TDI

Preventive and Predictive Maintenance Excellence

Duration

5 Days

Start Date

1-Dec-2025

End Date

5-Dec-2025

Venue

ROME - ITALY

price

1690 KD

20% discount for group above 5 attendees

 

Course Overview:

This course focuses on advanced strategies and best practices in preventive and predictive maintenance to maximize equipment reliability, reduce downtime, and optimize maintenance costs. Participants will learn to implement maintenance programs using data-driven techniques and condition monitoring tools.

Course Objectives:

By the end of this course, participants will be able to:

  • Understand the principles and benefits of preventive and predictive maintenance
  • Develop and implement effective maintenance plans
  • Utilize condition monitoring technologies for predictive maintenance
  • Analyze maintenance data to improve decision-making
  • Reduce unplanned downtime and extend equipment life
  • Integrate maintenance strategies with overall asset management

Who Should Attend:

  • Maintenance managers and supervisors
  • Reliability engineers and technicians
  • Operations and production personnel
  • Asset managers and planners
  • Engineers involved in maintenance strategy development

Course Outline:

Introduction to Maintenance Excellence

  • Definitions and concepts of preventive and predictive maintenance
  • Maintenance’s role in asset management
  • Benefits and challenges

Preventive Maintenance Strategies

  • Planning and scheduling techniques
  • Maintenance task development and prioritization
  • Key performance indicators (KPIs) for preventive maintenance

Predictive Maintenance Technologies

  • Condition monitoring tools: vibration analysis, thermography, oil analysis, ultrasonic testing
  • Data acquisition and trend analysis
  • Diagnostic and prognostic methods

Data-Driven Maintenance Decision Making

  • Root cause analysis (RCA) and failure mode effects analysis (FMEA)
  • Using maintenance management software (CMMS/EAM)
  • Optimizing maintenance intervals

Implementing Maintenance Programs

  • Change management and team involvement
  • Resource planning and budgeting
  • Continuous improvement and benchmarking

Case Studies and Best Practices

  • Real-world examples of successful maintenance programs
  • Lessons learned from maintenance failures
  • Industry standards and compliance considerations