Course Description

This practical and highly-interactive course includes real-life case studies and exercises where participants will be engaged in a series of interactive small groups and class workshops. The chronic problem that many companies struggle with regarding reliability maintenance is transforming their mindset from being reactive to being predictive. The differences are extreme. Reactive maintenance doesnt address machine problems until production is impaired or machines fail. A next phase is preventive. This mindset involves repairing bearings, belts and machines based on a schedule or machine hours. What this doesnt insure is machine failure causing unplanned downtime and unexpected costs. The predictive mindset is proactive. It involves collecting and analyzing machinery information on a periodic basis including vibration, ultrasonic and temperature readings. Predictive maintenance addresses and corrects the root causes of machine problems. It promotes reliability. The benefits of predictive maintenance are that it allows a company to plan down-time and repair machinery on a scheduled basis. Also, it identifies which machines and parts need to be repaired and replaced and which do not.

TRAINING METHODOLOGY

This interactive training course includes the following training methodologies:

30 % Lectures
20 % Workshops & Work Presentations
20 % Case Studies & Practical Exercises
30 % Videos, Software & Simulators

In an unlikely event, the course instructor may modify the above training methodology for technical reasons.

VIRTUAL TRAINING (IF APPLICABLE)

If this course is delivered online as a Virtual Training, the following limitations will be applicable:

Certificates	:	Only soft copy certificates will be issued
Training Materials	:	Only soft copy materials will be issued
Training Methodology	:	80% theory, 20% practical
Training Program	:	4 hours per day, from 09:30 to 13:30