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By:
List the names of group members
Chinmai Kethineni
Saraswathi Guduri
Shiva Teja Sepuri
Sai Surya Teja Sreedhara
ERGONOMIC ASSESSMENT OF
WORKSTATION AND RULA ANALYSIS
OF EMPLOYEES AT JUMP TRADING
CENTER
Under the guidance of
-Dr. R. Pope-Ford
Introduction and Background
 Cumulative trauma disorders
(CTDs) are injuries of the
musculoskeletal and nervous
systems .
 caused by repetitive tasks,
forceful exertions, vibrations,
mechanical compression. CTDs
are also called as repetitive
motion disorders (RMDs).
 our study on CTDs ,is conducted
in JUMP trading simulation and
education center, Peoria.
JUMP TRADING SIMULATION
• Formed by the collaboration of OSF health care and university of Illinois
college of medicine
• Deals with the simulation education and as well as research programs.
• JUMP is having three types of workstation designs:
 Tree Arch design
 Fish Bowl design
 Open Island design
• The designs are distinguished based on the type of alignment of the work
stations, on the seating of the employees.
• initiated these three designs to check for the comfort of the employees
Objective:
To check for the
 Influence of the work station and work performed by the employee
causing CTDs.
 To control the risk factors in the work environment
Methodology:
To understand about the extent of CTDs in the employees we use,
 RULA (Rapid Upper Limb Assessment)
 McCauley- Bush Fuzzy Rating Scale for Evaluation of Cumulative
Trauma Disorder Risk
RISK FACTORS:
 Level of CTDs are found based on survey
conducted on different risk factors and the
risk factors are as follows
 Task-Related Risk Factors
 Personal Risks
 Organizational Risk Factors
 These risk factors are found by
interviewing employees and they are noted
based on their intensities.
CALCULATIONS
 Task-Related Risk:
R1 = F(T) = a1w1 + a2w2+ a3w3 + a4w4 + a5w5 + a6w6
 Personal Risk:
R2 = F(P) = b1x1+ b2x2+ b3x3+ b4x4 + b5x5 + b6x6
 Organizational Risk:
R3 = F(O) = c1y1 + c2y2 + c3y3 + c4y4 + c5y5 + c6y6
 The final calculations are calculated based on module risk for
comparison of the results of various employees
Z = d1R1 + d2R2 + d3R3
TASK RELATED RISK FACTORS:
Ranking Factor Relative Weight
1 Awkward joint posture 0.299
2 Repetition 0.189
3 Hand tool use 0.180
4 Force 0.125
5 Task duration 0.124
6 Vibration 0.083
PERSONAL RISK FACTORS:
Ranking Factor Relative Weight
1 Previous CTD 0.383
2 Hobbies and habits 0.223
3 Diabetes 0.170
4 Thyroid problems 0.097
5 Age 0.039
6 Arthritis 0.088
ORGANISATIONAL RISK FACTORS :
Ranking Factor Relative Weight
1 Equipment 0.346
2 Production rate/layout 0.249
3 Ergonomics program 0.183
4 Peer influence 0.065
5 Training 0.059
6 CTD level 0.053
7 Awareness 0.045
MODULE RISK FACTORS:
Ranking Module Relative Weight
1 Task 0.637
2 Personal 0.258
3 Organizational 0.105
RESULTS:
Risks/
Subject
Task-Related Risk
Personal Risk
Organizational Risk Z
Numeric Risk
Level
1 0.4183 0.2076 0.5331 0.3759 0.21-0.60
2 0.1224 0.1595 0.2868 0.1492 0.0-0.20
3 0.3048 0.34 0.5685 0.3415 0.21-0.40
4 0.3048 0.0524 0.4215 0.2519 0.21-0.40
Categorization of aggregate numeric risk
levels
Numeric Risk Level Expected Amount of Risk Associated with Numeric Value
0.00 - 0.20 Minimal risk: Individual should not be experiencing any conditions that indicated musculoskeletal
irritation
0.21 - 0.40 Some risk: may be in the very early stages of
CTD development. Individual may experience irregular irritation but is not expected to experience
regular
musculoskeletal irritation
0.41 - 0.60 Average risk: Individual may experience minor musculoskeletal irritation on a regular but not excessive
irritation
0.61 - 0.80 High risk: Individual is expected to be experiencing regular minor or major
musculoskeletal irritation
0.81 - 1.00 Very high risk: Individual is expected to presently experience ongoing or regular musculoskeletal
irritation and/or medical correction for the condition
RULA
 RULA was developed to evaluate the exposure of individual workers
to ergonomic risk factors associated with upper extremity MSD.
