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Implementing Effective Preventive & Predictive Maintenance Programs

Implementing Effective Preventive & Predictive Maintenance Programs
Summary

Preventive and predictive maintenance are both proactive methods of conducting maintenance within a Reliability-Centered Maintenance (RCM) to prevent sudden issues or breakdowns that may happened on your Asset's equipment's. These sudden issues are things that can cause a big loss in your production process. The effects of these problems are failure to achieve production target, the lack of personnel, unprepared spare parts, etc. Preventive and predictive maintenance strategies across your Asset equipment's. Standardizing and review(s) of new and existing strategies to enable arranging activity planning and scheduling these activities at the appropriate time whilst evaluating and analyzing the maintenance's results. Many companies spend excessive amounts either carrying out unnecessary/ inadequate maintenance wasting resources utilization and spare parts.

According to maintenance specialists, at least $200 billion was wasted worldwide. That's just the tip of the iceberg. Bad maintenance is responsible for equipment failures, disrupted production schedules, delays in deliveries, and poor product quality. Predictive maintenance techniques provide data that define required servicing and inspection periods so that maintenance departments can determine in advance when equipment must be shut down for overhaul.

Statistics are proving that these programs, when properly implemented, can minimize equipment and system breakdowns, resulting in a major reduction in total maintenance and operating costs. This dynamic 5-day course covers all facets of Preventive/Predictive Maintenance. It is designed to benefit every level of maintenance personnel, providing the most up-to-date facts and techniques on the maintenance technology that is revolutionizing the way our industry operates. It examines the importance of PPM in a "World Class Maintenance.


Reference
Not Available

Objective

At the end of the course, participants will be able to:  

  • Improved aligned Strategy application throughout the Asset reducing downtime
  • Enhancing your company's Maintenance/Operations departments ability to Plan; Schedule and understanding of Cost Optimization to assure a team approach
  • Best in Class practices
  • Create awareness of up to date planning methods and an integrated organizational approach in the successful Maintenance Scheduling
  • Develop a clearer understanding of their own and every other team member's roles and responsibilities within your CMMS system and procedures
  • Reduce costs through a planned and controlled process
  • Improved communication and use of Technical  history
  • Understanding of Operational Excellence practices

Who should attend

This course is design for: 

  • Maintenance Managers
  • Personnel designated as planners; or identified to become planners
  • Operations/Maintenance Technicians & Supervisors
  • Stakeholders in the Maintenance support team
  • Maintenance & Reliability engineers
  • Materials Management Managers/Supervisors
  • CMMS key users

Additional Information
N/A
Implementing Effective Preventive & Predictive Maintenance Programs
  • Maintenance & Asset Management as a Business Process
  • Risk Based Maintenance (RBM)
  • a. Causes of Failure
  • b. Likelihood & Severity of Failure - Risk Analysis
  • d. Failure Mode Effect & Criticality Analysis (FMECA)
  • e. Choosing the (preventive) Maintenance Tasks
  • Optimization of Maintenance Decisions
  • a. Failure Pattern Identification
  • b. Statistical Analysis of Failures
  • c. Weibull Analysis
  • d. Zero Base Budgeting
  • e. Define the Production Requirement
  • f. Define the Maintenance Requirement
  • Database & Structure
  • CMMS & Workflow
  • CMMS & Maintenance Strategies
  • Asset Register
  • Configuration Management
  • 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
  • Potential Failure Analysis (PFA)
  • a. Integration of PFA with FMECA & RBM
  • b. Understanding the P-F Interval
  • c. Decide which Technologies to Apply
  • Predictive Maintenance Technologies
  • a. Vibration Analysis
  • b. Visual Inspection
  • c. Infrared Thermography
  • d. Temperature Sensitive Labels
  • e. Megger Tests
  • f. Ultrasonics
  • g. Oil Analysis
  • Implementation Stages of Preventive & Predictive Maintenance Strategies
  • CMMS Integration
  • Reporting – Use of (Key) Performance Indicators
  • Case Study
BK Instructor
BK Instructor
Instructor
  • BK Management Team believe that learning is not only about acquiring technical skills, it is also about learning behaviors & Competencies that are desirable for work in plant operation & maintenance critical dimensions. Our holistic teaching develops our delegates' personal effectiveness to function both as an individual and as a team player. The course delivery & modes of instruction will incorporate theory , practical skills and Q&A sessions. 
  • To enhance learning outcomes, theory sessions will comprise classroom based lecture that will intersperse with interactive discussions, scenario-based, case-study, group exercises, video clips, power point slides, learners' Guide and the application of various tools which will be provided to help in the delegates and participants of the learning’s objectives. With successful implementation of the learnt skills they are bound to enhance Individual & Organizational growth.
  • For online / Interactive Virtual sessions, Delegate should have a stable & good Internet connection on his Laptop.

On successful completion of this training course, BK’s Certificate with eligible Continuing Professional Education credits (CPE), will be awarded to the delegates , one CPE credit is granted per 50 minutes of attendance.

Course Features

  • Core : Training
  • Category : Maintenance & Reliability Engineering
  • Days : 5
  • Duaration : 40 Hours