Preventive And Predictive Maintenance

20-21 Mar, 2023, AC Hotel Kuala Lumpur by Marriott (Formerly known as Vistana Kuala Lumpur)

IPA Training is Registered with

Learn from the Best

TIMOTHY CHUI
MSC IN ENGINEERING BUSINESS MANAGEMENT
UNIVERSITY OF WARWICK, UK

 

Timothy Chui holds a Master’s in Engineering Management from University of Warwick and is an Incorporated Engineer (Engineering Council , UK).

 

He has more than 30 years of industrial experience and was involved with plant engineering and productivity improvement programs. He is at present a management consultant and has been a trainer for more than 30 years. He has helped many organizations set up their maintenance system and has personally developed a Computerized Maintenance Management System (CMMS) which was awarded a PIKOM finalist in 1994.

 

Timothy Chui has many years of working experience and exposure in different manufacturing industries such as heavy equipment, pharmaceutical, printing and semi-conductors. He has the good communication skill, easy-going and able to make complex systems seem simple. His training is often interspersed with workshops to simulate workplace scenarios.

 

With his vast experience in plant engineering, Timothy has designed and customized courses for his in-house corporate clients who are players in the field of insurance, hospitality, hotel, manufacturing and services.

 

Over the years he has conducted many programmes, some of which include Maintenance Management, Computerized Maintenance Management System, Pumps, Plant and Building Maintenance, Reliability Centred Maintenance, Project Management, Root Cause Failure Analysis, Fire Protection Systems and TPM.

 

His recent CMMS projects was with MNC helping them from data collection, asset hierarchy tagging, planned maintenance scheduling to “Go-Live” implementation. Currently he is still assisting companies to computerize their asset management using CMMS.

Venue Details

AC Hotel Kuala Lumpur by Marriott (Formerly known as Vistana Kuala Lumpur)
9 JALAN LUMUT OFF JALAN IPOH,, KUALA LUMPUR, MALAYSIA, 50400,
Fax : 0 3-40428000

https://www.marriott.com/en-us/hotels/kulka-ac-hotel-kuala-lumpur/overview/?scid=45f93f1b-bd77-45c9-8dab-83b6a417f6fe&y_source= 1_MTQ2NDU5MDEtNDgzL WxvY2F0aW9uLndlYnNpdGU%3D

Contact us

Juliany,
03 2283 6109
juliany@ipa.com.my

Phoebe,
03 2283 6100
phoebe@ipa.com.my 

FOR CUSTOMISED IN-HOUSE TRAINING
Jane,
03 2283 6101
Jane@ipa.com.my

ADDRESS 
A-28-5, 28th Floor, Menara UOA Bangsar, 
No.5, Jalan Bangsar Utama 1, 
59000 Kuala Lumpur
www.ipa.com.my

FOCUSING ON
  • Module 1 – Overview
  • Module 2 – Maintenance Planning
  • Module 3 – The Scheduling Process
  • Module 4 – Computerized Maintenance Management System (CMMS)
    and Planned Maintenance
  • Module 5 – Predictive Maintenance I
  • Module 6 – Predictive Maintenance II
  • Module 7 – Reliability Maintenance
  • Module 8 – Maintenance Improvement
OVERVIEW

Maintenance has evolved over the years from a pure reactive mode to preventive maintenance to a proactive mode. Predictive Maintenance is another proven method that has been responsible for increased earning capabilities by increasing online reliability and minimizing unscheduled downtime. This course will show you how to complement your Preventive Maintenance with Predictive Maintenance to produce an effective maintenance.

 

In today competitive marketplace, there is less tolerance for unplanned downtime. Industry is experiencing the pressure of rising costs, foreign competition, and the need to improve work force productivity.

 

Statistics have shown that Preventive Maintenance when properly implemented can minimize equipment and system breakdowns, resulting in a major reduction in total maintenance and operating costs.

 

Predictive maintenance is not only useful for long-term trending of equipment condition but is an ideal benchmarking tool. Data derived from predictive maintenance programs provides the most accurate means of scheduling corrective and preventive maintenance tasks.

 

When used properly, predictive maintenance defines the specific interval and type of maintenance tasks required to sustain optimum operating condition and to extend the useful life of critical plant systems.

 

These same predictive maintenance techniques can be used to achieve maximum utilization of plant resources. Regular evaluation of equipment condition and prompt attention to deviations detected by the predictive analysts eliminate both scheduled and unscheduled downtime.

AFTER ATTENDING THIS COURSE YOU WILL RETURN TO YOUR JOB…
  1. Learning the Preventive Maintenance Principles.
  2. Learning practical conditioning monitoring techniques.
  3. Learning about predictive maintenance and its technologies.
  4. Learning how to use Predictive Maintenance (PdM) to improve equipment care.
  5. Harnessing the power of Computerized Maintenance Management System (CMMS)
    for maintenance excellence
WHO SHOULD ATTEND
Plant Managers and Engineers, Maintenance Managers and Engineers, Maintenance Planners , Officers , Technicians and Engineering Staffs who are involved in maintenance planning, maintaining and servicing of plant and production equipment.
METHODOLOGY
Classroom and exercises to enhance understanding. For maximum learning impact and retention, they use audience participation techniques such as individual exercises, group exercises / discussions, peer-teaching activities and practical examples.
DAY 1
9:00

MODULE 1 – OVERVIEW

  • “Best in Class” maintenance
  • Benefits of good maintenance
  • Effective Maintenance Survey Exercise
  • The “Silver Bullets”
  • The Maintenance Process


10.45

MODULE 2 – MAINTENANCE PLANNING

  • Building Equipment Hierarchy
  • Type of Maintenance
  • PM Task Categories
  • Maintenance Selection Logic 

 

1:00 Lunch
2:00

MODULE 3 – THE SCHEDULING PROCESS

  • A Work Order System
  • How to Rank Equipment Criticality
  • Scheduling Tools
  • Computerized Maintenance
    Management System (CMMS)

 

3:45

Module 4 – Computerized Maintenance Management System (CMMS) and Planned Maintenance

  • The Benefits
  • Computerized Maintenance Management System (CMMS) Implementation
  • Computerized Maintenance Management System (CMMS) Selection

 

5:00 End of Day1
DAY 2
9:00

MODULE 5 – PREDICTIVE MAINTENANCE I

  • Condition-based Maintenance
  • The Role of Predictive Maintenance (PdM)
  • Predictive Technologies
  • The Need for Predictive Maintenance (PdM)


10.45

MODULE 6 – PREDICTIVE MAINTENANCE II

  • What is Vibration Analysis?
  • Practical Condition Monitoring
  • Specific Examples

 

1:00 Lunch
2:00

MODULE 7 – RELIABILITY MAINTENANCE

  • Availability vs Reliability
  • Mean Time between Failure
  • Failure modes
  • Metrics, Indices, and Reports

 

3:45

MODULE 8 – MAINTENANCE IMPROVEMENT

  • Understanding the basics
  • Function Failures
  • Root Cause Failure Analysis (RCFA) Process Toolset
  • Identifying Root Causes
  • One Point Lesson
5:00 End of Course