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Maintenance optimization:
- Age, block and minimal repair strategies.
Choice of maintenance strategy is an important issue, in particular where maintenance is costly or the equipment is not easily accessable. The big question is: When should we do maintenance and what tasks and equipment should be included. Maintenance of railway tracks is one such example of an application where this is an important (and cost-driving) decision and intervention (for maintenance) of subsea facilities is another. Analyses of the the costs associated with these maintentance strategies define what is sometimes called the maintenance cost significant items.
- Modeling of effecitve failure rate:
Identifying the maintenance cost signifant items is not the only parameter of interest on a decision about when to doe maintenance Maintenance significant items
How to define requirements for safety systems and barriers, and how to assess the reliability of safety instrumented systems with background in IEC 61508 and related standards. This includes SIL allocation, risk acceptance criteria, requirements for design of technical and operational barriers, alternative strategies for treatment of common cause failures, various methods for determining proof test intervals, and trade off between safety and regularity. Within maintenance optimization the following topics are covered: Age, block, and minimal repair policies. Optimisation of intervals and intervention level in condition monitoring models. Optimum grouping of maintenance activities. Spare part optimisation. Reliability Centred maintenance. Data collection and analysis. In relation to technical safety we study how the result from the risk analysis may be utilized to assess the effect of various safety system configurations, and combination of these under various constraints.
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Tutorials will focus on the application of lectured methods, and in particular comparing results of using different approaches. Two or three case studies will be introduced and used as basis for the problem solving. Matlab, Maple and Grif (the latter is a rather recent software for reliability assessment in use here at the NTNU) are used in relation to will be preferred to assist the reliability analyses.
Maintenance optimization: