Abstract
Optimal Asset Maintenance (AM) decisions are imperative for efficient asset management. Decision Support Systems (DSSs) are often used to help asset managers make maintenance decisions, but high quality decision support must be based on sound decision-making principles. For long-lived assets, a successful AM decision-making process must effectively handle multiple time scales. For example, high-level strategic plans are normally made for periods of years, while daily operational decisions may need to be made within a space of mere minutes. When making strategic decisions, one usually has the luxury of time to explore alternatives, whereas routine operational decisions must often be made with no time for contemplation. In this paper, we present an innovative, flexible decision-making process model which distinguishes meta-level decision making, i.e. deciding how to make decisions, from the information gathering and analysis steps required to make the decisions themselves. The new model can accommodate various decision types. Three industrial cases are given to demonstrate its applicability.
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Sun, Y., Fidge, C., Ma, L. (2012). A Flexible Asset Maintenance Decision-Making Process Model. In: Amadi-Echendu, J., Willett, R., Brown, K., Mathew, J. (eds) Asset Condition, Information Systems and Decision Models. Engineering Asset Management Review. Springer, London. https://doi.org/10.1007/978-1-4471-2924-0_8
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DOI: https://doi.org/10.1007/978-1-4471-2924-0_8
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