Introduction to the Series
Introduction to the Series
The Seven QC Tools — check sheets, stratification, Pareto charts, cause-and-effect diagrams (fishbone diagrams), scatter diagrams, histograms, and control charts — are the most fundamental and powerful "seven weapons" in quality management.
Many QC personnel use these tools, but not everyone truly "understands" them; many quality engineers know what they are, but do not "master" their application. The purpose of this series is to dissect each tool: what it does, when to use it, how to use it correctly, common pitfalls in practical application, and how to move from "using" to "mastering" it.
This issue starts with the fishbone diagram. It is the most widely used tool among the Seven QC Tools, but it is also the one most easily "wasted."
Chapter 1: The Essence of the Fishbone Diagram
1.1 What is a Fishbone Diagram
The fishbone diagram, also known as the cause-and-effect diagram, was first introduced in 1943 by Japanese quality management master Kaoru Ishikawa, hence it is often referred to as the Ishikawa Diagram.
Standard Definition: The fishbone diagram is a visual tool that uses systematic cause-and-effect chain analysis to categorically and hierarchically unfold the potential causes of a problem. Its core logic is: any result (problem/effect) has multiple causes, and these causes have hierarchical and categorical relationships.
1.2 The Essence of the Fishbone Diagram is Not "Drawing," but "Thinking Framework"
Many beginners treat the fishbone diagram as "drawing a fish on the wall in a meeting room" — this misses its value entirely.
The essence of the fishbone diagram:
A structured, systematic, and visual framework for cause analysis.
→ Structured: not random writing, but categorized according to 5M1E
→ Systematic: covers all possible dimensions of causes, avoiding omissions
→ Visual: a single diagram to see all potential causes and their relationships
1.3 Three Major Functions of the Fishbone Diagram
| Function | Description | Applicable Scenario |
|---|---|---|
| Identify Root Causes | Systematically lists all possible causes to find the true root cause | 8D-D4, CAPA analysis, quality incident investigations |
| Prevent Problems | Identifies potential issues in advance for risk prediction | FMEA brainstorming, new production line/product introduction |
| Promote Collaboration | Facilitates cross-departmental team communication, breaking down information silos | Quality meetings, improvement project kick-offs |
Chapter 2: Structure and Elements of the Fishbone Diagram
2.1 Standard Structure Diagram
Cause Category 1 Cause Category 2
│ │
┌───────────────┼───────────────────────┤
│ │ │
▼ ▼ ▼
┌────────┐ ┌───────────┐ ┌───────────┐
│ Sub-Cause│ │ Sub-Cause│ │ Sub-Cause│
│ ├Main Cause│ │ ├Main Cause│ │ ├Main Cause│
│ │ ├Major Cause│ │ │ ├Major Cause│ │ │ ├Major Cause│
└────────┘ └───────────┘ └───────────┘
│ │ │
└───────────────┼───────────────────────┘
│
▼
┌──────────────────┐
│ Problem/Effect │
│ (Fish Head - Right Side)│
└──────────────────┘
┌───────────────┼───────────────────────┐
│ │ │
▼ ▼ ▼
┌────────┐ ┌───────────┐ ┌───────────┐
│ Cause │ │ Cause │ │ Cause │
│ Category 3 │ │ Category 4 │ │ Category 5 │
└────────┘ └───────────┘ └───────────┘
2.2 Core Elements Comparison
| Element | Name | Description | Position |
|---|---|---|---|
| Fish Head | Problem/Effect | The core issue to be analyzed, the more specific, the better | Rightmost |
| Fish Spine (Main Line) | Main Line | A horizontal thick line pointing to the fish head | Central |
| Major Bones | Cause Category (Major Category) | Categorized according to 5M1E or other frameworks | Diagonally up/down from the main line |
| Medium Bones | Main Cause | The main causes under each major category | Extending from the major bones |
| Minor Bones | Sub-Cause | Specific causes under the main causes | Extending from the medium bones |
| Fine Bones | Further Detailed Causes | The deepest level of analysis | At the end of the minor bones |
2.3 Types of Fishbone Diagrams (By Direction)
| Type | Structure | Applicable Scenario |
|---|---|---|
| Cause-Type Fishbone Diagram | Fish head to the right (Cause → Problem) | Most commonly used — for analyzing root causes |
| Countermeasure-Type Fishbone Diagram | Fish head to the left (Measure → Goal) | For planning improvement actions |
| Checklist-Type Fishbone Diagram | Fish head to the right, checklist style | Process review, risk identification |
Chapter 3: 5M1E —— The "Skeleton" of the Fishbone Diagram
3.1 The Full Meaning of 5M1E
5M1E = Man (Personnel) + Machine (Equipment) + Material (Materials) + Method (Process) + Measurement (Measurement) + Environment (Environment)
This is the "standard classification framework" for fishbone diagram analysis in manufacturing.
