Course

Optimizing Operation: Mastering Preventive and Autonomous Maintenance (AM & PM)

The "Optimizing Operation" course focuses on mastering preventive and autonomous maintenance (AM & PM) strategies to ensure equipment reliability and minimize downtime in manufacturing and industrial settings. Participants will learn essential principles, techniques, and best practices for implementing effective maintenance programs that enhance operational efficiency and productivity.

  • Understand the importance of preventive and autonomous maintenance in equipment reliability.
  • Learn the principles and methodologies of preventive maintenance (PM) and autonomous maintenance (AM).
  • Gain practical skills in developing and implementing preventive maintenance schedules.
  • Explore techniques for conducting autonomous maintenance activities and involving frontline operators.
  • Understand the role of maintenance data analysis in optimizing maintenance strategies.
  • Learn how to integrate preventive and autonomous maintenance into overall maintenance management systems.
  • Comprehensive understanding of preventive and autonomous maintenance principles.
  • Practical skills in developing and implementing preventive maintenance schedules.
  • Techniques for involving frontline operators in autonomous maintenance activities.
  • Insights into maintenance data analysis for optimizing maintenance startegies.
  • Integration startegies for incorporating preventive and autonomous maintenance into overall maintenance management systems.

Maintenance managers, engineers, technicians, operators, and supervisors responsible for equipment maintenance and reliability.

Manufacturing, process industries, facilities management, and any industry relying on equipment maintenance for smooth operations.

  • Introduction to Preventive and Autonomous Maintenance (PM & AM)
  • Principles and Methodologies of Preventive Maintenance
  • Developing Preventive Maintenance Schedules
  • Techniques for Autonomous Maintenance Activities
  • Involving Frontline Operators in Autonomous Maintenance
  • Maintenance Data Analysis for Optimization
  • Integration of PM & AM into Maintenance Management Systems