š VIMAL'S UNIVERSAL
LESSON PLAN
ULP-∞ MASTER TEMPLATE
— APPLIED SERIES
PEMO2002 — Ergonomics in
Design and Manufacturing
|
Course: Ergonomics in
Design & Manufacturing | 8-Lesson Applied Series |
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Instructor Profile
|
Name |
Vimal Noble |
|
Qualification |
M.Tech (PEM), B.Tech
(Mechanical Engg), BA (English) |
|
Diplomas |
ME, DWM, DNHE |
|
Experience |
R&D, Social Audits,
Q/A, Production (HEC, SUBROS, RML) |
|
Present
Role |
Instructor, Mentor &
Skill Development Advocate |
|
Core
Strengths |
Technical Knowledge +
Teaching Excellence · Discipline + Innovation · Result-Oriented Skill
Development |
|
Quote |
“Education is the most
powerful tool to change your destiny.” |
š
Metta Charity Care – To Connect
Spreading
Metta (Loving-Kindness) through Knowledge & Service
Links:
Telegram · YouTube · X · Blog · Pinterest · Facebook
Lesson
Index
•
Lesson 1: Foundations of Ergonomics & the
Socio-Technical Human–Machine System
•
Lesson 2: Information Processing, Displays, Controls
& Human Output
•
Lesson 3: Anthropometry, Workplace Layout &
Principles of Motion Economy
•
Lesson 4: Biomechanics & Manual Material Handling —
NIOSH Lifting Analysis
•
Lesson 5: Environmental Ergonomics — Thermal Comfort,
Noise & Vibration
•
Lesson 6: Human Error, Human Reliability Analysis &
Safety
•
Lesson 7: Automobile & Product Ergonomics
•
Lesson 8: Project Management — Team Human Factors,
Communication & RACI Governance
|
LESSON 1 —
FOUNDATIONS OF ERGONOMICS & THE SOCIO-TECHNICAL HUMAN–MACHINE
SYSTEM |
|
Date |
__________________ |
|
Lesson
No. |
1 |
|
Title |
Foundations of Ergonomics
& the Socio-Technical Human–Machine System |
|
Sub-topic |
Meaning, importance,
human–machine–environment integration |
|
Time
Mode |
40-minute Deep Lesson |
1. Aim & Objectives (SMART)
•
A. Define ergonomics and distinguish it from general
workplace comfort.
•
B. Explain the
Human–Task–Machine–Environment–Organization system model.
•
C. State the global occupational-health burden using
WHO/ILO data.
•
D. Apply the 'design for human capability' principle to
one real example.
2. Training Aids, Equipment & Preparation
Parkinson's
Law: prepare in half the time you first estimate. Pareto (80/20): focus on the
top 20% of content that delivers 80% of the learning.
•
Whiteboard diagram of Human-Machine loop
•
WHO/ILO statistics handout
•
Sample workstation photos
3. Introduction (Why?)
Opening Hook: Ask: 'Why does a well-trained
worker still get injured on a badly designed machine?' — let students guess
before revealing the answer lies in system design, not worker fault.
Context Setting: Recap prior exposure to
basic industrial engineering; connect to the idea that machines alone don't
decide productivity — the human-machine fit does.
4. Presentation (Main Content)
•
Ergonomics = Ergon (work) + Nomos (laws) — the science
of fitting the task to the human, not the human to the task.
•
Core system chain: Human → Task → Machine → Environment
→ Organization → Performance → Safety.
•
Socio-technical system equation: System = People +
Technology + Task + Environment + Organization.
•
Consequences of poor ergonomic design: fatigue, awkward
posture, low productivity, human error, accidents, absenteeism, poor quality.
•
Ergonomic objective: optimize human well-being AND
system performance simultaneously, subject to Safety, Quality, Cost, Time and
Reliability constraints.
5. Examples (Real-Life / Industry / Regional)
Example
1: A CNC operator standing at a fixed-height console vs. an adjustable one —
fatigue difference over an 8-hour shift.
Example
2: Assembly-line reach distance redesign in an automobile plant reducing
shoulder strain.
Example
3: A rural Jharkhand workshop bench built for an 'average' worker leaving very
tall/short workers uncomfortable.
6. Evidence (Data, Facts, Research)
Statistic: ILO estimates ~2.93 million work-related deaths occur
globally every year, most from work-related disease rather than accidents.
Research Finding: WHO/ILO Joint Estimates
(2016 baseline) attribute a measurable share of the global disease burden to
occupational ergonomic-factor exposure.
Industry Data: Non-fatal occupational injuries are
estimated at roughly 395 million per year worldwide.
7. Psychological Learning Sequence (UPS)
•
Step 1: Attention Trigger
•
Step 2: Simplified Explanation
•
Step 3: Break into Micro-Parts
•
Step 4: Examples
•
Step 5: Evidence
•
Step 6: Tools / Resources
•
Step 7: Practical Activity (20 min): In pairs, students
sketch their own study/workstation as a
Human–Task–Machine–Environment–Organization diagram and list one design flaw
and one fix.
•
Step 8: QA-EV Evaluation
•
Step 9: Reflection
•
Step 10: Real-Life Integration
8. Assessment & Practice
T1:
Define ergonomics in one sentence.
T2:
List the five components of a socio-technical system.
T3:
Give one real example of 'forcing the human to adapt to poor design.'
Discussion Question: Why is ergonomics
considered an engineering discipline rather than a comfort issue?
9. Summary (Short Notes + Formula)
Key Formula: System = People + Technology + Task
+ Environment + Organization
•
Ergonomics fits the system to the human, not the
reverse.
•
Poor design produces fatigue, error, and accidents — not
poor motivation.
•
Global data confirms ergonomics has measurable health
and economic weight.
10. Key Terms / Interlinks + Bonus R&D Tip
Key Terms: Ergonomics, Socio-technical system, Human-machine
interface, Occupational health
Bonus R&D Tip: Whenever you evaluate any
machine or workstation henceforth, run the H-T-M-E-O checklist before judging
the operator.
