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Work Study Work Measurement.

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Presentation on theme: "Work Study Work Measurement."— Presentation transcript:

1 Work Study Work Measurement

2 Outline Labor Standards and Work Measurement Historical Experience
Time Studies Predetermined Time Standards Work Sampling 2

3 Labor Standards and Work Measurement
Started early in the 20th century Important to both manufacturing and service organizations Necessary for determining staffing requirements Important to labor incentive systems This slide provides some reasons that capacity is an issue. The following slides guide a discussion of capacity. 3

4 Meaningful Standards Help Determine
Labor content of items produced Staffing needs Cost and time estimates Crew size and work balance Expected production Basis of wage incentive plans Efficiency of employees This slide can be used to frame a discussion of capacity. Points to be made might include: - capacity definition and measurement is necessary if we are to develop a production schedule - while a process may have “maximum” capacity, many factors prevent us from achieving that capacity on a continuous basis. Students should be asked to suggest factors which might prevent one from achieving maximum capacity. 4

5 Labor Standards May be set in four ways: Historical experience
Time studies Predetermined time standards Work sampling

6 Historical Experience
How the task was performed last time Easy and inexpensive Data available from production records or time cards Data is not objective and may be inaccurate Not recommended

7 Time Studies Involves timing a sample of a worker’s performance and using it to set a standard Requires trained and experienced observers Cannot be set before the work is performed

8 Time Studies Define the task to be studied
Divide the task into precise elements Decide how many times to measure the task Time and record element times and rating of performance

9 Time Studies Compute average observed time
Sum of the times recorded to perform each element Number of observations = Determine performance rating and normal time Normal time = x Average observed time Performance rating factor

10 Time Studies Add the normal times for each element to develop the total normal time for the task Compute the standard time Standard time = Total normal time 1 - Allowance factor

11 Rest Allowances Personal time allowance Delay allowance
4% - 7% of total time for use of restroom, water fountain, etc. Delay allowance Based upon actual delays that occur Fatigue allowance Based on our knowledge of human energy expenditure

12 Rest Allowances 1. Constant allowance
(A) Personal allowance ……………... 5 (B) Basic fatigue allowance ………… 4 2. Variable allowances: (A) Standing allowance ……………… 2 (B) Abnormal position (i) Awkward (bending) ………… 2 Very awkward (lying, stretching) …………………… 7 Figure S10.1

13 Rest Allowances Use of force or muscular energy in lifting, pulling, pushing Weight lifted (pounds) 20 …………………………………… 3 40……………………………………. 9 60……………………………………. 17 Bad light: Well below recommended…. 2 Quite inadequate……………. 5 Figure S10.1

14 Rest Allowances (E) Atmospheric conditions (heat and humidity) …………… 0-10 Close attention: (i) Fine or exacting……………….. 2 (ii) Very fine or very exacting…… 5 Noise level: (i) Intermittent—loud…………….. 2 (ii) Intermittent—very loud or high-pitched………………... 5 Figure S10.1

15 Rest Allowances Mental strain:
(i) Complex or wide span of attention.…………………….. 4 (ii) Very complex………………….. 8 Tediousness: (i) Tedious…………..……………… 2 (ii) Very tedious.…………………… 5 Figure S10.1

16 Time Study Example S1 Average observed time = 4.0 minutes
Worker rating = 85% Allowance factor = 13% Normal time = (Average observed time) x (Rating factor) = (4.0)(.85) = 3.4 minutes It might be useful at this point to discuss typical equipment utilization rates for different process strategies if you have not done so before. Standard time = = = Normal time 1 - Allowance factor 3.4 .87 = 3.9 minutes 16

17 Time Study Example S2 Allowance factor = 15%
Performance Job Element Rating Compose and type letter * % Type envelope address % Stuff, stamp, seal, and 2 1 5* % sort envelopes Cycle Observed (in minutes) It might be useful at this point to discuss typical equipment utilization rates for different process strategies if you have not done so before. Delete unusual or nonrecurring observations (marked with *) Compute average times for each element Average time for A = ( )/4 = 9.5 minutes Average time for B = ( )/5 = 2.2 minutes Average time for C = ( )/4 = 1.5 minutes 17

18 Time Study Example S2 Compute the normal time for each element
Normal time = (Average observed time) x (Rating) Normal time for A = (9.5)(1.2) = 11.4 minutes Normal time for B = (2.2)(1.05) = 2.31 minutes Normal time for C = (1.5)(1.10) = 1.65 minutes It might be useful at this point to discuss typical equipment utilization rates for different process strategies if you have not done so before. Add the normal times to find the total normal time Total normal time = = minutes 18

19 Time Study Example S2 15.36 = = 18.07 minutes 1 - .15
Compute the standard time for the job Standard time = Total normal time 1 - Allowance factor = = minutes 15.36 It might be useful at this point to discuss typical equipment utilization rates for different process strategies if you have not done so before. 19

20 Determine Sample Size How accurate we want to be
The desired level of confidence How much variation exists within the job elements It might be useful at this point to discuss typical equipment utilization rates for different process strategies if you have not done so before. 20

