DATA DRIVEN RISK BASED MANAGEMENT OF ASSETS IN THE WATER INDUSTRY

摘要

A variety of different management approaches have been devised over time for the repair and eventual replacement of equipment within industry. Common models such as Reliability Centre Maintenance and Operational Research Optimal strategies have existed for sometime. They can be successful in achieving management goal, but often they lack insight to the underlying process. The approach taken in this paper is to marry the aspects of a data driven approach along with a risk based approach. The data driven approach provides insight into the performance of the equipment when subject to maintenance, both repair and refurbishment. It can provide insight into when to economically replace equipment based on the cost of continued maintenance. It highlights the non-monotonic nature of the underlying process which is often ignored by theoretical and even practical authors. In the past the current authors have used the data driven approach to develop optimal times for replacement based on an assumed cost basis. This may be acceptable when running a single system, but becomes more problematic over a series of similar pieces of equipment such as in a clean water supply system. The decision to take action in such circumstances will reflect the impact of the action as well as lack of action. At this stage there is a need to take into account impact of change in the equipment in terms of delivery. This could be described through a risk analysis, such as a 5x5 risk matrix. The zones for action can be defined and so the overall strategy defined. This can only be truly assessed if there is clear insight into the behaviour of the system which arises in our case from the data driven approach. The paper will use the water industry to illustrate application of the approach undertaken.