Abstract
It is widely acknowledged that effective asset management requires an interdisciplinary approach, in which synergies should exist between traditional disciplines such as: accounting, engineering, finance, humanities, logistics, and information systems technologies. Asset management is also an important, yet complex business practice. Business process modelling is proposed as an approach to manage the complexity of asset management through the modelling of asset management processes. A sound foundation for the systematic application and analysis of business process modelling in asset management is, however, yet to be developed. Fundamentally, a business process consists of activities (termed functions), events/states, and control flow logic. As both events/states and control flow logic are somewhat dependent on the functions themselves, it is a logical step to first identify the functions within a process. This research addresses the current gap in knowledge by developing a method to identify functions common to various industry types (termed core functions). This lays the foundation to extract such functions, so as to identify both commonalities and variation points in asset management processes. This method describes the use of a manual text mining and a taxonomy approach. An example is presented.
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Frolov, V., Ma, L., Sun, Y., Bandara, W. (2010). Identifying Core Functions of Asset Management. In: Amadi-Echendu, J., Brown, K., Willett, R., Mathew, J. (eds) Definitions, Concepts and Scope of Engineering Asset Management. Engineering Asset Management Review, vol 1. Springer, London. https://doi.org/10.1007/978-1-84996-178-3_2
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DOI: https://doi.org/10.1007/978-1-84996-178-3_2
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