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Decision Analysis for Operation & Maintenance Professionals

Prioritisation and Multiple Criteria Decision Making

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Why Choose Us

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.

 

Why Choose Decision Analysis for Operation & Maintenance Professionals
Course Goals

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
Learning Approach

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

Introduction to Decision Making

  • 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

Implementing Multiple Criteria Decision Analysis using the Analytic Hierarchy Process (AHP)

  • Definition of Decision Analysis
  • How, and Why, Bad Decisions are Made
  • Guidelines for Good Decision Analysis
  • What is AHP?
  • Benefit/Cost Analysis
  • Resources Allocation

Risk Management through Failure Mode & Effect Analysis (FMEA)

  • Fault Tree Analysis
  • Risk Priority Number
  • The Criticality Matrix
  • Modelling Reliability of Systems
  • Series and Parallel Systems
  • The Redundancy Concept

MRP and ERP Systems

  • 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

Decision Analysis for Optimisation of Maintenance Activities

  • 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
Recognition

Certificate

  • Wallstreet Development Academy Certificate of Completion for delegates who attend and complete the training course.
Collaborations

In Partnership With