Maintenance Analytics

Introduction

Maintenance Analytics is the application of data-driven techniques to optimize maintenance operations and enhance asset performance. This GLOMACS Maintenance Analytics training course provides a comprehensive overview of maintenance analytics, covering data collection, analysis, and interpretation to drive informed decision-making.

Participants will learn how to leverage maintenance data to predict equipment failures, optimize maintenance schedules, and reduce downtime. Through a combination of theoretical knowledge and practical exercises, attendees will develop the skills necessary to implement maintenance analytics within their organizations.

Objectives

Upon completion of this Maintenance Analytics training course, participants will be able to:

• Understand the fundamentals of maintenance analytics and its role in asset management.
• Identify and collect relevant maintenance data for analysis.
• Apply data analysis techniques to extract valuable insights from maintenance data.
• Develop predictive maintenance models to optimize maintenance schedules.
• Calculate key performance indicators (KPIs) to measure maintenance performance.
• Utilize maintenance analytics to improve asset reliability and reduce maintenance costs.
• Communicate analytical findings effectively to stakeholders.

Training Methodology

The training course will employ a blended learning approach, combining classroom instruction, hands-on exercises, and case studies. Participants will have the opportunity to work with real-world maintenance data using industry-standard analytics tools. The training course will be interactive, encouraging active participation and discussion among attendees.

Organisational Impact

By implementing maintenance analytics, organizations can expect the following benefits:

• Increased equipment reliability and availability
• Reduced maintenance costs through optimized maintenance schedules
• Improved decision-making based on data-driven insights
• Enhanced asset lifecycle management
• Improved overall equipment effectiveness (OEE)
• Enhanced risk management through predictive failure analysis
• Increased operational efficiency and productivity

Personal Impact

Participants who complete this Maintenance Analytics training course will:

• Develop a strong foundation in maintenance analytics and data-driven decision-making.
• Gain practical skills in data collection, analysis, and interpretation.
• Improve their ability to identify maintenance improvement opportunities.
• Enhance their problem-solving and critical thinking skills.
• Increase their value to the organization by contributing to cost savings and efficiency improvements.