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Decision Analysis for Operation & Maintenance Professionals

Decision Analysis for Operation & Maintenance Professionals Training Course provides a structured approach to improving…

Code BII-MNT007 5-Day Dubai, London, Nairobi, Online Online + Classroom
Overview

Course Description

Decision Analysis for Operation & Maintenance Professionals Training Course provides a structured approach to improving decision-making in operations, maintenance, and reliability environments. This Decision Analysis Training Course focuses on prioritisation techniques and Multiple Criteria Decision Making (MCDM) to help professionals evaluate complex scenarios and allocate resources effectively.

Participants will explore how decisions impact productivity, asset performance, and operational efficiency. The course examines real-world examples and case studies, highlighting both successful strategies and common failures in maintenance and operational decision-making.

By applying formal decision analysis methods, professionals will learn to break down problems, assess alternatives, and prioritise actions based on benefits, costs, risks, and resource requirements. This training course equips participants with practical tools to enhance judgement, optimise maintenance strategies, and support data-driven decision-making in modern operational environments.

Objectives

What you will achieve

Decision Analysis Training Course objectives focus on enhancing prioritisation, analytical thinking, and decision-making effectiveness in operations and maintenance functions. Participants will gain practical skills to evaluate alternatives and improve organisational outcomes.

By the end of this training course, participants will be able to apply structured decision-making techniques and optimise operational and maintenance strategies using Multiple Criteria Decision Making approaches.

  • Improve productivity through better and timely decision-making information
  • Understand how leading organisations address asset management challenges
  • Apply prioritisation techniques for maintenance and operational decisions
  • Optimise planning, scheduling, and failure analysis processes
  • Allocate resources effectively based on risk, cost, and performance impact
  • Reduce unplanned equipment failures through informed decision-making
  • Develop actionable plans to implement decision analysis techniques in the workplace
Training methodology

How the course is delivered

Decision Analysis Training Course learning methods combine practical exercises with proven instructional techniques to ensure strong understanding and application. The course adopts an interactive approach, encouraging participation and hands-on experience.

Participants will engage with user-friendly decision analysis tools and software to apply concepts such as Multiple Criteria Decision Making (MCDM), Analytic Hierarchy Process (AHP), and risk assessment techniques. Real-life case studies and group exercises help reinforce learning by demonstrating both effective and ineffective decision-making practices.

Workshops and facilitated discussions provide opportunities to practice prioritisation, evaluate alternatives, and develop structured solutions. The training course also integrates presentations with practical sessions, ensuring participants can translate theoretical knowledge into actionable strategies for operations and maintenance environments.

Who should attend

Designed for

Decision Analysis for Operation & Maintenance Professionals Training Course is designed for technical professionals responsible for making critical operational and maintenance decisions. It supports individuals seeking to enhance analytical capabilities and improve performance outcomes.

This training course is ideal for professionals aiming to strengthen their understanding of prioritisation methods and decision analysis tools within operational environments.

  • Operations professionals involved in daily production and process decisions
  • Maintenance professionals responsible for equipment reliability and performance
  • Reliability professionals focused on asset lifecycle and risk management
  • Operations supervisors managing teams and resource allocation
  • Internal improvement consultants supporting performance optimisation initiatives
Course outline

Daily programme

DAY 01Introduction 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
DAY 02Implementing 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
DAY 03Risk 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
DAY 04MRP 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
DAY 05Decision 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
Certificate

Certification & accreditation

BII Certificate of Completion

BII Certificate of Completion Upon successful completion, participants receive a BII Development Institute Certificate of Completion with a unique reference code that is independently verifiable. Our certificates are recognised internationally and reflect successful completion of your chosen programme.

Schedule

Upcoming sessions

DatesVenueFormatFee
21 - 25 Dec 2026 London Classroom US$ 5950 Register
28 Dec 2026 - 01 Jan 2027 Online Online US$ 5950 Register
09 - 13 Aug 2027 Nairobi Classroom US$ 5950 Register
27 Sep - 01 Oct 2027 Dubai Classroom US$ 5950 Register
Enrolment

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