11. Universal Laws Applied
•
✔ Law of Cause & Effect
•
✔ 80/20 Rule
•
✔ Parkinson's Law
•
✔ Law of Focus
•
✔ Law of Rhythm
•
✔ Law of Alignment
•
✔ Law of Energy (Emotion → Memory)
12. Time Mode
Selected:
40-minute Deep Lesson
Four Noble Truths — Right Path Integration
Problem: Workers suffer fatigue, injury, and error at otherwise
well-run facilities.
Cause: Systems are designed around the machine or the average
human, not the real range of human capability.
Freedom: Redesigning the human-machine-environment fit removes
the root cause of most preventable harm.
Right Path / Solution: Apply the socio-technical
system model at the design stage, not as a post-accident fix.
13. Class Closure
•
Final Q&A
•
Preview next topic: Information Processing, Displays,
Controls & Human Output
•
Polite closure line: 'Thank you for your attention —
carry today's principle into your next design decision.'
14. Engagement Call
"If
you have any queries, comment and connect."
15. Bonus Tip
"Review
all key points today. Tomorrow's topic builds directly on this one — don't miss
it."
16. Reflection & Continuous Improvement
|
What
worked well |
__________________________________________ |
|
What
needs improvement |
__________________________________________ |
|
Engagement
Level |
___ / 10 |
|
Objective
Achievement |
___ / 10 |
|
Next
Lesson Notes |
__________________________________________ |
|
Instructor
Signature |
_____________________ |
|
Principal
Signature |
_____________________ |
|
LESSON 2 —
INFORMATION PROCESSING, DISPLAYS, CONTROLS & HUMAN OUTPUT |
|
Date |
__________________ |
|
Lesson
No. |
2 |
|
Title |
Information Processing,
Displays, Controls & Human Output |
|
Sub-topic |
Stimulus–response chain,
display design, control-output matching |
|
Time
Mode |
40-minute Deep Lesson |
1. Aim & Objectives (SMART)
•
A. Describe the human information-processing sequence
from stimulus to feedback.
•
B. Evaluate a display design against clarity and
reaction-time principles.
•
C. Classify human output into physical, cognitive, and
motor categories.
•
D. Apply the 'information complexity down, decision time
down' design rule.
2. Training Aids, Equipment & Preparation
Parkinson's
Law: prepare in half the time you first estimate. Pareto (80/20): focus on the
top 20% of content that delivers 80% of the learning.
•
Sample CNC alarm panel image
•
Stopwatch for reaction demo
•
Display-coding table handout
3. Introduction (Why?)
Opening Hook: Flash two versions of a warning
display — one cluttered, one simple — and time how fast students can identify
'danger'.
Context Setting: Builds on Lesson 1's system
model by zooming into the human's information channel inside that system.
4. Presentation (Main Content)
•
Processing sequence: Stimulus → Perception → Cognition →
Decision → Action → Feedback.
•
Good displays need visibility, readability, contrast,
meaningful coding, logical arrangement, rapid interpretation.
•
Example: temperature display coded
Normal/Warning/Critical/Emergency instead of a raw number the operator must
interpret under stress.
•
Human output types: Physical (lifting, gripping),
Cognitive (diagnosis, planning), Motor (button press, steering).
•
Design principle: reducing information complexity
reduces decision time — critical during emergencies.
5. Examples (Real-Life / Industry / Regional)
Example
1: Color-coded CNC alarm lights (green/amber/red) vs. a plain numeric error
code.
Example
2: Automobile dashboard warning icons vs. paragraph-length text warnings.
Example
3: A control lever placed exactly where the operator's hand naturally rests
after the triggering signal.
6. Evidence (Data, Facts, Research)
Statistic: Reaction-time research (Hick–Hyman Law) shows choice
reaction time increases linearly with the number of display alternatives an
operator must interpret.
Research Finding: Human-factors literature
(Sanders & McCormick) identifies display clutter as a major contributor to
delayed emergency response.
Industry Data: Industrial incident reviews
frequently cite 'operator misread display' as a root or contributing cause.
7. Psychological Learning Sequence (UPS)
•
Step 1: Attention Trigger
•
Step 2: Simplified Explanation
•
Step 3: Break into Micro-Parts
•
Step 4: Examples
•
Step 5: Evidence
•
Step 6: Tools / Resources
•
Step 7: Practical Activity (15 min): Students redesign a
poorly-labelled machine display shown on screen, applying the coding and
simplicity principles.
•
Step 8: QA-EV Evaluation
•
Step 9: Reflection
•
Step 10: Real-Life Integration
8. Assessment & Practice
T1:
List the six steps of the human information-processing chain.
T2:
Name the three categories of human output.
T3:
Why does reducing display complexity reduce decision time?
Discussion Question: How would you redesign a
control panel that mixes 12 unlabelled switches?
9. Summary (Short Notes + Formula)
Key Formula: Information Complexity ↓ ⇒ Decision
Time ↓
•
Every human action traces back through a
perception-cognition-decision chain.
•
Displays should communicate meaning, not just raw data.
•
Output design must match the operator's physical,
cognitive and motor capacity.
10. Key Terms / Interlinks + Bonus R&D Tip
Key Terms: Stimulus-response chain, Display coding, Reaction time,
Motor output
Bonus R&D Tip: Before approving any
control-panel design, time how long it takes a first-time user to correctly
identify the emergency stop.
11. Universal Laws Applied
•
✔ Law of Cause & Effect
•
✔ 80/20 Rule
•
✔ Parkinson's Law
•
✔ Law of Focus
•
✔ Law of Rhythm
•
✔ Law of Alignment
•
✔ Law of Energy (Emotion → Memory)
12. Time Mode
Selected:
40-minute Deep Lesson
Four Noble Truths — Right Path Integration
Problem: Operators misread signals and respond too slowly during
critical events.
Cause: Displays present raw or excessive information instead of
interpreted, coded meaning.
Freedom: Simplified, well-coded displays cut decision time and
error probability.
