PREVENTIVE & PREDiCTIVE MAINTENANCE
TRAINING
1 DAY | 7 HOURS TRAINING PROGRAMME
ONLINE OR FACE-TO-FACE TRAINING
This 1-day Preventive & Predictive Maintenance training course is designed to equip participants with the knowledge and skills to implement and manage effective maintenance programs. The course covers the fundamentals of preventive and predictive maintenance, their benefits, and practical strategies for optimizing maintenance activities. Through interactive sessions, practical exercises, and real-world examples, participants will learn how to enhance equipment reliability, reduce downtime, and extend the lifespan of assets.
OBJECTIVES
Understand the principles and benefits of preventive and predictive maintenance
Learn to develop and implement a preventive maintenance program
Gain skills in using predictive maintenance tools and techniques
Identify and analyze maintenance needs and priorities
Enhance equipment reliability and minimize downtime
Apply best practices for maintenance planning and scheduling
LEARNING OUTCOMES
Proficiency in preventive and predictive maintenance concepts
Ability to design and manage maintenance programs
Improved skills in using maintenance tools and technologies
Enhanced capability to analyze and prioritize maintenance activities
Increased equipment reliability and operational efficiency
Practical experience with maintenance planning and execution
WHO SHOULD ATTEND
Maintenance managers and supervisors
Maintenance engineers and technicians
Reliability engineers
Plant and facility managers
Operations managers
Anyone involved in maintenance planning and management
COURSE OUTLINE
DURATION : 1 DAY (7 HOURS OF TRAINING AND HANDS-ON PRACTICAL WORKSHOP)
NOTE: Based on the client's request, this course can be tailor-made for the client's industry/field. Bespoke (along with general) examples will be used to ensure trainees will be able to apply their knowledge immediately for their company benefits.
This comprehensive 1-day course ensures that participants leave with a solid understanding of preventive and predictive maintenance principles and practical strategies to implement and manage effective maintenance programs in their organizations.
Session 1: Introduction to Preventive & Predictive Maintenance
Welcome and course overview
Importance of maintenance in asset management
Definitions and differences between preventive and predictive maintenance
Overview of maintenance strategies and their benefits
Session 2: Preventive Maintenance
Principles and objectives of preventive maintenance
Developing a preventive maintenance plan
Scheduling and planning preventive maintenance tasks
Common preventive maintenance activities and procedures
Case studies of successful preventive maintenance programs
Session 3: Predictive Maintenance
Introduction to predictive maintenance and its benefits
Key predictive maintenance techniques: Vibration analysis, thermography, oil analysis, and ultrasonic testing
Using predictive maintenance tools and technologies
Data collection and analysis for predictive maintenance
Real-world examples of predictive maintenance applications
Session 4: Implementing Maintenance Programs
Steps to develop and implement maintenance programs
Identifying and prioritizing maintenance activities
Setting maintenance goals and KPIs
Integrating maintenance programs with CMMS (Computerized Maintenance Management Systems)
Group activity: Designing a sample maintenance program
Session 5: Best Practices for Maintenance Planning and Scheduling
Best practices for maintenance planning
Techniques for effective scheduling
Resource allocation and management
Monitoring and adjusting maintenance plans
Continuous improvement in maintenance practices
Session 6: Wrap-Up and Action Planning
Recap of key concepts and techniques
Developing a personal or organizational action plan
Open floor for questions and discussion
Course feedback and evaluation
CONTACT ZAID AT +60 12-422 9304 FOR DETAILS
Certificate
Upon successful completion of the course, participants will be awarded a verified certificate by
Marc & Zed or/and Universiti Kuala Lumpur (UniKL)