 The RULA ergonomic assessment tool considers biomechanical and
postural load requirements of job tasks/demands on the neck, trunk
and upper extremities.
 A single page worksheet is used to evaluate required body posture,
force, and repetition.
 After the data for each region is collected and scored, tables on the
form are then used to compile the risk factor variables, generating a
single score that represents the level of MSD risk.
 No need for an advanced degree in ergonomics or expensive
equipment
 Score will be assigned for each of the body regions: upper arm, lower
arm, wrist, neck, trunk, and legs.
RULA SCORE BEFORE SUGGESTION-EMPLOYEE(1)
RULA SCORE BEFORE SUGGESTION-
EMPLOYEE(2,3,4)
SUGGESTIONS:
 Works station
 Support pad for keyboard
 Rising desk for all employees
 Automation in simulation testing room
 Periodical breaks for the employees
 Posture foot stool
 Keep hydrated once in half an hour
 Sit up and stop slouching
RULA SCORE AFTER SUGGESTION- EMPLOYEE(1)
RULA SCORE AFTER SUGGESTION OF
EMPLOYEE(2,3,4):
FEMALE SUBJECT’S COMFORT LEVEL COMPARED
TO THE MALE SUBJECTS
0 0.2 0.4 0.6 0.8 1 1.2
Female
Female
Female
Male
Male
Comfort Level with the work station
Gender
Chart Title
0
1
2
3
4
5
6
7
0 1 2 3 4 5 6 7 8 9
PainDescription
Pain Description
Male vs Female
Female Male
 Female subjects are entitled to more pain when compared to male
subjects. This can be attributed to their comfort with the
workstation.
CONCLUSIONS:
 TREE ARCH configuration
 Regular interaction with ergonomist
 Important gears or accessories like Keyboard pad to comfort their
wrists, custom made chairs to support their lumbar system
 An eye protection screen to reduce any optical discomforts due to
long use of computers were suggested by the team
QUALITRICS:
 Qualtrics is a private
research software company.
 Qualtrics software enables users to
do many kinds of online data
collection[ and analysis including
market research, customer
satisfaction and loyalty, product
and concept testing, employee
evaluations and website feedback.
Ergonomic Assessment of Workstation and Rula Analysis of

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Ergonomic Assessment of Workstation and Rula Analysis of

  • 1. By: List the names of group members Chinmai Kethineni Saraswathi Guduri Shiva Teja Sepuri Sai Surya Teja Sreedhara ERGONOMIC ASSESSMENT OF WORKSTATION AND RULA ANALYSIS OF EMPLOYEES AT JUMP TRADING CENTER Under the guidance of -Dr. R. Pope-Ford
  • 2. Introduction and Background  Cumulative trauma disorders (CTDs) are injuries of the musculoskeletal and nervous systems .  caused by repetitive tasks, forceful exertions, vibrations, mechanical compression. CTDs are also called as repetitive motion disorders (RMDs).  our study on CTDs ,is conducted in JUMP trading simulation and education center, Peoria.
  • 3. JUMP TRADING SIMULATION • Formed by the collaboration of OSF health care and university of Illinois college of medicine • Deals with the simulation education and as well as research programs. • JUMP is having three types of workstation designs:  Tree Arch design  Fish Bowl design  Open Island design • The designs are distinguished based on the type of alignment of the work stations, on the seating of the employees. • initiated these three designs to check for the comfort of the employees
  • 4. Objective: To check for the  Influence of the work station and work performed by the employee causing CTDs.  To control the risk factors in the work environment Methodology: To understand about the extent of CTDs in the employees we use,  RULA (Rapid Upper Limb Assessment)  McCauley- Bush Fuzzy Rating Scale for Evaluation of Cumulative Trauma Disorder Risk
  • 5. RISK FACTORS:  Level of CTDs are found based on survey conducted on different risk factors and the risk factors are as follows  Task-Related Risk Factors  Personal Risks  Organizational Risk Factors  These risk factors are found by interviewing employees and they are noted based on their intensities.
