COURSE OVERVIEW:

The primary meaning of this course centers on the mathematical and practical application of Mean Time Between Failures as the definitive metric for asset health and organizational reliability. Participants will explore the deep relationship between MTBF and other critical performance indicators, moving beyond simple arithmetic to understand how these metrics influence corporate financial outcomes and operational stability. The course focuses on using data as a diagnostic tool to identify systemic issues within the maintenance lifecycle.

The scope of this training encompasses the entire data journey, from the initial point of failure entry in the CMMS to the high-level analysis used by executive leadership to steer capital investment. It involves detailed instruction on calculating reliability metrics for different equipment configurations, including series and parallel systems. Attendees will examine how to correlate MTBF trends with maintenance intervention quality and how to utilize these insights to justify shifts from reactive to proactive maintenance cultures.

Coverage includes the development of standardized failure definitions, the use of Crow-AMSAA plots for reliability growth monitoring, and the integration of MTTR and availability into a unified performance dashboard. The curriculum provides specific strategies for improving MTBF through precision maintenance, root cause analysis, and defect elimination. By the end of this program, participants will be able to design a robust KPI framework that provides a clear, data-driven roadmap for increasing the longevity and productivity of industrial assets.

COURSE OBJECTIVES:

After completion of this course, the participants will be able to:

• Define the statistical principles of MTBF and its role in modern reliability engineering.
• Standardize failure reporting protocols to ensure high-quality data input.
• Calculate MTBF for complex systems using both manual and software-assisted methods.
• Differentiate between "Mean Time To Failure" and "Mean Time Between Failures."
• Analyze the "Bathtub Curve" to identify infant mortality and wear-out stages.
• Utilize Crow-AMSAA plots to track and visualize reliability growth over time.
• Integrate MTBF with Mean Time To Repair to determine Inherent Availability.
• Identify the "Bad Actor" assets through Pareto analysis of MTBF data.
• Quantify the financial impact of low MTBF on production revenue and maintenance cost.
• Implement a "Defect Elimination" program based on reliability KPI findings.
• Design a balanced maintenance scorecard featuring both leading and lagging indicators.
• Communicate reliability trends effectively to senior management using visual analytics.

TARGET AUDIENCE:

This course is designed for Reliability Engineers, Maintenance Managers, Asset Analysts, Maintenance Planners, and Operations Supervisors.

TRAINING COURSE METHODOLOGY:

A highly interactive combination of lectures, discussion sessions, and case studies will be employed to maximize the transfer of information, knowledge, and experience. The course will be intensive, practical, and highly interactive. The sessions will start by raising the most relevant questions and motivating everybody to find the right answers. The attendants will also be encouraged to raise more of their questions and to share in developing the right answers using their analysis and experience. There will also be some indoor experiential activities to enhance the learning experience. Course material will be provided in PowerPoint, with necessary animations, learning videos, and general discussions.

The course participants shall be evaluated before, during, and at the end of the course.

COURSE CERTIFICATE:

National Consultant Centre for Training LLC (NCC) will issue an Attendance Certificate to all participants completing a minimum of 80% of the total attendance time requirement.