Implementing Effective Preventive & Predictive Maintenance Programmes

What are the Goals?

At the end of this training course, you will learn to:

• Understand how world-class organizations solve common planning problems
• Improve productivity through use of better, more timely information
• Implement a practical and effective predictive maintenance effort
• Improve consistency and reliability of asset information
• Optimize preventive and predictive maintenance strategies

Who is this Training Course for?

This training course is suitable to a wide range of professionals but will greatly benefit:

• Maintenance Managers & Supervisors
• Personnel designated as planners, or identified to become planners
• Predictive Maintenance Technicians & Supervisors
• Key leaders from each Maintenance craft
• Maintenance & Reliability engineers
• Materials Management Managers/Supervisors
• CMMS key users

Daily Agenda

Day One: The Need for Maintenance

• Maintenance & Asset Management as a business process
• Risk Based Maintenance (RBM)
• Causes of Failure
• Likelihood & Severity of Failure - Risk Analysis
• Failure Mode Effect & Criticality Analysis (FMECA)
• Choosing the (preventive) maintenance tasks
• Optimization of Maintenance Decisions
• Failure Pattern Identification
• Statistical Analysis of Failures
• Weibull Analysis
• Zero Base Budgeting
• Define the production requirement
• Define the maintenance requirement

Day Two: Developing the CMMS

• Database & structure
• CMMS & workflow
• CMMS & Maintenance Strategies
• Asset register
• Configuration management

Day Three: The Planning Function

• The maintenance workflow and how it relates to the preventive maintenance strategy
• Roles & responsibilities in work preparation, planning and scheduling
• Principles of work preparation & planning
• Principles of scheduling
• Network planning

Day Four: Predictive Maintenance

• Potential Failure Analysis (PFA)
• Integration of PFA with FMECA & RBM
• Understanding the P-F Interval
• Decide which Technologies to Apply
• Predictive maintenance technologies
• Vibration analysis
• Visual inspection
• Infrared Thermography
• Temperature sensitive labels
• Megger tests
• Ultrasonics
• Oil analysis

Day Five: Control of the Maintenance Process

• Implementation stages of preventive & predictive maintenance strategies
• CMMS integration
• Reporting – use of (Key) Performance Indicators
• Case study