Xu, Y., Elgh, F., & Erkoyuncu, J. (2013). Cost Engineering for manufacturing: Current and future research. International Journal of Computer Integrated Manufacturing, 37–41.
Acknowledgments
The research work was performed within the context of Sustain-Owner (“Sustainable Design and Management of Industrial Assets through Total Value and Cost of Ownership”), a project sponsored by the EU Framework Programme Horizon 2020, MSCA-RISE-2014: Marie Skłodowska-Curie Research and Innovation Staff Exchange (RISE) (grant agreement number 645733—Sustain-Owner—H2020-MSCA-RISE-2014)
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Roda, I., Parlikad, A.K., Macchi, M., Garetti, M. (2016). A Framework for Implementing Value-Based Approach in Asset Management. In: Koskinen, K., et al. Proceedings of the 10th World Congress on Engineering Asset Management (WCEAM 2015). Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-27064-7_47
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DOI: https://doi.org/10.1007/978-3-319-27064-7_47
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