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IE 419 
Work Design: 
Productivity and Safety 
Dr. Andris Freivalds 
Class #21 
IE 419 1
Basics of Accident Prevention 
(Heinrich, Petersen, Roos – Industrial Accident Prevention) 
• Accident Prevention – direct control of 
workers, machines, environment to 
prevent accidents 
• Safety Management - long range 
planning, education, training to prevent 
accidents 
IE 419 2
Accident Prevention Process 
Identify Problem 
Collect Data 
Analyze Data 
Select Remedy 
Monitor 
Apply Remedy 
IE 419 3
Domino Theory (Identify Problem) 
IE 419 4
Ex. #1 - Domino Theory 
Sparks from grinder ignite nearby gasoline 
causing operator to be burned. 
• Lack of Control 
• Basic Causes 
• Immediate Causes 
• Accident 
• Injury 
Multiple causation! 
IE 419 5
Accident Causation 
Unsafe Acts Unsafe Conditions 
IE 419 6
Accident “Iceberg” 
IE 419 7
3 E’s of Accident Prevention 
• Engineering – redesign of job/workplace 
• Education – training 
• Enforcement – discipline, rules 
Accident Causation Models → 
IE 419 8
Life Change Unit Theory 
• Accident probability 
is situational 
• Overload taxes 
person’s capacity 
• Leads to accidents 
(or illness) 
• >300 → 79% in 2 yrs 
• >200 → 51% in 2 yrs 
• >150 → 37% in 2 yrs 
Rank Life Event Units 
1 Death of 
spouse 
IE 419 9 
100 
2 Divorce 73 
4 Jail term 63 
6 Injury 53 
27 End school 26 
41 Vacation 13
Motivation-Reward Satisfaction Model 
(Identify Problem) 
IE 419 10
Behavioral Based Training 
• ABC approach 
• A – antecedents 
• B – behavior 
• C - consequences 
IE 419 11
Collect Data – Analyze Data 
• Systematic approach 
• Who, what, where, when, how, why 
• Inspection 
– Job/methods analysis 
–Worksite analysis 
– Job Safety Analysis (JSA) 
– (Look beyond direct causes!!) 
IE 419 12
Job Safety Analysis (JSA) 
(Job Hazard Analysis, Methods Safety Analysis, 
Critical Incident Technique, Failure Mode and Effects 
Analysis (FMEA), Hazard and Operability Study (HAZOP)) 
1) Break down job into elements 
2) List them in sequential order 
3) Examine them critically 
4) Focus on: 
• Worker 
• Method 
• Machine 
• Material 
IE 419 13
IE 419 14
Ex. #2 - JSA 
Scenario: Two inspectors smashed their toes 
when a stack of armor plate (36x24x⅜ in), 
standing on end against workbench, slid to the 
floor. They were stacked there because of 
insufficient room to leave them on delivery 
pallet, towed from Receiving. Since each piece 
needed to Rockwell tested, the inspectors 
stacked the plates on end rather than laying 
them flat on the floor, which would require later 
lifting (NIOSH!!). Similar accidents had occurred 
earlier, but without injuries. 
Typical Solution: 
IE 419 15
Ex. #2 – JSA con’t (Old Method) 
IE 419 16
Ex. #2 – JSA con’t (New Method) 
Recommendation: 
Adjustable, powered 
transporter (two) 
IE 419 17
Advantages of JSA 
• Maps out all details 
• Quick, simple, objective 
• Compares old & new methods 
• Examines effects on production 
• Analyze safety before accident occurs 
• Leads into Fault Tree Analysis 
IE 419 18
Select Remedy 
Decision-Making Tools - Hazard Action Table 
Conditions 
IE 419 19
Ex. # 3 - Value Engineering 
IE 419 20
Value Engineering - Safety 
• Define Factors: 
– Effect on safety 
– Cost 
– Morale 
– Social/environment 
• Choose Alternatives – depends 
• Determine Weights – judgmental 
• Rate each alternative by factor - relative 
• Resulting Value (sum of products) selects 
proper alternative 
IE 419 21
Risk Analysis – Basics 
• Basic premise/approach 
– All risks can not be eliminated 
– However, can reduce potential loss 
– Go for max cost effectiveness 
• Risk of loss increases with: 
– ↑ probability that hazard will occur 
– ↑ exposure to the hazard 
– ↑ consequences of hazardous event 
IE 419 22
Risk Analysis - Procedure 
• Assign numerical values to factors 
