Root Cause Analysis Master Practical D4 RCA TechniquesPublished 9/2026
Created by Learning Ville
MP4 |
Video: h264, 2560x1440 |
Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels |
Genre: eLearning |
Language: English |
Duration: 20 Lectures ( 2h 26m ) |
Size: 2.3 GB
⚡ • Define problem boundaries using Is / Is Not Analysis.
⚡ • Use stratification and Pareto to identify meaningful investigation priorities.
⚡ • Build Fishbone / Ishikawa hypotheses across the 6M categories.
⚡ • Use Cause & Effect reasoning to test hypotheses against expected evidence.
⚡ • Construct Fault Tree Analysis using top events, intermediate events, basic events and AND / OR logic.
⚡ • Use physical failure evidence, drawings, material results and dimensional evidence to test alternatives.
⚡ • Interpret process and equipment trends without confusing correlation with causation.
⚡ • Use Cause & Effect reasoning to state what evidence should exist if a hypothesis is true or false.
⚡ • Build a Causal Verification Matrix to prove, disprove or retain hypotheses.
⚡ • Use Hierarchical 5 Why for branched occurrence, escape and systemic pathways.
⚡ • Produce an evidence-based final D4 root-cause statement.
Requirements❗ • No previous 8D certification is required
❗ • A basic understanding of manufacturing or quality terminology is helpful but not essential.
❗ • Microsoft Excel or compatible spreadsheet software is recommended if learners want to work through the supplied templates.
❗ • Learners should be willing to challenge assumptions and use evidence rather than jump directly to a preferred root cause
❗ • Experience with manufacturing, engineering, supplier quality, CAPA or continuous improvement will help learners relate the case study to their own work, but the methodology is explained from first principles
DescriptionRoot Cause Analysis is often reduced to a Fishbone diagram and a few 5 Whys. In real manufacturing investigations, that is rarely enough.
This practical course focuses specifically on D4 - Root Cause Analysis and uses one realistic manufacturing case throughout: an ADC12 aluminium high-pressure die-cast housing that fails a customer pressure-decay leak test.
Rather than teaching isolated textbook examples, we progressively investigate the same problem using different RCA techniques. You will see why each tool is introduced, what question it is intended to answer, what it can and cannot prove, and how its output feeds the next stage of the investigation.
You will begin with Is / Is Not Analysis to establish the problem boundaries and identify useful distinctions. You will then use stratification and Pareto analysis to identify meaningful patterns without confusing concentration with causation.
Next, Fishbone / Ishikawa analysis is used to generate plausible hypotheses across People, Machine, Method, Material, Measurement and Environment. Cause & Effect analysis then forces those hypotheses to be tested against the effects and evidence that should exist if they were true.
Fault Tree Analysis takes the investigation further by structuring the failure using AND / OR logic and separating occurrence and escape pathways. Physical failure evidence, material checks, dimensional evidence, process trends, vacuum-performance data and maintenance evidence are then used to eliminate weak explanations and strengthen the remaining causal pathways.
The course culminates in a Causal Verification Matrix, Hierarchical 5 Why and conventional 5 Why analysis. These tools distinguish occurrence, escape/detection and systemic causes and produce a final evidence-based D4 conclusion.
The ADC12 case is deliberately progressive. Learners are encouraged to pause, form hypotheses and decide what evidence they would seek before the next evidence set is revealed. The aim is to develop an investigation mindset, not simply template-filling ability.
By the end, learners should understand both how the individual RCA tools work and how they fit together into a disciplined D4 investigation.
What Students Will Learn· Define problem boundaries using Is / Is Not Analysis.
· Use stratification and Pareto to identify meaningful investigation priorities.
· Build Fishbone / Ishikawa hypotheses across the 6M categories.
· Use Cause & Effect reasoning to test hypotheses against expected evidence.
· Construct Fault Tree Analysis using top events, intermediate events, basic events and AND / OR logic.
· Use physical failure evidence, drawings, material results and dimensional evidence to test alternatives.
· Interpret process and equipment trends without confusing correlation with causation.
· Build a Causal Verification Matrix to prove, disprove or retain hypotheses.
· Use Hierarchical 5 Why for branched occurrence, escape and systemic pathways.
· Use conventional 5 Why without forcing exactly five answers.
· Distinguish failure mechanism, occurrence cause, escape cause and systemic cause.
· Produce an evidence-based final D4 root-cause statement.
Requirements / Prerequisites· No previous formal 8D certification required.
· Basic manufacturing, engineering or quality terminology is helpful.
· Some problem-solving, non-conformance, CAPA or customer-complaint experience is useful but not essential.
· Microsoft Excel or compatible spreadsheet software is recommended for the downloadable workbook.
· Learners should be willing to challenge assumptions and distinguish hypotheses from verified causes.
Who this course is for⭐ • Quality Engineers and Senior Quality Engineers
⭐ • Supplier Quality Engineers and Supplier Development Engineers
⭐ • Quality Managers and Quality Leaders
⭐ • Manufacturing and Process Engineers
⭐ • Production and Operations professionals
⭐ • Continuous Improvement and Lean Six Sigma practitioners
⭐ • CAPA and non-conformance investigators
⭐ • Automotive, aerospace, energy, casting, machining and general manufacturing professionals
⭐ • Engineering graduates who want practical quality problem-solving skills
⭐ • Anyone responsible for customer complaints, supplier corrective actions or 8D reports
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