Maintenance Analytics

This Maintenance Analytics training course will address analytics and operational research methods for better decisions in maintenance. The training course will focus on the application of decision analysis as part of a professional’s work, including assessment of uncertainties, calculating risk, performing sensitivity analysis, and clarifying the value of information and of decisions.  

This comprehensive training course examines techniques for decision analysis with emphasis on prioritization and the decision making process to be carried out by Operation, Maintenance and Reliability Professionals. It provides a strong overall view of key decisions related to areas for operations, maintenance and reliability activities including examples related to these fields and case studies of learning from both success and failures. 

This Maintenance Analytics training course will highlight:

• Learning from major disasters & understanding risk and resilience management
• Establishing importance or priority to rank the alternatives is a comprehensive & general way to look at the problem in a formal manner
• Application of multi criteria decision-making (MCDM) to practical problems
• Introduction to different operational research & management science methods
• Enhance decision-making with goals and criteria & show how to measure and rank them

By the end of This Maintenance Analytics training course, participants will be able to:

• Improve productivity through use of better, timelier information
• Understand how world-class organisations solve common asset management problems
• Optimise planning and scheduling resources, carry out optimised failure analyses
• Optimise asset management budgets by avoidance of unplanned equipment failures in service
• Develop a practical approach of an action plan to utilise these technologies in their own areas of responsibility

This Maintenance Analytics training course is suitable for a wide range of professionals but will greatly benefit:

• Maintenance and Reliability Managers
• Maintenance and Reliability Supervisors 
• Personnel designated as planners, or identified to become planners 
• Team leaders from each Maintenance craft 
• Key Operations Supervisors 
• Materials Management Managers/Supervisors 
• CMMS Administrator or key users 
• Key Maintenance support assistants 
• Other stakeholders in the Work Planning Function 

This Maintenance Analytics training course will utilise a variety of proven adult learning techniques to ensure maximum understanding, comprehension and retention of the information presented. This includes hands-on, stimulating experience and using interactive user friendly decision analysis software. The training course is highly interactive with many discussion and facilitated practice sessions. Key points will be emphasised with case study examples. There will be a combination of presentation sessions and workshops during in this course.