Right Path / Solution: Apply display-coding and
motor-output matching principles at the design review stage.
13. Class Closure
•
Final Q&A
•
Preview next topic: Anthropometry, Workplace Layout
& Principles of Motion Economy
•
Polite closure line: 'Thank you for your attention —
carry today's principle into your next design decision.'
14. Engagement Call
"If
you have any queries, comment and connect."
15. Bonus Tip
"Review
all key points today. Tomorrow's topic builds directly on this one — don't miss
it."
16. Reflection & Continuous Improvement
|
What
worked well |
__________________________________________ |
|
What
needs improvement |
__________________________________________ |
|
Engagement
Level |
___ / 10 |
|
Objective
Achievement |
___ / 10 |
|
Next
Lesson Notes |
__________________________________________ |
|
Instructor
Signature |
_____________________ |
|
Principal
Signature |
_____________________ |
|
LESSON 3 —
ANTHROPOMETRY, WORKPLACE LAYOUT & PRINCIPLES OF MOTION ECONOMY |
|
Date |
__________________ |
|
Lesson
No. |
3 |
|
Title |
Anthropometry, Workplace
Layout & Principles of Motion Economy |
|
Sub-topic |
Percentile design,
workstation dimensioning, motion-economy rules |
|
Time
Mode |
40-minute Deep Lesson |
1. Aim & Objectives (SMART)
•
A. Explain why products/workstations are designed for
percentile ranges, not averages.
•
B. Calculate a design dimension using mean, standard
deviation and Z-factor.
•
C. Apply at least three principles of motion economy to
a workstation layout.
•
D. Justify adjustable design over fixed 'average-user'
design.
2. Training Aids, Equipment & Preparation
Parkinson's
Law: prepare in half the time you first estimate. Pareto (80/20): focus on the
top 20% of content that delivers 80% of the learning.
•
Anthropometric percentile chart
•
Tape measure for classroom demo
•
Sample workstation layout diagram
3. Introduction (Why?)
Opening Hook: Ask two students of very different
height to reach the same shelf — visibly demonstrate why 'design for average'
fails one of them.
Context Setting: Extends the H-T-M-E-O model
into physical dimensioning of the workspace.
4. Presentation (Main Content)
•
Anthropometry = measurement of human body dimensions:
stature, elbow height, reach, hand size, popliteal height.
•
Percentile design: 5th percentile for reach-limited
dimensions, 95th percentile for clearance dimensions.
•
Standard normal variable: Dimension = Ī¼ + Z·Ļ, using Z =
-1.645 (5th %) or +1.645 (95th %).
•
Motion economy principles: use both hands effectively,
minimize unnecessary motion, use gravity, place tools near point of use,
maintain proper working height, use jigs/fixtures, reduce visual searching.
•
Layout optimization chain: Motion distance ↓ ⇒ Time ↓ ⇒
Fatigue ↓ ⇒ Productivity ↑.
5. Examples (Real-Life / Industry / Regional)
Example
1: A door/overhead clearance sized to the 95th–99th percentile stature so
almost no one hits their head.
Example
2: A control reach distance sized to the 5th percentile arm reach so even the
shortest operator can reach it.
Example
3: An assembly bench rearranged so both hands work simultaneously, cutting
cycle time.
6. Evidence (Data, Facts, Research)
Statistic: Standard anthropometric design commonly spans the 5th to
95th percentile of the user population for adjustable equipment.
Research Finding: Ergonomics texts (Kroemer,
Fitting the Human) document that fixed 'average' dimensioning excludes roughly
half the intended population from comfortable use.
Industry Data: Automobile seat and cockpit design
(SAE J1100) uses 5th–95th/99th percentile envelopes for reach and clearance.
7. Psychological Learning Sequence (UPS)
•
Step 1: Attention Trigger
•
Step 2: Simplified Explanation
•
Step 3: Break into Micro-Parts
•
Step 4: Examples
•
Step 5: Evidence
•
Step 6: Tools / Resources
•
Step 7: Practical Activity (20 min): Given Ī¼=170 cm,
Ļ=6.5 cm for stature, students calculate the 5th and 95th percentile values and
discuss what each should be used for.
•
Step 8: QA-EV Evaluation
•
Step 9: Reflection
•
Step 10: Real-Life Integration
8. Assessment & Practice
T1:
Why is the 5th percentile used for reach and the 95th for clearance?
T2:
List three principles of motion economy.
T3:
Calculate a percentile dimension given Ī¼, Ļ and Z.
Discussion Question: Why is an adjustable
workstation usually superior to one built for the 'average' worker?
9. Summary (Short Notes + Formula)
Key Formula: Dimension = Ī¼ + Z·Ļ (Z₅=-1.645, Z₉₅=+1.645)
•
Never design for the 'average' — design for the intended
percentile range.
•
Reach-critical dimensions use lower percentiles;
clearance-critical dimensions use upper percentiles.
•
Motion economy shortens distance, time, and fatigue in
that order.
10. Key Terms / Interlinks + Bonus R&D Tip
Key Terms: Anthropometry, Percentile design, Z-factor, Motion
economy
Bonus R&D Tip: Keep a personal percentile
cheat-sheet (5th/50th/95th) for the dimensions you design against most often.
11. Universal Laws Applied
•
✔ Law of Cause & Effect
•
✔ 80/20 Rule
•
✔ Parkinson's Law
•
✔ Law of Focus
•
✔ Law of Rhythm
•
✔ Law of Alignment
•
✔ Law of Energy (Emotion → Memory)
12. Time Mode
Selected:
40-minute Deep Lesson
Four Noble Truths — Right Path Integration
Problem: Fixed-size workstations and products fail a large share
of their users.
Cause: Designers size for a mythical 'average' person instead
of the real population spread.
Freedom: Percentile-based, adjustable design serves the full
intended user range.
Right Path / Solution: Apply Ī¼ + ZĻ percentile
calculation and motion-economy rules at every layout decision.
