Module 1 — Introduction to Engineering Failure Investigation
4 Items
This module introduces the principles of engineering failure investigation and Root Cause Analysis (RCA). You will learn how to distinguish observed failures from assumed causes, recognise the importance of evidence, and understand the investigation process used throughout this course.
Module 2A — Root Cause Analysis Tools and Techniques
6 Items
This module introduces practical Root Cause Analysis (RCA) methods used in engineering investigations, including 5 Whys, Fishbone diagrams, causal mapping and barrier analysis. Learners will examine the strengths and limitations of each technique and practise selecting appropriate methods for investigating engineering failures. Particular emphasis is placed on avoiding unsupported assumptions, recognising multiple causal pathways and linking analysis to reliable evidence.
Module 2B: Guided Worked Example: Root Cause Analysis in Everyday Life
1 Item
Before beginning the industrial case studies, watch this complete worked example to see how an investigation progresses from an initial problem to evidence-based causes, corrective actions and effectiveness verification.
Module 3 — The Reject Spike: An Interactive Engineering Investigation
2 Items
In this module, you will investigate a fictional production-quality problem involving a sudden increase in rejected products. Acting as an engineering investigation team, you will examine initial operating data, develop competing hypotheses and receive additional evidence in stages. You will use Root Cause Analysis methods to revise your conclusions, distinguish genuine product defects from possible measurement problems and propose evidence-supported corrective actions. The exercise emphasises critical thinking, uncertainty and the importance of investigating before assigning blame.
Module 4 — Case Study 1: Packaging-Line Failure Investigation
7 Items
Investigate recurring stoppages in an automated packaging line through a staged engineering case study. Analyse production capacity, motor overload trips, sensor and control-system evidence, and organisational contributors. Develop and justify corrective actions under budget constraints, assess production targets, and verify engineering recommendations.