• Multiply factors → overall risk score 
• Risk score is a numerical value 
• Good for relative comparison (not 
absolute) 
IE 419 23
Factor Values 
Likelihood Values 
Expected 10 
Possible 6 
Unusual 3 
Remote 1 
~ Conceivable 0.5 
~ Impossible 0.1 
Exposure Values 
Continuous 10 
Daily 6 
Weekly 3 
Monthly 2 
Few/year 1 
Yearly 0.5 
IE 419 24
Possible Consequences 
Possible Consequences Value 
Catastrophe (many fatalities, $108 damage) 100 
Disaster (few fatalities, $107 damage) 40 
Very serious (fatality?, $106 damage) 15 
Serious (serious injuries, $105 damage) 7 
Important (injuries, $104 damage) 3 
Noticeable (first aid, $103 damage) 1 
IE 419 25
Risk Score 
Risk Situation Value 
Very high risk, discontinue operations 400 
High risk, immediate correction 200-400 
Substantial risk, correction needed 70-200 
Possible risk, attention needed 20-70 
Risk?, perhaps acceptable < 20 
IE 419 26
Ex. #4 - Risk Calculation 
IE 419 27
Ex. #5 - Risk and Cost Effectiveness 
IE 419 28
Apply Remedy and Monitor 
• Who applies remedy 
– Safety specialist/engineer 
– Line supervisors 
– Workers 
• Monitor effectiveness of 
accident prevention 
– Close the feedback loop 
– Variety of statistical 
approaches 
Monitor 
IE 419 29 
Identify 
Problem 
Collect 
Data 
Analyze 
Data 
Select 
Remedy 
Apply 
Remedy
Accident and Injury Statistics 
• Incidence (frequency) rate 
IR = # incidents x 200,000 
# hrs exposure 
• Severity rate 
SR = # days lost x 200,000 
# hrs exposure 
IE 419 30
Chi-Square Analysis 
• χ2 = Σ (Ei – Oi)2/ Ei Ei = HixOT/HT 
• M = # areas Ei = expected 
• Oi = observed OT = Total observed 
• Hi = hours worked in area i 
• HT = total hours worked ν = m -1 
IE 419 31
Ex. #6 - Chi-Square Analysis 
Dept. # CTD # Hours IR Ei 
A 22 900,000 
B 4 600,000 1.3 7.4 
C 10 1,400,000 1.4 17.4 
Total 36 2,900,000 2.5 36 
χ2 = Σ (Ei – Oi)2/ Ei 
IE 419 32
Red Flagging – Control Chart 
IE 419 33
Red Flagging - Monitor 
IE 419 34

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Accident

  • 1. IE 419 Work Design: Productivity and Safety Dr. Andris Freivalds Class #21 IE 419 1
  • 2. Basics of Accident Prevention (Heinrich, Petersen, Roos – Industrial Accident Prevention) • Accident Prevention – direct control of workers, machines, environment to prevent accidents • Safety Management - long range planning, education, training to prevent accidents IE 419 2
  • 3. Accident Prevention Process Identify Problem Collect Data Analyze Data Select Remedy Monitor Apply Remedy IE 419 3
  • 4. Domino Theory (Identify Problem) IE 419 4
  • 5. Ex. #1 - Domino Theory Sparks from grinder ignite nearby gasoline causing operator to be burned. • Lack of Control • Basic Causes • Immediate Causes • Accident • Injury Multiple causation! IE 419 5
  • 6. Accident Causation Unsafe Acts Unsafe Conditions IE 419 6
  • 8. 3 E’s of Accident Prevention • Engineering – redesign of job/workplace • Education – training • Enforcement – discipline, rules Accident Causation Models → IE 419 8
  • 9. Life Change Unit Theory • Accident probability is situational • Overload taxes person’s capacity • Leads to accidents (or illness) • >300 → 79% in 2 yrs • >200 → 51% in 2 yrs • >150 → 37% in 2 yrs Rank Life Event Units 1 Death of spouse IE 419 9 100 2 Divorce 73 4 Jail term 63 6 Injury 53 27 End school 26 41 Vacation 13
  • 10. Motivation-Reward Satisfaction Model (Identify Problem) IE 419 10
  • 11. Behavioral Based Training • ABC approach • A – antecedents • B – behavior • C - consequences IE 419 11
  • 12. Collect Data – Analyze Data • Systematic approach • Who, what, where, when, how, why • Inspection – Job/methods analysis –Worksite analysis – Job Safety Analysis (JSA) – (Look beyond direct causes!!) IE 419 12