Below are typical cause paths for each dimension:
M1 —— Man (Personnel)
| Secondary Cause | Tertiary Cause (Examples) |
|---|---|
| Insufficient Skills | Inadequate training, many new employees, lack of certification for critical processes |
| Non-standard Operations | Unfamiliar with SOPs, taking shortcuts, failing to self-inspect at the required frequency |
| Lack of Concentration | Fatigue, monotonous work, reduced efficiency during night shifts |
| Weak Quality Awareness | Unclear about quality standards, not understanding the consequences of nonconformities |
| Communication Issues | Information omissions during shift changes, failure to escalate anomalies |
| Personnel Turnover | Loss of skilled workers, temporary replacements, apprentices rushed into positions |
Deep Insight: "Personnel" issues are often attributed to "bad attitude" or "lack of responsibility" — this is a major pitfall in analysis. Excellent quality professionals will continue to ask: Why is the attitude bad? Is it due to inadequate training? Insufficient incentives? Or is it because the process design itself makes it easy for people to make mistakes (the necessity of poka-yoke)?
M2 —— Machine (Equipment)
| Secondary Cause | Tertiary Cause (Examples) |
|---|---|
| Insufficient Equipment Precision | Aging, wear, lack of timely calibration |
| Parameter Abnormalities | Incorrect parameter settings, drift, temperature/pressure/speed deviations |
| Tooling/Mold Issues | Mold wear, misalignment, unstable clamping force |
| Improper Maintenance | Lack of preventive maintenance, delayed fault repairs |
| Low Automation | Reliance on manual judgment, lack of error-proofing devices |
| Vibration/Noise | Bearing wear, dynamic imbalance, loose installation |
M3 —— Material (Materials)
| Secondary Cause | Tertiary Cause (Examples) |
|---|---|
| Poor Incoming Quality | Supplier quality issues, large batch-to-batch variations |
| Material Changes | Unannounced specification changes, unverified substitute materials |
| Improper Storage | Moisture, oxidation, expiration, temperature and humidity deviations |
| Label Confusion | Different batches/specifications mixed, labels falling off |
| Poor Packaging | Damage during transportation, unverified changes in packaging methods |
M4 —— Method (Process)
| Secondary Cause | Tertiary Cause (Examples) |
|---|---|
| Unreasonable Process Parameters | Narrow parameter window, unverified |
| Incomplete SOPs | Key parameters not specified, missing operation steps, unclear diagrams |
| Unclear Inspection Standards | Lack of boundary samples, subjective judgment criteria, unreasonable sampling plans |
| Process Design Flaws | Lack of error-proofing design, missing critical control points, process breakpoints |
| Unapproved Process Changes | Unapproved changes in operation methods, hidden changes |
| Ineffective Training Methods | Disconnection between training and actual operations, lack of certification exams |
M5 —— Measurement (Measurement)
| Secondary Cause | Tertiary Cause (Examples) |
|---|---|
| Insufficient Gauge Precision | Insufficient resolution, lack of timely calibration, mismatched range |
| Inappropriate Measurement Methods | Inconsistent measurement locations, non-uniform measurement techniques, incorrect reference surfaces |
| Standard Piece Failure | Worn standard blocks, discolored sign samples, lost boundary samples |
| Insufficient Inspection Frequency | Too small sample size, too long inspection intervals |
| Reading/Recording Errors | Human reading errors, non-standard recording, incorrect data units |
| Poor MSA | High GR&R, significant bias, non-conforming linearity |
Deep Insight: Issues with the measurement system itself are often overlooked — many people assume the measurement results are correct. Excellent QEs always ask: Is this data reliable? Is there a problem with the measurement system?