13. Class Closure
•
Final Q&A
•
Preview next topic: Biomechanics & Manual Material
Handling — NIOSH Lifting Analysis
•
Polite closure line: 'Thank you for your attention —
carry today's principle into your next design decision.'
14. Engagement Call
"If
you have any queries, comment and connect."
15. Bonus Tip
"Review
all key points today. Tomorrow's topic builds directly on this one — don't miss
it."
16. Reflection & Continuous Improvement
|
What
worked well |
__________________________________________ |
|
What
needs improvement |
__________________________________________ |
|
Engagement
Level |
___ / 10 |
|
Objective
Achievement |
___ / 10 |
|
Next
Lesson Notes |
__________________________________________ |
|
Instructor
Signature |
_____________________ |
|
Principal
Signature |
_____________________ |
|
LESSON 4 —
BIOMECHANICS & MANUAL MATERIAL HANDLING — NIOSH LIFTING ANALYSIS |
|
Date |
__________________ |
|
Lesson
No. |
4 |
|
Title |
Biomechanics & Manual
Material Handling — NIOSH Lifting Analysis |
|
Sub-topic |
Moment calculation, L5/S1
compression, RWL and Lifting Index |
|
Time
Mode |
40-minute Deep Lesson |
1. Aim & Objectives (SMART)
•
A. Calculate a biomechanical moment for a given force
and reach.
•
B. Compute the Recommended Weight Limit (RWL) using the
NIOSH multipliers.
•
C. Calculate the Lifting Index (LI) and interpret the
risk level.
•
D. Recommend at least two redesign actions to bring LI
to a safe range.
2. Training Aids, Equipment & Preparation
Parkinson's
Law: prepare in half the time you first estimate. Pareto (80/20): focus on the
top 20% of content that delivers 80% of the learning.
•
NIOSH multiplier table handout
•
Sample lifting-task photo/video
•
Calculator
3. Introduction (Why?)
Opening Hook: Ask students to estimate, by eye,
whether a 15 kg lift at arm's length is 'safe' — then reveal the calculated
Lifting Index.
Context Setting: Applies the biomechanics
and manual-handling theory to a numeric engineering decision, following
anthropometric reach limits from Lesson 3.
4. Presentation (Main Content)
•
Moment = Force × Perpendicular distance — halving reach
halves the joint moment.
•
NIOSH RWL = LC × HM × VM × DM × AM × CM × FM (Load
Constant × six task multipliers).
•
Lifting Index LI = Load Weight ÷ RWL. LI ≤ 1.0 is
generally low risk; LI > 3.0 is severe high risk.
•
L5/S1 compressive force model: NIOSH Action Limit ≈ 3400
N, Maximum Permissible Limit ≈ 6400 N.
•
Redesign levers: reduce load, reduce reach/horizontal
distance, improve lift height, reduce twisting, reduce frequency, improve
grip/coupling, add mechanical assistance.
5. Examples (Real-Life / Industry / Regional)
Example
1: Worked example: LC=23 kg with realistic multipliers gives RWL≈11.5 kg; a 15
kg actual load gives LI≈1.30 → redesign needed.
Example
2: CNC bin-lifting case: relocating a bin from H=40 cm to H=25 cm raises HM and
brings LI from 1.58 down to ≤1.0.
Example
3: Automobile assembly overhead reach reduced from V>140 cm to elbow height
(~105 cm), cutting shoulder loading.
6. Evidence (Data, Facts, Research)
Statistic: WHO estimates roughly 570 million prevalent cases of
low-back pain globally (GBD data) — the single leading contributor to
disability in many countries.
Research Finding: Waters, Putz-Anderson, Garg
& Fine (1993) — the Revised NIOSH Lifting Equation is the standard method
for evaluating two-handed lifting risk.
Industry Data: Documented interventions (bin
relocation, mechanical hoists) have cut MSD injury claims by over 60% in some
assembly-line case studies.
7. Psychological Learning Sequence (UPS)
•
Step 1: Attention Trigger
•
Step 2: Simplified Explanation
•
Step 3: Break into Micro-Parts
•
Step 4: Examples
•
Step 5: Evidence
•
Step 6: Tools / Resources
•
Step 7: Practical Activity (25 min): Students work
through a supplied RNLE numerical problem (given H, V, D, A, F, coupling) to
calculate RWL and LI, then propose one redesign.
•
Step 8: QA-EV Evaluation
•
Step 9: Reflection
•
Step 10: Real-Life Integration
8. Assessment & Practice
T1:
Write the NIOSH RWL formula.
T2:
What does LI > 1.0 indicate?
T3:
Name three ways to reduce a task's Lifting Index.
Discussion Question: Why does reducing
horizontal reach have such a large effect on both moment and RWL?
9. Summary (Short Notes + Formula)
Key Formula: LI = Load Weight ÷ RWL, RWL = LC×HM×VM×DM×AM×CM×FM
•
Biomechanical moment scales directly with reach distance
— reduce reach to cut joint load.
•
The Lifting Index converts a real load and task geometry
into a single risk indicator.
•
Redesign (not willpower or training alone) is the
primary lever for reducing lifting risk.
10. Key Terms / Interlinks + Bonus R&D Tip
Key Terms: NIOSH RWL, Lifting Index, L5/S1 compression, Manual
material handling
Bonus R&D Tip: Always compute LI before
approving a manual lifting task in any project you supervise — don't rely on
visual judgment alone.
11. Universal Laws Applied
•
✔ Law of Cause & Effect
•
✔ 80/20 Rule
•
✔ Parkinson's Law
•
✔ Law of Focus
•
✔ Law of Rhythm
•
✔ Law of Alignment
•
✔ Law of Energy (Emotion → Memory)
12. Time Mode
Selected:
40-minute Deep Lesson
Four Noble Truths — Right Path Integration
Problem: Manual lifting tasks cause a large share of workplace
musculoskeletal injury.
Cause: Task geometry (reach, height, frequency, twisting) is
set without checking against a recognized lifting limit.
Freedom: Calculating RWL and LI exposes the risk numerically
before injury occurs.