21 Determine Sample Size zs hx Required sample size = n =
2 zs hx where h = accuracy level desired in percent of the job element expressed as a decimal z = number of standard deviations required for the desired level of confidence s = standard deviation of the initial sample x = mean of the initial sample n = required sample size It might be useful at this point to discuss typical equipment utilization rates for different process strategies if you have not done so before. 21

22 Determine Sample Size zs hx Required sample size = n = Common z Values
2 zs hx Common z Values Desired Confidence (%) z Value (standard deviation required for desired level of confidence) 90.0 1.65 95.0 1.96 95.45 2.00 99.0 2.58 99.73 3.00 where h = accuracy level desired in percent of the job element expressed as a decimal z = number of standard deviations required for the desired level of confidence s = standard deviation of the initial sample x = mean of the initial sample n = required sample size It might be useful at this point to discuss typical equipment utilization rates for different process strategies if you have not done so before. Table S10.1 22

23 Time Study Example S3 Desired accuracy with 5% Confidence level = 95%
Sample standard deviation = 1.0 Sample mean = 3.00 h = .05 x = 3.00 s = 1.0 z = 1.96 (from Table S10.1 or Appendix I) n = 2 zs hx It might be useful at this point to discuss typical equipment utilization rates for different process strategies if you have not done so before. n = = ≈ 171 2 1.96 x 1.0 .05 x 3 23

24 Time Study Example S3 Variations
If desired accuracy h is expressed as an absolute amount, substitute e for hx, where e is the absolute amount of acceptable error n = 2 zs e It might be useful at this point to discuss typical equipment utilization rates for different process strategies if you have not done so before. When the standard deviation s is not provided, it must be computed s = = ∑(xi - x)2 ∑(Each sample observation - x)2 n - 1 Number in sample - 1 24

25 New Tools With PDA software, you can study elements, time, performance rate, and statistical confidence intervals can be created, edited, managed, and logged Reduces or eliminates the need for data entry It might be useful at this point to discuss typical equipment utilization rates for different process strategies if you have not done so before. 25

26 Predetermined Time Standards
Divide manual work into small basic elements that have established times Can be done in a laboratory away from the actual production operation Can be set before the work is actually performed No performance ratings are necessary You might point out to students that this slide links capacity to work measurement (standard times). 26

27 MTM Table Figure S10.2

28 .0006 x 238 = Total standard minutes = .14
MTM Example Weight - less than 2 pounds Conditions of GET - easy Place accuracy - approximate Distance range - 8 to 20 inches Element Description Element Time Get tube from rack AA2 35 Get stopper, place on counter Get centrifuge tube, place at sample table AD2 45 Pour (3 seconds) PT 83 Place tubes in rack (simo) PC2 40 Total TMU 238 .0006 x 238 = Total standard minutes = .14 Table S10.2

29 Work Sampling Estimates percent of time a worker spends on various tasks Requires random observations to record worker activity Determines how employees allocate their time Can be used to set staffing levels, reassign duties, estimate costs, and set delay allowances

30 Work Sampling Advantages of work sampling
Less expensive than time study Observers need little training Studies can be delayed or interrupted with little impact on results Worker has little chance to affect results Less intrusive

31 Work Sampling Disadvantages of work sampling
Does not divide work elements as completely as time study Can yield biased results if observer does not follow random pattern Less accurate, especially when job element times are short

32 Work Sampling Take a preliminary sample to obtain estimates of parameter values Compute the sample size required Prepare a schedule for random observations at appropriate times Observe and record worker activities Determine how workers spend their time

33 Work Sampling Determining the sample size z2 p(1 - p) h2 n =
where n = required sample size z = standard normal deviate for desired confidence level p = estimated value of sample proportion h = acceptable error level in percent

34 Work Sampling Example Wants employees idle 25% of the time
Sample should be accurate within 3% Wants to have 95.45% confidence in the results n = z2 p(1 - p) h2 where n = required sample size z = 2 for a 95.45% confidence level p = estimate of idle proportion = 25% = .25 h = acceptable error of 3% = .03 n = = 833 observations (2)2 (.25)(.75) (.03)2

35 Work Sampling Example All but idle and personal time are work related.
No. of Observations Activity 485 On the phone or meeting with a welfare client 126 Idle 62 Personal time 23 Discussions with supervisor 137 Filing, meeting, and computer data entry 833 All but idle and personal time are work related. Percentage idle time = ( )/833 = 22.6%. Since this is less than the target value of 25%, the workload needs to be adjusted.

36 Work Sampling Time Studies
Salespeople Sales in person 20% Travel 20% Telephone sales 12% Paperwork 17% Lunch and personal 10% Telephone within firm 13% Meetings and other 8% Figure S10.3 36

37 Work Sampling Time Studies
Startup/pep talk 3% Assembly-Line Employees Breaks and lunch 10% Dead time between tasks 13% Productive work 67% Unscheduled tasks and downtime 4% Cleanup 3% Figure S10.3 37


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