M6 —— Environment (Environment)
| Secondary Cause | Tertiary Cause (Examples) |
|---|---|
| Temperature and Humidity | Loss of temperature and humidity control, diurnal temperature differences, seasonal changes |
| Cleanliness | Dust particles, oil stains, static electricity |
| Lighting | Insufficient illumination affecting visual inspections, color temperature deviations affecting color judgments |
| Noise/Vibration | Ground vibrations from external equipment affecting precision machining |
| Space Layout | Unreasonable material flow routes, cramped workspaces |
3.2 5M1E Extensions in Different Industries
| Industry | Additional Dimensions to 5M1E | Description |
|---|---|---|
| Service Industry | 4M+1C (Customer) | One of the core influencing factors in the service industry is customer participation |
| Software Industry | Add 2M (Information Management + Metrics) | Categories for software quality reasons should be expanded to: requirements, design, coding, testing, deployment, operations |
| Medical Industry | Add 1P (Patient) | Patient compliance and physical differences are important dimensions |
| Food Industry | Add 1C (Cold Chain) | Cold chain logistics are key control points for food quality |
Chapter 4: The Fishbone Diagram Operation Process (Standard 7-Step Method)
Step 1 —— Define the Problem (Fish Head)
Key: The more specific the problem definition, the more effective the analysis.
× Incorrect Example: "Poor product quality"
→ Too vague, difficult to focus the analysis direction
✓ Correct Example: "The welding strength of product B on line A has decreased by 30% over the past two weeks, from industry standards"
→ Specific to: what product, what process, what metric, what time, what deviation
Problem Definition Checklist:
- Is the problem measurable? (Specific data/metrics)
- Is the problem time and location specific? (What product, what time, what line)
- Are known factors excluded? (Are certain conditions known to be unchanged?)
- Is the problem a single focus? (Analyze one problem at a time)
Step 2 —— Build the Framework (Draw the Main Line and Major Bones)
Draw the basic structure of the fishbone diagram on paper or a whiteboard:
- Draw a horizontal thick line (main line)
- Draw a box on the right side (fish head) and write the problem description
- Draw 5-8 diagonal arrows (major bones) and label them with cause categories (5M1E)
Step 3 —— Brainstorm (Team Collaboration)
Invite a cross-functional team to participate — the greatest value of the fishbone diagram lies in the collision of multiple perspectives.
Suggested Participants:
└── QC (Most familiar with on-site details)
└── QE (Most familiar with quality data and system issues)
└── Production Operators/Team Leaders (Most familiar with actual operations)
└── Process Engineers (Most familiar with process parameters)
└── Equipment Maintenance Personnel (Most familiar with equipment status)
Brainstorming Rules:
- Do not criticize or judge any opinions (no matter how "absurd")
- Encourage quantity, more ideas can lead to better solutions
- Encourage "piggybacking" — building on others' ideas
- Describe each cause in neutral language (do not assume conclusions)
- Record every idea — do not filter
Step 4 —— Layered Expansion (Small Bones → Fine Bones)
Key Principle: Ask at least three layers of questions.