Right Path / Solution: Redesign the task geometry
— reach, height, frequency, coupling — using the NIOSH equation as the guide.
13. Class Closure
•
Final Q&A
•
Preview next topic: Environmental Ergonomics — Thermal
Comfort, Noise & Vibration
•
Polite closure line: 'Thank you for your attention —
carry today's principle into your next design decision.'
14. Engagement Call
"If
you have any queries, comment and connect."
15. Bonus Tip
"Review
all key points today. Tomorrow's topic builds directly on this one — don't miss
it."
16. Reflection & Continuous Improvement
|
What
worked well |
__________________________________________ |
|
What
needs improvement |
__________________________________________ |
|
Engagement
Level |
___ / 10 |
|
Objective
Achievement |
___ / 10 |
|
Next
Lesson Notes |
__________________________________________ |
|
Instructor
Signature |
_____________________ |
|
Principal
Signature |
_____________________ |
|
LESSON 5 —
ENVIRONMENTAL ERGONOMICS — THERMAL COMFORT, NOISE & VIBRATION |
|
Date |
__________________ |
|
Lesson
No. |
5 |
|
Title |
Environmental Ergonomics
— Thermal Comfort, Noise & Vibration |
|
Sub-topic |
WBGT, noise dose,
whole-body and hand-arm vibration |
|
Time
Mode |
40-minute Deep Lesson |
1. Aim & Objectives (SMART)
•
A. Explain the heat-balance equation and WBGT index.
•
B. Calculate a simple occupational noise dose using the
exchange-rate rule.
•
C. Distinguish whole-body vibration from hand-arm
vibration and their sources.
•
D. Recommend engineering controls following the
hazard-control hierarchy.
2. Training Aids, Equipment & Preparation
Parkinson's
Law: prepare in half the time you first estimate. Pareto (80/20): focus on the
top 20% of content that delivers 80% of the learning.
•
WBGT/noise limit table handout
•
Sample dB meter readings
•
Vibration tool images (grinder, tractor)
3. Introduction (Why?)
Opening Hook: Ask: 'Which is worse for hearing —
90 dB for 8 hours or 100 dB for 2 hours?' — reveal both are near the same
permissible dose.
Context Setting: Shifts focus from the
worker's body (Lessons 3–4) to the surrounding physical environment.
4. Presentation (Main Content)
•
Heat balance: S = M − (±R ±C) − E − W; WBGT combines
natural wet-bulb, globe and dry-bulb temperatures.
•
Noise dose uses an exchange-rate rule (e.g., 5 dB OSHA /
3 dB NIOSH) against a baseline permissible duration.
•
Whole-body vibration: tractors, excavators, trucks.
Hand-arm vibration: grinders, pneumatic tools, drills.
•
Control hierarchy: Elimination → Substitution →
Engineering controls → Administrative controls → PPE (PPE is the last resort,
not the first).
•
Environmental stress increases fatigue and error
probability even when each factor alone seems tolerable.
5. Examples (Real-Life / Industry / Regional)
Example
1: A foundry worker's WBGT exceeding safe limits during summer afternoon
shifts.
Example
2: A grinder operator given anti-vibration gloves as the ONLY control — a
violation of the hierarchy, since engineering controls should come first.
Example
3: A machine shop enclosure reducing ambient noise from 95 dBA to below 85 dBA.
6. Evidence (Data, Facts, Research)
Statistic: OSHA permits 8 hours at 90 dBA before requiring hearing
protection intervention (Permissible Exposure Limit).
Research Finding: ACGIH Threshold Limit
Values document combined effects of heat, noise and vibration on sustained
attention and error rate.
Industry Data: Anti-fatigue matting and
vibration-isolated tool handles have been shown in assembly case studies to
reduce standing fatigue and grip strain.
7. Psychological Learning Sequence (UPS)
•
Step 1: Attention Trigger
•
Step 2: Simplified Explanation
•
Step 3: Break into Micro-Parts
•
Step 4: Examples
•
Step 5: Evidence
•
Step 6: Tools / Resources
•
Step 7: Practical Activity (15 min): Students classify
five given workplace scenarios by which level of the hazard-control hierarchy
would be most appropriate.
•
Step 8: QA-EV Evaluation
•
Step 9: Reflection
•
Step 10: Real-Life Integration
8. Assessment & Practice
T1:
State the control hierarchy in order.
T2:
Differentiate whole-body vibration from hand-arm vibration.
T3:
Why is PPE considered the last line of defense, not the first?
Discussion Question: Why can engineering
controls be more reliable than relying on worker behavior or PPE compliance?
9. Summary (Short Notes + Formula)
Key Formula: S = M − (±R ±C) − E − W (heat balance)
•
Thermal, noise and vibration stress compound fatigue and
error risk.
•
Engineering controls should always be attempted before
PPE.
•
Vibration exposure differs by whole-body vs. hand-arm
pathway and source.
10. Key Terms / Interlinks + Bonus R&D Tip
Key Terms: WBGT, Noise dose, Whole-body vibration, Hand-arm
vibration, Control hierarchy
Bonus R&D Tip: When auditing a workplace,
check the control hierarchy order first — PPE-only solutions are a design red
flag.
11. Universal Laws Applied
•
✔ Law of Cause & Effect
•
✔ 80/20 Rule
•
✔ Parkinson's Law
•
✔ Law of Focus
•
✔ Law of Rhythm
•
✔ Law of Alignment
•
✔ Law of Energy (Emotion → Memory)
12. Time Mode
Selected:
40-minute Deep Lesson
Four Noble Truths — Right Path Integration
Problem: Workers in hot, noisy, or vibrating environments show
elevated fatigue and error.
Cause: Environmental stressors are tolerated individually
without measuring their combined WBGT/dose/vibration limits.
Freedom: Measuring against recognized limits (WBGT, noise dose,
vibration exposure) exposes the real risk.
Right Path / Solution: Apply the
elimination-to-PPE control hierarchy, engineering controls first.
13. Class Closure
•
Final Q&A
•
Preview next topic: Human Error, Human Reliability
Analysis & Safety
•
Polite closure line: 'Thank you for your attention —
carry today's principle into your next design decision.'
