Enhance the impact of our current CBM/Maintenance initiatives

1. Maintenance (CBM) Decision Optimization using the CMMS/EAM, and the reliability (RCM) knowledge base Enhance the impact of our current CBM/Maintenance initiatives Implement livingreliability knowledge management Drive continuous maintenance decision improvement

2. Software • Performs a function(s), and • Embodies a culture and viewpoint

3. The functions of maintenance (decision optimization) software • To build a decision model (a measuring stick) for interpreting condition monitoring data, optimally. • To deploy that model using an automated “intelligent” agent. • To verify the model’s performance and, to improve it continuously.

4. The viewpoint (culture) Premise 1 • Recorded information on what happened has value Premise 2 • We may convert that information to practical, structured reliability-centered knowledge1 Premise 3 • Manage that knowledge using a dynamic, continuous improvement process 1 Knowledge – the ability to make good, verifiable maintenance decisions.

5. PF1 FF2 S3 What do we need on the work order for reliability analysis? 1 Potential failure – has no or relatively minor consequences 2 Functional failure – has consequences resulting from loss of function 3 Suspension – a renewal of a failuer mode / component for reasons other than FF or PF

6. Living RCM search/audit functions

7. Events table

8. Pareto

9. Jack-knife

10. The CBM decision agent applies a decision Model

11. Savings due to optimization

12. Potential failures Total failures Functional failures CBM Performance Assessment

13. Completed Work order Technician Proposed Knowledge document Accepted Knowledge document Planner Significant Work orders Verifier Completed Work order with EventType and RCMREF Knowledge Base Living RCM on BI-Cycle Events table CMMS Reliability analyst Analyses, KPIs, Assessments, Decision models, Procedures, Policies, Document Savings Real time databases, CBM databases Decision Agents: e.g. PI, EXAKT, Case based reasoning, etc. Workflow

14. Reliability knowledge bases Condition monitoring databases Operational Data RCM ISO 14224 SCADA DiagnosticCase base Real time databases CBM (vibration, oil anal. etc) Hazops FMECA Reliability Analysis tools EXAKT OREST, Simulation Spares analysis OLAP, Age/Con, Perdec Good Engineering, Maintenance & Reliability Practices Engineering knowledge, judgment, and experience Living RCM software CMMS

15. Benefits of living RCM • Unification of RA, RCMA, and Optimized CBM with the CMMS. • Residual life estimation and survival probability capability in CBM program • CBM decisions based on true asset condition. • Inherent measures of the effectiveness of those decisions. • Better communications through the use of RCM thinking in daily practice • Inherent continuous improvement

16. Achieving reliability requires us to perform three principal types of activities: • Monitor asset performance, • Tells us to what extent we are maintaining function. • Manage / grow / use reliability knowledge, • Tells what we need to do to maintain function • Analyze reliability. • Tells us about asset failure behavior • So that we can refine the knowledge base

17. Performance management

18. Knowledge management

19. Analyze reliability