Example (Increase in defect rate → Welding defects):
First Layer (Major Bone → Medium Bone):
M (Method): Unreasonable welding parameters
Second Layer (Medium Bone → Small Bone):
Unreasonable welding parameters → Deviation in welding current settings
Third Layer (Small Bone → Fine Bone):
Deviation in welding current settings → Parameters not adjusted according to standards after shift changes
Deviation in welding current settings → Failure of the equipment's parameter memory function
Fourth Layer (Fine Bone → Further Detailed):
Failure of the parameter memory function → Preventive maintenance did not cover this function module
Failure of the parameter memory function → Parameters not verified after repairs
In this example, the initial symptom is "welding defects,"
the surface cause is "parameter deviation,"
and the deep cause is "incomplete maintenance system."
An excellent fishbone diagram finds the true root cause at the 3rd-4th layer. If the analysis stops at the 1st-2nd layer, it only provides a superficial analysis of "surface causes."
Step 5 —— Identify Key Influencing Factors
There are many causes listed on the fishbone diagram (usually 30-50), but not all need to be addressed.
Screening Methods:
Method 1: Voting (Team Consensus)
Each person selects the top 5 most important causes from all listed
Rank by the number of votes, select the top 5-8
Applicable: When the team is experienced
Method 2: Data Verification
Use existing inspection data to verify the "relevance" of each cause
For example: If the cause is "equipment A," compare defect rates when equipment A is running and not running
Applicable: When data is available
Method 3: Pareto Chart Screening
Convert the causes identified in the fishbone diagram into data collection
Use a Pareto chart to analyze the data
→ Identify the "vital few" causes
Applicable: When strict quantification is required
Method 4: Control Experiment
Conduct a small-scale intervention experiment on suspected root causes
If the problem disappears after the intervention, the root cause is found
Applicable: In controllable scenarios
Step 6 —— Verify Root Causes
Important Understanding: The causes identified in the fishbone diagram are just "hypotheses," not "conclusions."
Fishbone Diagram → Hypothesis Generation
Data Verification → Hypothesis Verification
A fishbone diagram without data verification is just a "pretty picture."
Three Levels of Root Cause Verification:
| Level | Method | Credibility |
|---|---|---|
| Basic | Team Consensus (Everyone thinks it is the cause) | ★★ |
| Intermediate | Historical Data Review (Data supports the hypothesis) | ★★★★ |
| Advanced | Control Experiment/DOE Verification (Problem disappears after intervention) | ★★★★★ |
Step 7 —— Develop Improvement Actions
Based on the verified root causes, develop specific improvement actions:
Root Cause: Failure of the equipment's parameter memory function (Preventive maintenance not covered)
Actions:
Short-term: Immediately repair the parameter memory module, verify parameters after line stop for maintenance
Medium-term: Include the parameter memory function in the preventive maintenance checklist
Long-term: Increase reliability requirements for the parameter memory function in equipment procurement
Chapter 5: Common Pitfalls and Avoidance in Fishbone Diagrams
Pitfall 1: Listing Causes Without Categorization
× Incorrect Approach:
List all thought-of causes directly on the fishbone diagram without categorization
→ Result: A bunch of arrows pointing to the fishbone, chaotic and unorganized
✓ Correct Approach:
Categorize using 5M1E before filling in
→ "Categorization itself is analysis" — ask for each category, "Are there any causes in this category?"
Pitfall 2: Writing Only Major Bones, No Subdivision
× Incorrect Approach:
Write "Man" on the major bone and do not expand further
→ Result: Too little information, no analytical value
✓ Correct Approach:
Each major bone should be expanded to at least the 2nd-3rd layer
"Man" → "Insufficient Skills" → "Inadequate Training" → "Insufficient Training Period for New Employees"
Pitfall 3: Stopping at "Surface Causes"
× Incorrect Fishbone Analysis:
"Increase in defect rate"
→ Man: Inexperienced operation
→ Machine: Aging equipment
→ Material: Poor quality material
Then it stops.
