Maintenance Analytics

The Maintenance Analytics Training Course is designed to equip professionals with the essential tools and knowledge for applying analytical and operational research techniques to enhance decision-making in maintenance. This course emphasizes the critical application of decision analysis, particularly focusing on risk calculation, sensitivity analysis, and evaluating the value of information and decisions within the context of maintenance operations.

The course offers a comprehensive exploration of decision analysis techniques, making it highly relevant for professionals in operations, maintenance, and reliability. Through real-world examples and case studies, this course provides valuable insights into learning from both successes and failures. Participants will gain a deep understanding of prioritization methods, multi-criteria decision-making (MCDM), and operational research techniques that are critical to improving decision-making in maintenance-related activities.

Key highlights of the course include:

• Learning from major disasters and understanding the fundamentals of risk and resilience management.
• Ranking and prioritizing alternatives using structured decision analysis.
• Applying MCDM to practical, real-world problems.
• Gaining insights into various operational research methods used in maintenance.
• Enhancing decision-making with clearly defined goals and ranking criteria.

By the end of the Maintenance Analytics Training Course, participants will be able to:

• Improve productivity through the use of accurate and timely information.
• Understand the strategies employed by world-class organizations to tackle common asset management challenges.
• Optimize planning, scheduling, and failure analysis processes.
• Reduce the likelihood of unplanned equipment failures, thus optimizing asset management budgets.
• Develop a practical action plan for applying these technologies in their respective areas of responsibility.

This course is suitable for a variety of professionals in the maintenance, operations, and reliability fields, including:

• Maintenance and Reliability Managers
• Maintenance and Reliability Supervisors
• Planners and those designated to become planners
• Team leaders from each maintenance craft
• Operations Supervisors
• Materials Management Managers/Supervisors
• CMMS Administrators or key users
• Key Maintenance Support Assistants
• Stakeholders involved in the work planning function

The Maintenance Analytics Training Course will be delivered using proven adult learning methodologies to ensure maximum engagement, understanding, and retention. The course will be highly interactive, featuring hands-on exercises and discussions, as well as using user-friendly decision analysis software to enhance the learning experience. Participants will benefit from facilitated practice sessions, case study discussions, and a blend of theoretical and practical knowledge.

The course structure will include:

• Interactive presentations
• Group exercises and workshops
• Case studies to reinforce key learning points
• Focus on practical applications to drive decision-making improvements in real-life scenarios

• AZTech Certificate of Completion for delegates who attend and complete the training course