8D D0 Prepare · D1 Team · D2 Problem · D3 Containment · D4 Root Cause · D5 Corrective · D6 Implementation · D7 Prevent · D8 Recognize
Structured Eight-Disciplines problem-solving cycle for reactive defect resolution in manufacturing and supply chain — from immediate containment to durable prevention.
Data & Tools
Data preparation, visualisation and generation tools — usable across every phase.
Data Collection
Spreadsheet for data entry and management
XY Plot
Create scatter plots from worksheet columns
Pie Chart
Pie/donut chart from worksheet columns or manual data
Bar Chart
Bar chart from worksheet columns: frequency, mean, or sum per category
Pareto Chart
Bar chart sorted by descending value with a cumulative-percentage line — the classic "vital few" tool.
Mosaic Plot
Visualises the joint distribution of two categorical variables — column widths show the marginal frequency, segment heights show the conditional shares.
Heatmap
Cross-tabulation as a color-coded grid — cell color shows frequency, mean, or sum per (X, G) combination.
Contour Plot
Visualize response surfaces z = f(x, y) as contour diagrams
Histogram
Frequency distribution with boxplot and statistics
Boxplot
Horizontal boxplots for comparing distributions
Individual Value Plot
Plot every individual observation per group as a point
Run Chart
Median run chart with four runs tests
Probability Plot
Normal probability plot for checking normality, with optional grouping
Chart Suggestion
Proposes suitable chart types for the selected columns
Data Import
Read data from third-party formats (Minitab .mpx, CSV/TSV/TXT, Excel/ODS, JSON/NDJSON, Q-DAS AQDEF) into a worksheet
REST API
Centrally manage and test REST API endpoints
Random Generator
Generate reproducible samples from statistical distributions
Model Data Generator
Generate synthetic datasets from configurable regression models
Calculator
Scientific calculator with statistics and 6σ mode
Unit Converter
Precise unit conversion (18 categories + timezones)
Data Transformation
Transform data (Box-Cox, Johnson, Log, …) for normality
D1 — Build the Team
D1 of the 8D cycle — assemble champion, team lead, core team and extended team; clarify roles and authority.
D2 — Describe the Problem
D2 of the 8D cycle — describe the problem precisely (Is/Is-Not, 5W2H) and capture process and measurement context.
Project Charter
Project mandate: problem statement and measurable goals
VoC → CTx Tree
Translate Voice of Customer into measurable CTx requirements
SIPOC
Supplier-Input-Process-Output-Customer diagram
Process Map
Visual process flow with inputs and outputs per step
MSA Type 1
Measurement System Analysis Type 1 — Repeatability (Cg) and Bias (Cgk)
MSA Type 2
Measurement System Analysis Type 2 — Gage R&R (Repeatability & Reproducibility)
Process Capability
Process Capability Analysis — Cp, Cpk, Pp, Ppk, PPM, Sigma Level
D4 — Root Cause Analysis
D4 of the 8D cycle — prove occurrence, escape and systemic causes statistically or physically.
5-Why Analysis
Root cause analysis with branching question paths
C&E Matrix
Cause and Effect Matrix
Ishikawa 6M
Root cause analysis with 6M categories and expert scoring
Makigami Matrix
Swim-lane process analysis with processing/waiting times and waste classification
Correlation Analysis
Pearson, Spearman, and Kendall correlation between variables
Distribution Fit
Fit data to multiple distributions and rank by Goodness-of-Fit test
Hypothesis Test
Variance and mean tests with automatic normality assessment and power analysis
Sample Size
Calculate the required sample size for variance and mean tests
Pairwise Comparison
Prioritize criteria through systematic pairwise comparison. Every criterion is judged against every other.
Outlier Test
Run classical outlier tests (Grubbs, Dixon Q, Generalized ESD, Tukey IQR, Hampel, Z-Score) in parallel on a column
D5 — Corrective Actions
D5 of the 8D cycle — plan permanent corrective actions, evaluate alternatives, verify effectiveness.
DoE Advisor
Overview of DoE designs and a guided wizard for design selection
DoE Planner
Design of Experiments: Full Factorial, Fractional, Plackett-Burman, CCD, Box-Behnken, Taguchi
Regression Analysis
Polynomial regression (degree 1–3, interactions), Exponential, Logarithmic, Power
Regression (Attributive)
Binary logistic, Poisson, and negative binomial regression for attributive/count data
Response Optimization
Combines several saved regression models and searches for the factor point with the highest joint desirability (Derringer-Suich, multi-start Nelder-Mead).
Contradiction Matrix (TRIZ)
Inventive principles for technical contradictions (Altschuller)
9 Windows (TRIZ System Operator)
Examine the system on time × hierarchy axes
Physical Contradiction (TRIZ)
One parameter must be A and ¬A — resolution via four separation principles
Ideal Final Result (TRIZ)
State the ideal and work backwards to a solution
Resources Checklist (TRIZ)
Systematic inventory of substances, fields, space, time, information and functions
Trends of Technical Evolution (TRIZ)
Eight classical evolution trajectories — locate the system and identify the next stage jump
Substance-Field Analysis (TRIZ)
Model the interaction as an S1-S2-field triangle and apply Altshuller's 76 standard solutions
D6 — Implementation
D6 of the 8D cycle — roll out corrective actions across the full scope, validate effect in live operation, retire containment.
Control Chart
SPC control charts for process stability
Control Chart (Attribute)
SPC charts for count data: p, np, c, u
Control Chart (Time-Weighted)
EWMA and CUSUM for small persistent shifts
Control Chart (Rare Events)
g and t charts for rare events
Multivariate Control Chart (Hotelling T²)
Hotelling T² for correlated characteristics
Control Chart (Short-Run Z-MR)
Standardised I-MR across parts with different targets
Control Chart (Box-Cox transformed)
I-MR with Box-Cox transform for non-normal data
D7 — Prevent Recurrence
D7 of the 8D cycle — update standards, specifications, FMEAs and training plans so the problem cannot recur anywhere.
D8 — Recognize the Team
D8 of the 8D cycle — make the success visible, discharge the team, document and communicate the lessons learned.