→ Result: Unable to develop effective countermeasures
✓ Correct Fishbone Analysis:
Continue asking until "something can be done to change it"
Pitfall 4: One Person Drawing the Entire Diagram
× Incorrect Approach:
A quality engineer draws the fishbone diagram alone in the office
→ Result: A "expert perspective" diagram, missing real production line information
✓ Correct Approach:
Cross-functional team (QC + Production + Process + Equipment + ...) draws together
→ Different perspectives complement each other, uncovering hidden causes
Pitfall 5: Treating the Fishbone Diagram as a "Closing Report"
× Incorrect Approach:
Draw a beautiful fishbone diagram in an 8D report, then... no one looks at it again
→ Result: A pretty PPT, but the problem will reappear next time
✓ Correct Approach:
The fishbone diagram is an analysis tool, not a presentation tool
The key is "whether the conclusions drawn from the analysis have been converted into improvement actions?"
Pitfall 6: Confusing "Causes" and "Phenomena"
× Incorrect: "High defect rate" is caused by "dimensional tolerance exceedance"
→ Dimensional tolerance exceedance is itself a nonconformity, not a cause
✓ Correct:
Nonconformity: Dimensional tolerance exceedance
Cause: Tool wear → Unreasonable tool life setting → Lack of tool management system
Pitfall 7: Attempting to Analyze Multiple Problems with One Diagram
× Incorrect Approach:
List "increase in scrap rate, increase in customer complaints, decrease in efficiency" on one fishbone diagram
→ Result: Multiple problems mixed together, causes intersect, no clear starting point
✓ Correct Approach:
Analyze one problem at a time
If there are multiple problems, draw separate fishbone diagrams for each
Chapter 6: Combining Fishbone Diagrams with Other Tools
6.1 Fishbone Diagram + 5 Whys
Best Partner. The fishbone diagram provides "breadth," while 5 Whys provides "depth."
Combined Use Process:
Step 1: Fishbone Diagram Brainstorming
→ List all possible causes (broad coverage)
Step 2: Use voting/data to select key causes
→ Identify the most likely 3-5 causes
Step 3: Apply 5 Whys to each key cause
→ Dig to the system-level root cause (deep analysis)
6.2 Fishbone Diagram + Pareto Chart
Combined Use:
Step 1: Fishbone Diagram Analysis → List all cause hypotheses
Step 2: Design data collection based on cause hypotheses
Step 3: Analyze the collected data using a Pareto chart
→ Identify the "vital few" causes
Step 4: Develop improvement actions for the vital few causes
This method addresses the inherent weakness of the fishbone diagram: The fishbone diagram generates many hypotheses but cannot prioritize them. The Pareto chart supplements the prioritization.
6.3 Fishbone Diagram + FMEA
Combined Use:
Step 1: Use the fishbone diagram to identify potential failure causes in the process
Step 2: Input the causes identified in the fishbone diagram into the "failure cause" column of the FMEA
Step 3: Evaluate the severity (S), occurrence (O), and detection (D) of each cause
Step 4: Calculate the RPN to determine the improvement priority
FMEA's O (occurrence) and D (detection) judgments require fishbone diagram information as input.
6.4 Fishbone Diagram + C&E Matrix (Cause & Effect Matrix)
The C&E matrix is a "quantitative upgrade" of the fishbone diagram:
Approach:
├── Rows: All causes identified in the fishbone diagram
├── Columns: Product quality characteristics (CTQs)
├── Cells: Impact scores of causes on CTQs (0, 1, 3, 9)
└── Summary: Total score for each cause → Rank the most critical causes
Chapter 7: Practical Cases of Fishbone Diagrams in Various Industries
Case 1: Manufacturing —— "Insufficient Welding Strength"
Problem: The nonconformity rate of welding strength for product B on line A increased from 0.3% to 2.5%
Fishbone Diagram Analysis Path (Simplified):
Knowledge code: 5.2.4
Author: QTank