Improve your career skills and value to your operation with the Certified Maintenance Planner course.

This 3-day course will not only teach you the theory of maintenance planning but also arm you with the knowledge to achieve maintenance reliability through effective work scheduling.

Maintenance Transformations is described as New Zealand’s leading practitioners on the practical application of maintenance planning, bringing experience across multiple industries, countries and corporates.

Principal Craig Carlyle (NZCE Mech, Maintenance Engineering Society Life Member) is recognised globally for his practical experience, success and passion for helping engineers succeed and this course is designed to pass on and certify that knowledge. Whether you want to learn the basic skills or understand what you need to do to achieve maintenance excellence in your workplace, this is your first step to success.

Attendees are invited to use their own workplace examples to develop and optimise maintenance plans during training exercises. Certification is issued upon satisfactory completion of the course work, practice exercises and test.

Course are held in Auckland (October 17-19) and Christchurch (October 26-28).

Each three-day course has a cost of $2750+GST.

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Topics covered:

– Maintenance as a business weapon
– Maintenance evolution
– Technical competence and technical confidence.
– Maintenance planning
    – The reliability bath tub curve
    – Failure modes
    – Invasive risks
    – Maintenance strategies (RCA, RCM, failure, predictive, scheduled, HAZOP, condition monitoring)
    – Frequency modes
    – PM optimisation
    – Zero based planning
    – The detective mode
– Work scheduling
    – Backlogs vs frontlogs
    – The chaos theory of work scheduling
    – Creating a professional scheduling system
    – PM vs unplanned vs compliance vs requests
    – Balancing demand and satisfying customers
    – JIT purchasing
    – Effective KPI’s
– Computerised maintenance management systems
    – Relational databases
    – Constructing your data
    – Data in and data out
    – Leveraging information
    – Virtual stores