Why Choose Decision Analysis for Operation & Maintenance Professionals Training Course?

The Decision Analysis Course for Operation & Maintenance Professionals gives operations and maintenance practitioners a structured, evidence-based framework for making better decisions across the full maintenance lifecycle.

Poor decisions in maintenance and operations carry real consequences — unplanned downtime, misallocated resources, increased risk, and rising costs. This course addresses that directly by equipping delegates with proven decision analysis tools including the Analytic Hierarchy Process (AHP), Failure Mode & Effect Analysis (FMEA), Fault Tree Analysis, Weibull analysis, and CMMS optimisation techniques.

Across five focused days, participants move from decision-making fundamentals through to risk management, ERP and MRP systems, and data-driven maintenance optimisation. Each module builds practical capability that delegates can apply immediately in their organisations.

This is a course built for professionals who want to move beyond instinct and apply structured, repeatable decision-making processes to their operations and maintenance challenges.

 

What are the Goals?

The Decision Analysis Course for Operation & Maintenance Professionals is designed to develop structured, data-driven decision-making capability across operations and maintenance functions.

By the end of this course, participants will be able to:

  • Understand the scope, significance, and process of effective decision making in operations and maintenance
  • Apply reliability and Weibull analysis to support maintenance decision making
  • Implement Multiple Criteria Decision Analysis using the Analytic Hierarchy Process (AHP)
  • Conduct Benefit/Cost Analysis and apply resource allocation principles to maintenance decisions
  • Use Failure Mode & Effect Analysis (FMEA) and Fault Tree Analysis for structured risk management
  • Calculate Risk Priority Numbers and apply the Criticality Matrix to prioritise maintenance activities
  • Model system reliability using series, parallel, and redundancy concepts
  • Understand ERP and MRP systems including Bill of Materials and Master Production Schedules
  • Optimise maintenance policies using CMMS data and next-generation maintenance system features
  • Transform operational data into actionable maintenance decisions using proven analytical approaches

Who is this Training Course for?

The Decision Analysis Course for Operation & Maintenance Professionals is ideal for professionals responsible for maintenance planning, operations management, and reliability — who need structured tools to improve the quality of their decisions.

This course is suitable for:

  • Operations managers and supervisors seeking structured decision-making frameworks
  • Maintenance managers and engineers responsible for maintenance policy and planning
  • Reliability engineers applying analytical tools to equipment and system performance
  • Planning and scheduling professionals working with CMMS, ERP, or MRP systems
  • Technical professionals involved in risk assessment and failure analysis
  • Asset managers responsible for optimising maintenance spend and resource allocation
  • Engineers and professionals transitioning into operations or maintenance leadership roles
  • Graduate engineers building a practical foundation in maintenance decision analysis

How will this Training Course be Presented?

The Decision Analysis Course for Operation & Maintenance Professionals is delivered through a progressive, application-focused learning structure. Each day addresses a distinct decision analysis domain — from foundational concepts through to advanced CMMS optimisation and data-to-decision frameworks.

Real-world case studies and group exercises are integrated throughout, ensuring delegates can connect analytical tools directly to the challenges they face in their own operations.

Delivery methods include:

  • Instructor-led sessions covering decision analysis frameworks, reliability concepts, and risk management tools
  • Case studies and group exercises applied from Day 1 to reinforce learning through real operational scenarios
  • AHP implementation workshops walking delegates through multiple criteria decision analysis step by step
  • FMEA and Fault Tree Analysis exercises developing hands-on risk identification and prioritisation skills
  • Reliability modelling sessions covering series, parallel, and redundancy system configurations
  • ERP and MRP practical examples demonstrating how planning systems support maintenance decisions
  • CMMS optimisation workshops focused on extracting maximum decision value from existing maintenance data
  • Data-to-decision exercises helping delegates translate operational data into structured maintenance policies

The Course Content

  • Scope and significance of decisions
  • The Decision making process
  • The concept of best practice through learning from worst practice
  • Introduction to reliability and Weibull analysis
  • Case Studies and Group Exercises
  • Definition of Decision Analysis
  • How, and Why, Bad Decisions are Made
  • Guidelines for Good Decision Analysis
  • What is AHP?
  • Benefit/Cost Analysis
  • Resources Allocation
  • Fault Tree Analysis
  • Risk Priority Number
  • The Criticality Matrix
  • Modelling Reliability of Systems
  • Series and Parallel Systems
  • The Redundancy Concept
  • What is ERP and how did it develop
  • What is MRP System
  • The Bill of Materials
  • Master Production Schedule
  • Practical Examples
  • Case Studies and Group Exercises
  • How to get the most of your CMMS?
  • Benefits that can result from CMMS
  • Optimum Decisions for Maintenance Policies
  • Key Features of Next Generation Maintenance Systems
  • How to transform Data to Decisions
  • Examples of Approaches and Case Studies

Certificate

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

In Partnership With

Anderson Copex Coventry

Do you want to learn more about this course?

Register now or contact our team to discuss schedules, delivery formats, and customised options.

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Frequently Asked Questions

Common questions about our training courses

This course is most valuable for operations managers, maintenance engineers, reliability professionals, and planning personnel who need to make better-informed decisions using structured analytical tools. It is equally suitable for experienced professionals looking to formalise their approach and for those newer to maintenance decision making who want to build a strong practical foundation.  

Delegates learn a structured decision-making process supported by proven tools — moving away from decisions based purely on experience or instinct. By the end of the course, participants will be able to apply multiple criteria analysis, risk prioritisation, and CMMS data interpretation to make maintenance decisions that are defensible, consistent, and optimised.  

The final day focuses specifically on CMMS optimisation — covering how to extract meaningful maintenance insights from existing data, how to use CMMS outputs to support better maintenance policy decisions, and what features to look for in next-generation maintenance management systems. Delegates leave with a practical framework for transforming data into decisions.  

Weibull analysis allows professionals to model equipment failure patterns and predict remaining useful life — directly supporting decisions about maintenance intervals, spare parts planning, and replacement timing. Delegates who complete this course will understand how to interpret Weibull outputs and apply them to improve maintenance planning accuracy.  

No specialist analytical background is required. The course is designed to introduce and build each analytical tool from the ground up — including AHP, FMEA, Weibull analysis, and Fault Tree Analysis. Delegates with varying levels of technical experience consistently find the content accessible and immediately applicable.  

The course dedicates a full day to risk management — covering FMEA, Fault Tree Analysis, Risk Priority Numbers, and the Criticality Matrix. Delegates develop the ability to systematically identify failure modes, assess their impact and likelihood, and prioritise corrective actions based on structured risk analysis rather than guesswork.  

Yes. Day 4 covers ERP and MRP systems in the context of maintenance and operations — including the Bill of Materials, Master Production Schedule, and how these systems support maintenance planning and resource management. Practical examples and case studies are used to make these concepts directly relevant to delegates' roles.  

Delegates will return to their organisations with a structured toolkit for decision making — covering risk analysis, reliability modelling, multiple criteria evaluation, and data-driven maintenance optimisation. The shift from experience-based to evidence-based decision making is the core outcome, and one that delivers measurable improvements in maintenance performance and resource efficiency.  

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