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Maintenance Analytics

Developing decision analysis capabilities for more informed and structured maintenance decisions

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Why Choose This Course

The Maintenance Analytics training course equips professionals to use analytical and operational research techniques for better maintenance decision-making. It examines decision analysis, with particular attention to risk calculation, sensitivity analysis, and assessing the value of information and decisions. The course is directly relevant to professionals working in operations, maintenance, and reliability. Its practical approach supports informed decisions across maintenance-related activities.

Real-world examples and case studies provide insights drawn from both successful outcomes and failures. Participants explore structured methods for ranking and prioritising alternatives according to clearly defined goals and criteria. The course also covers multi-criteria decision-making (MCDM) and its application to practical problems. Further study addresses operational research methods, major disasters, and the fundamental principles of risk and resilience management.

This Maintenance Analytics training course will highlight:

  • Learning from major disasters and examining the fundamentals of risk and resilience management
  • Ranking and prioritising alternatives through structured decision analysis
  • Applying MCDM to practical, real-world problems
  • Exploring operational research methods used in maintenance
  • Improving decision-making through clearly defined goals and ranking criteria
Why Choose Maintenance Analytics
Course Goals

What are the Goals?

Upon completing the Maintenance Analytics Training Course, participants will be able to:

  • Enhance productivity by using precise, timely information.
  • Recognize the strategies world-class organizations use to address common asset management challenges.
  • Improve planning, scheduling, and failure analysis processes.
  • Minimize the risk of unplanned equipment failures, thereby optimizing asset management budgets.
  • Create a practical action plan to implement these technologies within their respective areas of responsibility.

Who is this Training Course for?

This Maintenance Analytics (MN8017) training course is designed for:

  • Maintenance Managers
  • Maintenance Engineers
  • Reliability Engineers
  • Asset Management Professionals
  • Maintenance Planners
  • Maintenance Schedulers
  • Condition Monitoring Engineers
  • Predictive Maintenance Specialists
  • Maintenance Data Analysts
  • Operations Managers
Learning Approach

How will this Training Course be Presented?

The Maintenance Analytics Training Course will be conducted through established adult learning methods to maximise participation, comprehension, and knowledge retention. It will be highly interactive, incorporating practical exercises and discussions alongside intuitive decision analysis software to support the learning process. Participants will take part in guided practice sessions, case study discussions, and a combination of theoretical and practical learning.

The course format will comprise:

  • Participative presentations
  • Group activities and workshops
  • Case studies that strengthen key learning points
  • Emphasis on practical applications to improve decision-making in real-world situations

The Course Summary & Outline

  1. Day 1
    Introduction to Decision Making & Risk Management
  2. Day 2
    Implementing Multiple Criteria Decision Analysis using the Analytic Hierarchy Process (AHP)
  3. Day 3
    Risk Management through Failure Mode & Effect Analysis (FMEA)
  4. Day 4
    MRP and ERP Systems
  5. Day 5
    Decision Analysis for Optimisation of Maintenance Activities
Recognition

Certificate

Delegates who successfully complete the Maintenance Analytics training course are awarded the Wallstreet Academy Certificate of Completion, recognising their achievement and commitment to professional development. Participants receive 25–30 credits, with the final allocation based on their verified attendance throughout the course.

Each Guided Learning Hour represents 60 minutes of attendance. Attendance is documented in line with the quality management principles of ISO 9001:2015, supporting accurate and consistent record-keeping.

Frequently Asked Questions

The Maintenance Analytics course focuses on decision analysis in maintenance. It examines maintenance through an analytical decision-making perspective. The course content is centred on using maintenance analytics to support maintenance-related decisions.

The Maintenance Analytics training course equips professionals to use analytical and operational research techniques for better maintenance decision-making. It examines decision analysis, with particular attention to risk calculation, sensitivity analysis, and assessing the value of information and decisions.

The course aims to build analytical thinking related to maintenance decision-making. It focuses on understanding maintenance issues through a decision analysis lens. No specific software, calculation methods or technical tools are identified in the available content.

Yes. The Maintenance Analytics training course begins with the principles of maintenance analytics, the role of data in maintenance decision-making and the distinction between reactive, preventive, predictive and reliability-centred approaches.

Key outcomes of this course include: enhance productivity by using precise, timely information; recognize the strategies world-class organizations use to address common asset management challenges; improve planning, scheduling, and failure analysis processes. The course is directly relevant to professionals working in operations, maintenance, and reliability.

The course is directly relevant to professionals working in operations, maintenance, and reliability. Its practical approach supports informed decisions across maintenance-related activities. Key topics include Decision Analysis for Optimisation of Maintenance Activities.

This course is designed for Maintenance Managers, Maintenance Engineers, Reliability Engineers, Asset Management Professionals, Maintenance Planners and Maintenance Schedulers. The course is directly relevant to professionals working in operations, maintenance, and reliability.

The Maintenance Analytics Training Course will be conducted through established adult learning methods to maximise participation, comprehension, and knowledge retention. Sessions include participative presentations, group activities and workshops, case studies that strengthen key learning points and emphasis on practical applications to improve decision-making in real-world situations.

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