An Intensive Professional
Development Training Course on
Development Training Course on
Get your PDF guide and explore all course details.
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.
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:
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:
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:
Register now or contact our team to discuss schedules, delivery formats, and customised options.
Check out other training courses might interest you
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.