14. Engagement Call
"If
you have any queries, comment and connect."
15. Bonus Tip
"Review
all key points today. Tomorrow's topic builds directly on this one — don't miss
it."
16. Reflection & Continuous Improvement
|
What
worked well |
__________________________________________ |
|
What
needs improvement |
__________________________________________ |
|
Engagement
Level |
___ / 10 |
|
Objective
Achievement |
___ / 10 |
|
Next
Lesson Notes |
__________________________________________ |
|
Instructor
Signature |
_____________________ |
|
Principal
Signature |
_____________________ |
|
LESSON 6 —
HUMAN ERROR, HUMAN RELIABILITY ANALYSIS & SAFETY |
|
Date |
__________________ |
|
Lesson
No. |
6 |
|
Title |
Human Error, Human
Reliability Analysis & Safety |
|
Sub-topic |
Error classification,
HEP/HSP calculation, risk assessment |
|
Time
Mode |
40-minute Deep Lesson |
1. Aim & Objectives (SMART)
•
A. Classify a human error using Reason's
slips/lapses/mistakes/violations model.
•
B. Calculate Human Success Probability for a multi-step
task.
•
C. Compute a simple risk score using probability ×
severity.
•
D. Explain how a Performance Shaping Factor changes
error probability.
2. Training Aids, Equipment & Preparation
Parkinson's
Law: prepare in half the time you first estimate. Pareto (80/20): focus on the
top 20% of content that delivers 80% of the learning.
•
Reason's error-classification chart
•
Risk matrix handout
•
Calculator
3. Introduction (Why?)
Opening Hook: Present a short accident scenario
and ask students to spot whether it was a slip, a lapse, a mistake, or a
violation.
Context Setting: Connects earlier design
topics (displays, environment, workload) to the human-error and safety outcome
they ultimately produce.
4. Presentation (Main Content)
•
Error chain: Hazard → Poor Design → Human Error → Unsafe
Condition → Incident → Accident — break the chain before the accident.
•
Reason's classification: Slips/Lapses (unintentional
execution/memory failures) vs. Mistakes/Violations (intentional but flawed or
rule-breaking actions).
•
Human Reliability: HR = Successful Actions ÷ Total
Required Actions; for independent steps, System Success = Ī (1 − HEPįµ¢).
•
Risk = Probability × Severity — used to prioritize
corrective action.
•
Performance Shaping Factors (fatigue, stress, poor
interface, task complexity, low training) multiply baseline error probability
upward.
5. Examples (Real-Life / Industry / Regional)
Example
1: Two-action task: individual error probability 0.02 each gives combined
success probability 0.98×0.98 = 96.04%.
Example
2: A CNC setup error rate dropping from 3.1% to 0.4% after standardizing
control-panel coding (interface PSF improved).
Example
3: Risk matrix scoring: 'machine entanglement' scored 2 (probability) × 5
(severity) = 10, prioritized for immediate control.
6. Evidence (Data, Facts, Research)
Statistic: Updated ILO estimates put work-related deaths at
approximately 2.93 million per year, most from disease rather than acute
accidents.
Research Finding: Reason (1990), Human Error
— the Swiss Cheese Model remains the standard framework for classifying and
preventing systemic failure.
Industry Data: Interface redesign (reducing visual
clutter) has been shown in worked HRA examples to cut a step's error
probability by an order of magnitude.
7. Psychological Learning Sequence (UPS)
•
Step 1: Attention Trigger
•
Step 2: Simplified Explanation
•
Step 3: Break into Micro-Parts
•
Step 4: Examples
•
Step 5: Evidence
•
Step 6: Tools / Resources
•
Step 7: Practical Activity (20 min): Given a 5-step task
with individual HEP values, students calculate total system success
probability, then re-calculate after one HEP is improved via a design PSF.
•
Step 8: QA-EV Evaluation
•
Step 9: Reflection
•
Step 10: Real-Life Integration
8. Assessment & Practice
T1:
Name Reason's four categories of human error.
T2:
Write the formula for system human success probability.
T3:
How does a Performance Shaping Factor affect HEP?
Discussion Question: Why is it more effective to
redesign the interface than to simply warn or retrain the operator?
9. Summary (Short Notes + Formula)
Key Formula: HSP_system = Ī (1 − HEPįµ¢)
•
Human error is rarely random — it follows classifiable
patterns tied to design and workload.
•
Reliability of a multi-step task drops fast as the
number of steps grows, even with low individual error rates.
•
Risk = Probability × Severity focuses limited resources
on the highest-priority hazards.
10. Key Terms / Interlinks + Bonus R&D Tip
Key Terms: Human error, HEP/HSP, Performance Shaping Factor, Risk
matrix
Bonus R&D Tip: Before blaming an operator
for an incident, check whether a Performance Shaping Factor (fatigue,
interface, workload) was really the root cause.
11. Universal Laws Applied
•
✔ Law of Cause & Effect
•
✔ 80/20 Rule
•
✔ Parkinson's Law
•
✔ Law of Focus
•
✔ Law of Rhythm
•
✔ Law of Alignment
•
✔ Law of Energy (Emotion → Memory)
12. Time Mode
Selected:
40-minute Deep Lesson
Four Noble Truths — Right Path Integration
Problem: Accidents recur even with trained, capable operators.
Cause: Underlying error chains and unfavorable Performance
Shaping Factors are not identified before failure.
Freedom: Classifying errors and calculating system reliability
exposes the real weak points.
Right Path / Solution: Redesign the interface,
workload, and training to reduce HEP at its source, not just after an incident.
13. Class Closure
•
Final Q&A
•
Preview next topic: Automobile & Product Ergonomics
•
Polite closure line: 'Thank you for your attention —
carry today's principle into your next design decision.'
14. Engagement Call
"If
you have any queries, comment and connect."
15. Bonus Tip
"Review
all key points today. Tomorrow's topic builds directly on this one — don't miss
it."