  • 13. Job Safety Analysis (JSA) (Job Hazard Analysis, Methods Safety Analysis, Critical Incident Technique, Failure Mode and Effects Analysis (FMEA), Hazard and Operability Study (HAZOP)) 1) Break down job into elements 2) List them in sequential order 3) Examine them critically 4) Focus on: • Worker • Method • Machine • Material IE 419 13
  • 15. Ex. #2 - JSA Scenario: Two inspectors smashed their toes when a stack of armor plate (36x24x⅜ in), standing on end against workbench, slid to the floor. They were stacked there because of insufficient room to leave them on delivery pallet, towed from Receiving. Since each piece needed to Rockwell tested, the inspectors stacked the plates on end rather than laying them flat on the floor, which would require later lifting (NIOSH!!). Similar accidents had occurred earlier, but without injuries. Typical Solution: IE 419 15
  • 16. Ex. #2 – JSA con’t (Old Method) IE 419 16
  • 17. Ex. #2 – JSA con’t (New Method) Recommendation: Adjustable, powered transporter (two) IE 419 17
  • 18. Advantages of JSA • Maps out all details • Quick, simple, objective • Compares old & new methods • Examines effects on production • Analyze safety before accident occurs • Leads into Fault Tree Analysis IE 419 18
  • 19. Select Remedy Decision-Making Tools - Hazard Action Table Conditions IE 419 19
  • 20. Ex. # 3 - Value Engineering IE 419 20
  • 21. Value Engineering - Safety • Define Factors: – Effect on safety – Cost – Morale – Social/environment • Choose Alternatives – depends • Determine Weights – judgmental • Rate each alternative by factor - relative • Resulting Value (sum of products) selects proper alternative IE 419 21
  • 22. Risk Analysis – Basics • Basic premise/approach – All risks can not be eliminated – However, can reduce potential loss – Go for max cost effectiveness • Risk of loss increases with: – ↑ probability that hazard will occur – ↑ exposure to the hazard – ↑ consequences of hazardous event IE 419 22
  • 23. Risk Analysis - Procedure • Assign numerical values to factors • Multiply factors → overall risk score • Risk score is a numerical value • Good for relative comparison (not absolute) IE 419 23
  • 24. Factor Values Likelihood Values Expected 10 Possible 6 Unusual 3 Remote 1 ~ Conceivable 0.5 ~ Impossible 0.1 Exposure Values Continuous 10 Daily 6 Weekly 3 Monthly 2 Few/year 1 Yearly 0.5 IE 419 24
  • 25. Possible Consequences Possible Consequences Value Catastrophe (many fatalities, $108 damage) 100 Disaster (few fatalities, $107 damage) 40 Very serious (fatality?, $106 damage) 15 Serious (serious injuries, $105 damage) 7 Important (injuries, $104 damage) 3 Noticeable (first aid, $103 damage) 1 IE 419 25
  • 26. Risk Score Risk Situation Value Very high risk, discontinue operations 400 High risk, immediate correction 200-400 Substantial risk, correction needed 70-200 Possible risk, attention needed 20-70 Risk?, perhaps acceptable < 20 IE 419 26
  • 27. Ex. #4 - Risk Calculation IE 419 27
  • 28. Ex. #5 - Risk and Cost Effectiveness IE 419 28
  • 29. Apply Remedy and Monitor • Who applies remedy – Safety specialist/engineer – Line supervisors – Workers • Monitor effectiveness of accident prevention – Close the feedback loop – Variety of statistical approaches Monitor IE 419 29 Identify Problem Collect Data Analyze Data Select Remedy Apply Remedy
  • 30. Accident and Injury Statistics • Incidence (frequency) rate IR = # incidents x 200,000 # hrs exposure • Severity rate SR = # days lost x 200,000 # hrs exposure IE 419 30
  • 31. Chi-Square Analysis • χ2 = Σ (Ei – Oi)2/ Ei Ei = HixOT/HT • M = # areas Ei = expected • Oi = observed OT = Total observed • Hi = hours worked in area i • HT = total hours worked ν = m -1 IE 419 31
  • 32. Ex. #6 - Chi-Square Analysis Dept. # CTD # Hours IR Ei A 22 900,000 B 4 600,000 1.3 7.4 C 10 1,400,000 1.4 17.4 Total 36 2,900,000 2.5 36 χ2 = Σ (Ei – Oi)2/ Ei IE 419 32
  • 33. Red Flagging – Control Chart IE 419 33
  • 34. Red Flagging - Monitor IE 419 34