  • 6. CALCULATIONS  Task-Related Risk: R1 = F(T) = a1w1 + a2w2+ a3w3 + a4w4 + a5w5 + a6w6  Personal Risk: R2 = F(P) = b1x1+ b2x2+ b3x3+ b4x4 + b5x5 + b6x6  Organizational Risk: R3 = F(O) = c1y1 + c2y2 + c3y3 + c4y4 + c5y5 + c6y6  The final calculations are calculated based on module risk for comparison of the results of various employees Z = d1R1 + d2R2 + d3R3
  • 7. TASK RELATED RISK FACTORS: Ranking Factor Relative Weight 1 Awkward joint posture 0.299 2 Repetition 0.189 3 Hand tool use 0.180 4 Force 0.125 5 Task duration 0.124 6 Vibration 0.083
  • 8. PERSONAL RISK FACTORS: Ranking Factor Relative Weight 1 Previous CTD 0.383 2 Hobbies and habits 0.223 3 Diabetes 0.170 4 Thyroid problems 0.097 5 Age 0.039 6 Arthritis 0.088
  • 9. ORGANISATIONAL RISK FACTORS : Ranking Factor Relative Weight 1 Equipment 0.346 2 Production rate/layout 0.249 3 Ergonomics program 0.183 4 Peer influence 0.065 5 Training 0.059 6 CTD level 0.053 7 Awareness 0.045
  • 10. MODULE RISK FACTORS: Ranking Module Relative Weight 1 Task 0.637 2 Personal 0.258 3 Organizational 0.105
  • 11. RESULTS: Risks/ Subject Task-Related Risk Personal Risk Organizational Risk Z Numeric Risk Level 1 0.4183 0.2076 0.5331 0.3759 0.21-0.60 2 0.1224 0.1595 0.2868 0.1492 0.0-0.20 3 0.3048 0.34 0.5685 0.3415 0.21-0.40 4 0.3048 0.0524 0.4215 0.2519 0.21-0.40
  • 12. Categorization of aggregate numeric risk levels Numeric Risk Level Expected Amount of Risk Associated with Numeric Value 0.00 - 0.20 Minimal risk: Individual should not be experiencing any conditions that indicated musculoskeletal irritation 0.21 - 0.40 Some risk: may be in the very early stages of CTD development. Individual may experience irregular irritation but is not expected to experience regular musculoskeletal irritation 0.41 - 0.60 Average risk: Individual may experience minor musculoskeletal irritation on a regular but not excessive irritation 0.61 - 0.80 High risk: Individual is expected to be experiencing regular minor or major musculoskeletal irritation 0.81 - 1.00 Very high risk: Individual is expected to presently experience ongoing or regular musculoskeletal irritation and/or medical correction for the condition
  • 13. RULA  RULA was developed to evaluate the exposure of individual workers to ergonomic risk factors associated with upper extremity MSD.  The RULA ergonomic assessment tool considers biomechanical and postural load requirements of job tasks/demands on the neck, trunk and upper extremities.  A single page worksheet is used to evaluate required body posture, force, and repetition.  After the data for each region is collected and scored, tables on the form are then used to compile the risk factor variables, generating a single score that represents the level of MSD risk.
  • 14.  No need for an advanced degree in ergonomics or expensive equipment  Score will be assigned for each of the body regions: upper arm, lower arm, wrist, neck, trunk, and legs.
  • 15. RULA SCORE BEFORE SUGGESTION-EMPLOYEE(1)
  • 16. RULA SCORE BEFORE SUGGESTION- EMPLOYEE(2,3,4)
  • 17. SUGGESTIONS:  Works station  Support pad for keyboard  Rising desk for all employees  Automation in simulation testing room  Periodical breaks for the employees  Posture foot stool  Keep hydrated once in half an hour  Sit up and stop slouching
  • 18. RULA SCORE AFTER SUGGESTION- EMPLOYEE(1)
  • 19. RULA SCORE AFTER SUGGESTION OF EMPLOYEE(2,3,4):
  • 20. FEMALE SUBJECT’S COMFORT LEVEL COMPARED TO THE MALE SUBJECTS 0 0.2 0.4 0.6 0.8 1 1.2 Female Female Female Male Male Comfort Level with the work station Gender Chart Title
  • 21. 0 1 2 3 4 5 6 7 0 1 2 3 4 5 6 7 8 9 PainDescription Pain Description Male vs Female Female Male  Female subjects are entitled to more pain when compared to male subjects. This can be attributed to their comfort with the workstation.
  • 22. CONCLUSIONS:  TREE ARCH configuration  Regular interaction with ergonomist  Important gears or accessories like Keyboard pad to comfort their wrists, custom made chairs to support their lumbar system  An eye protection screen to reduce any optical discomforts due to long use of computers were suggested by the team
  • 23. QUALITRICS:  Qualtrics is a private research software company.  Qualtrics software enables users to do many kinds of online data collection[ and analysis including market research, customer satisfaction and loyalty, product and concept testing, employee evaluations and website feedback.