INTRODUCTION
Effectively planned Preventive & Predictive Maintenance which is integrated with the workflow is critical for a successful company and an integral part of maintenance management strategies such as RCM, RBM, TPM, and even 6-Sigma. This comprehensive Maintenance Engineering training seminar on Implementing Effective Preventive & Predictive Maintenance Programmes has been designed to benefit both qualified new professionals as well as experienced professionals who may be involved in the rollout of a comprehensive Maintenance & Asset Management process or auditing an existing process. It covers all the steps required in developing a successful Preventive & Predictive Maintenance Program from failure behavior and finding the right preventive maintenance task until a well-managed preventive & predictive maintenance program, fully integrated with the workflow and the CMMS. Leading industrial organizations are evolving away from reactive ("fix-it-when-it-breaks") management into preventive and predictive management ("anticipating, planning, and fix-it-before-it-breaks"). This evolution requires well-planned and executed actions on several fronts.
This training seminar will highlight:
- Preventive & predictive maintenance strategies and their position within Asset Management
- Risk Based Maintenance
- Maintenance & reliability engineering best practices
- Best practices in planning and scheduling (workflow management)
- The application of CMMS
- Monitoring & managing performance with Key Performance Indicators (KPI’s)
- Continuous improvement aspects
PROGRAM OBJECTIVES
- 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 SHOULD ATTEND?
- 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
PROGRAM OUTLINE
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
- Causes of Failure
- Likelihood & Severity of Failure - Risk Analysis
- Failure Mode Effect & Criticality Analysis (FMECA)
- Choosing the (preventive) Maintenance Tasks
- Failure Pattern Identification
- Statistical Analysis of Failures
- Weibull Analysis
- Define the Production Requirement
- Define the Maintenance Requirement
Developing the CMMS
- Database & Structure
- CMMS & Workflow
- CMMS & Maintenance Strategies
- Asset Register
- Configuration Management
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
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
- Integration of PFA with FMECA & RBM
- Understanding the P-F Interval
- Decide which Technologies to Apply
- Vibration Analysis
- Visual Inspection
- Infrared Thermography
- Temperature Sensitive Labels
- Megger Tests
- Ultrasonics
- Oil Analysis