16. Reflection & Continuous Improvement
|
What
worked well |
__________________________________________ |
|
What
needs improvement |
__________________________________________ |
|
Engagement
Level |
___ / 10 |
|
Objective
Achievement |
___ / 10 |
|
Next
Lesson Notes |
__________________________________________ |
|
Instructor
Signature |
_____________________ |
|
Principal
Signature |
_____________________ |
|
LESSON 7 —
AUTOMOBILE & PRODUCT ERGONOMICS |
|
Date |
__________________ |
|
Lesson
No. |
7 |
|
Title |
Automobile & Product
Ergonomics |
|
Sub-topic |
Driver interface design,
cockpit packaging, product usability |
|
Time
Mode |
40-minute Deep Lesson |
1. Aim & Objectives (SMART)
•
A. Identify the key automotive ergonomic variables
(H-point, sightline, reach envelope).
•
B. Apply reliability + usability + comfort criteria to a
hand-tool or consumer product.
•
C. Explain why driver information overload increases
cognitive workload.
•
D. Propose one ergonomic improvement to a given product
design.
2. Training Aids, Equipment & Preparation
Parkinson's
Law: prepare in half the time you first estimate. Pareto (80/20): focus on the
top 20% of content that delivers 80% of the learning.
•
Automobile cockpit diagram
•
Sample hand tool for grip discussion
•
SAE standard reference sheet
3. Introduction (Why?)
Opening Hook: Ask students to describe what's
uncomfortable about the last vehicle or bus seat they sat in — link it to a
design variable.
Context Setting: Applies anthropometry
(Lesson 3), biomechanics (Lesson 4) and information processing (Lesson 2) to a
single integrated product: the vehicle.
4. Presentation (Main Content)
•
Product design criterion: Function + Safety + Usability
+ Comfort + Reliability + Maintainability.
•
Automotive variables: H-point (SAE J826) hip reference,
torso recline angle, sightline/eyellipse (SAE J941), reach envelope (SAE J287),
pedal clearance.
•
Hand-tool ergonomics: grip diameter, grip material,
force requirement, vibration isolation, weight, operating posture.
•
Driver information system: Road info + Vehicle info +
Navigation → Driver decision — poor design raises cognitive workload and
reaction time.
•
System reliability is technical + human + interaction
reliability combined — a reliable machine with a confusing interface still
fails in practice.
5. Examples (Real-Life / Industry / Regional)
Example
1: Dashboard icon warnings vs. paragraph text — icon coding reduces glance
time.
Example
2: An anti-vibration elastomeric grip sleeve reducing hand-arm vibration
exposure on a torque wrench.
Example
3: Seat H-point and recline angle set within the 22°–28° SAE comfort range for
long-duration driving.
6. Evidence (Data, Facts, Research)
Statistic: SAE J1100/J826/J941/J287 define standardized
human-factor envelopes used across the global automotive industry.
Research Finding: Human-factors literature
links dashboard information overload directly to increased driver reaction time
and error.
Industry Data: Anti-vibration tool-grip redesign
in one documented case reduced hand-arm vibration exposure while cutting cycle
time.
7. Psychological Learning Sequence (UPS)
•
Step 1: Attention Trigger
•
Step 2: Simplified Explanation
•
Step 3: Break into Micro-Parts
•
Step 4: Examples
•
Step 5: Evidence
•
Step 6: Tools / Resources
•
Step 7: Practical Activity (15 min): Students critique a
photo of a dashboard or hand-tool provided in class against the
Function-Safety-Usability-Comfort-Reliability-Maintainability checklist.
•
Step 8: QA-EV Evaluation
•
Step 9: Reflection
•
Step 10: Real-Life Integration
8. Assessment & Practice
T1:
What does the automotive H-point represent?
T2:
List the six criteria of good product design.
T3:
Why does information overload increase driver risk?
Discussion Question: How would you redesign a
cluttered dashboard to reduce cognitive workload without removing needed
information?
9. Summary (Short Notes + Formula)
Key Formula: Product Design = Function + Safety
+ Usability + Comfort + Reliability + Maintainability
•
Automotive ergonomics is standardized (SAE) precisely
because human variation must be engineered for at scale.
•
A reliable machine can still fail through a poor human
interface.
•
Good product design balances six criteria
simultaneously, not comfort alone.
10. Key Terms / Interlinks + Bonus R&D Tip
Key Terms: H-point, Eyellipse, Reach envelope, Interaction
reliability
Bonus R&D Tip: When evaluating any
product, run the six-criterion checklist
(Function-Safety-Usability-Comfort-Reliability-Maintainability) before judging
it 'good' or 'bad'.
11. Universal Laws Applied
•
✔ Law of Cause & Effect
•
✔ 80/20 Rule
•
✔ Parkinson's Law
•
✔ Law of Focus
•
✔ Law of Rhythm
•
✔ Law of Alignment
•
✔ Law of Energy (Emotion → Memory)
12. Time Mode
Selected:
40-minute Deep Lesson
Four Noble Truths — Right Path Integration
Problem: Technically reliable products still cause driver/user
error and dissatisfaction.
Cause: Interface and cognitive-workload factors are treated as
secondary to core function.
Freedom: Standardized ergonomic envelopes (SAE-type) and the
six-criterion checklist close this gap.
Right Path / Solution: Design and evaluate every
product against Function, Safety, Usability, Comfort, Reliability and
Maintainability together.
13. Class Closure
•
Final Q&A
•
Preview next topic: Project Management — Team Human
Factors, Communication & RACI Governance
•
Polite closure line: 'Thank you for your attention —
carry today's principle into your next design decision.'
14. Engagement Call
"If
you have any queries, comment and connect."
15. Bonus Tip
"Review
all key points today. Tomorrow's topic builds directly on this one — don't miss
it."
16. Reflection & Continuous Improvement
|
What
worked well |
__________________________________________ |
|
What
needs improvement |
__________________________________________ |
|
Engagement
Level |
___ / 10 |
|
Objective
Achievement |
___ / 10 |
|
Next
Lesson Notes |
__________________________________________ |
|
Instructor
Signature |
_____________________ |
|
Principal
Signature |
_____________________ |
|
LESSON 8 —
PROJECT MANAGEMENT — TEAM HUMAN FACTORS, COMMUNICATION & RACI
GOVERNANCE |
|
Date |
__________________ |
|
Lesson
No. |
8 |
|
Title |
Project Management — Team
Human Factors, Communication & RACI Governance |
|
Sub-topic |
Communication networks,
conflict management, accountability structures |
|
Time
Mode |
40-minute Deep Lesson |
1. Aim & Objectives (SMART)
•
A. Explain why communication-channel count grows
quadratically with team size.
•
B. Apply a structured conflict-resolution sequence to a
project scenario.
•
C. Build a RACI matrix for a given set of project
activities.
•
D. Relate human-factor performance to the overall
Project Performance Index (PPI).
2. Training Aids, Equipment & Preparation
Parkinson's
Law: prepare in half the time you first estimate. Pareto (80/20): focus on the
top 20% of content that delivers 80% of the learning.
•
Communication-network diagram (wheel/circle/mesh)
•
Blank RACI matrix template
•
Whiteboard
3. Introduction (Why?)
Opening Hook: Ask a 10-member vs. 20-member team
size question: 'How many communication channels exist?' — reveal 45 vs. 190 to
show why large teams need structure.
Context Setting: Closes the module loop by
showing that ergonomics extends beyond the physical worker into team and
organizational design.
4. Presentation (Main Content)
•
Channels grow as Cā = n(n−1)/2 — team size increases
coordination complexity quadratically, not linearly.
•
Communication networks: Wheel (centralized, fast/fixed),
Circle (decentralized, flexible/slow), All-channel/Mesh (collaborative,
complex).
•
Conflict-resolution sequence: Identify → Listen →
Analyze → Generate Alternatives → Decide → Follow Up.
•
RACI matrix: Responsible (does the work), Accountable
(owns the decision), Consulted (two-way input), Informed (one-way update).
•
Integrated Project Performance Index: PPI = w₁S + w₂C +
w₃Q + w₄R + w₅H, where H is the human-factor performance term.
5. Examples (Real-Life / Industry / Regional)
Example
1: A 20-member project team splitting into sub-teams to reduce coordination
overhead from 190 potential channels.
Example
2: A design-revision communication failure reaching production late, causing
rework and schedule delay.
Example
3: A RACI matrix clarifying that the Safety Officer is Responsible for the
NIOSH ergonomic audit while the Project Manager remains Accountable.
6. Evidence (Data, Facts, Research)
Statistic: Communication channels: 5 members → 10 channels; 10
members → 45 channels; 20 members → 190 channels; 50 members → 1,225 channels.
Research Finding: Project-management
literature (Kerzner) links unclear accountability structures to schedule and
cost overruns.
Industry Data: Documented project cases show RACI
clarity reducing rework caused by ambiguous ownership of ergonomic and safety
sign-offs.
7. Psychological Learning Sequence (UPS)
•
Step 1: Attention Trigger
•
Step 2: Simplified Explanation
•
Step 3: Break into Micro-Parts
•
Step 4: Examples
•
Step 5: Evidence
•
Step 6: Tools / Resources
•
Step 7: Practical Activity (20 min): Students build a
RACI matrix for four given project activities (design approval, ergonomic
audit, commissioning, QA sign-off) across five roles.
•
Step 8: QA-EV Evaluation
•
Step 9: Reflection
•
Step 10: Real-Life Integration
8. Assessment & Practice
T1:
Write the formula for the number of communication channels in a team of size n.
T2:
List the six steps of structured conflict resolution.
T3:
What is the difference between Responsible and Accountable in RACI?
Discussion Question: Why does human-factor
performance (H) belong inside the same Project Performance Index as schedule
and cost?
9. Summary (Short Notes + Formula)
Key Formula: PPI = w₁S + w₂C + w₃Q + w₄R +
w₅H |
Cā = n(n−1)/2
•
Team coordination complexity rises faster than team size
— structure becomes essential past a certain point.
•
A defined conflict-resolution sequence prevents ad-hoc,
personality-driven decisions.
•
RACI clarity is itself an ergonomic intervention — it
reduces communication-failure-driven error.
10. Key Terms / Interlinks + Bonus R&D Tip
Key Terms: Communication network, RACI matrix, Conflict resolution,
Project Performance Index
Bonus R&D Tip: Draw the RACI matrix before
the project starts, not after the first accountability dispute.
11. Universal Laws Applied
•
✔ Law of Cause & Effect
•
✔ 80/20 Rule
•
✔ Parkinson's Law
•
✔ Law of Focus
•
✔ Law of Rhythm
•
✔ Law of Alignment
•
✔ Law of Energy (Emotion → Memory)
12. Time Mode
Selected:
40-minute Deep Lesson
Four Noble Truths — Right Path Integration
Problem: Projects suffer rework, delay and cost overrun from
communication and accountability failures.
Cause: Team communication load and role ownership are left
implicit as team size grows.
Freedom: Structured communication networks and RACI clarity
remove the ambiguity that causes failure.
Right Path / Solution: Build the RACI matrix and
choose an appropriate communication network structure at project kickoff.
13. Class Closure
•
Final Q&A
•
Preview next topic: Course wrap-up and integrated review
•
Polite closure line: 'Thank you for your attention —
carry today's principle into your next design decision.'
14. Engagement Call
"If
you have any queries, comment and connect."
15. Bonus Tip
"Review
all key points today. Tomorrow's topic builds directly on this one — don't miss
it."
16. Reflection & Continuous Improvement
|
What
worked well |
__________________________________________ |
|
What
needs improvement |
__________________________________________ |
|
Engagement
Level |
___ / 10 |
|
Objective
Achievement |
___ / 10 |
|
Next
Lesson Notes |
__________________________________________ |
|
Instructor
Signature |
_____________________ |
|
Principal
Signature |
_____________________ |
