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Operations Management Supplement 10 –  Work Measurement PowerPoint presentation to accompany  Heizer/Render  Principles of Operations Management, 7e Operations Management, 9e
Labor Standards and Work Measurement ,[object Object],[object Object],[object Object],[object Object]
Meaningful Standards Help Determine ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Labor Standards May be set in four ways: ,[object Object],[object Object],[object Object],[object Object]
Historical Experience ,[object Object],[object Object],[object Object],[object Object],[object Object]
Time Studies ,[object Object],[object Object],[object Object]
Time Studies ,[object Object],[object Object],[object Object],[object Object]
Time Studies ,[object Object],[object Object],Average observed time Sum of the times recorded to perform each element Number of observations = Normal time =  x Average observed  time Performance rating factor
Time Studies ,[object Object],[object Object],Standard time = Total normal time 1 - Allowance factor
Rest Allowances ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Rest Allowances ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Figure S10.1
Rest Allowances ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Figure S10.1
Rest Allowances ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Figure S10.1
Rest Allowances ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Figure S10.1
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 Standard time =  =  = Normal time 1 - Allowance factor 3.4 1 - .13 3.4 .87 = 3.9 minutes
Time Study Example S2 Allowance factor = 15% ,[object Object],[object Object],Average time for A = (8 + 10 + 9 + 11)/4 = 9.5 minutes Average time for B = (2 + 3 + 2 + 1 + 3)/5 = 2.2 minutes Average time for C = (2 + 1 + 2 + 1)/4 = 1.5 minutes Performance Job Element 1 2 3 4 5 Rating ,[object Object],[object Object],[object Object],Cycle Observed (in minutes)
Time Study Example S2 ,[object Object],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 Normal time = (Average observed time) x (Rating) ,[object Object],Total normal time = 11.40 + 2.31 + 1.65 = 15.36 minutes
Time Study Example S2 ,[object Object],Standard time = Total normal time 1 - Allowance factor =  = 18.07 minutes 15.36 1 - .15
Determine Sample Size ,[object Object],[object Object],[object Object]
Determine Sample Size 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
Determine Sample Size Common z Values Table S10.1 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 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
Time Study Example S3 Desired accuracy with 5% Confidence level = 95% Sample standard deviation = 1.0 Sample mean = 3.00 n =  2 zs hx n =  = 170.74 ≈ 171 2 1.96 x 1.0 .05 x 3 h = .05 x = 3.00 s = 1.0 z = 1.96 (from Table S10.1 or Appendix I)
Time Study Example S3 Variations When the standard deviation s is not provided, it must be computed n =  2 zs e If desired accuracy h is expressed as an absolute amount, substitute e for hx, where e is the absolute amount of acceptable error s =  =  ∑ (x i  - x) 2 ∑ (Each sample observation - x) 2 n - 1 Number in sample - 1
Predetermined Time Standards ,[object Object],[object Object],[object Object],[object Object]
MTM Table Figure S10.2
MTM Example Weight - less than 2 pounds Conditions of GET - easy Place accuracy - approximate Distance range - 8 to 20 inches Table S10.2 Element Description Element Time Get tube from rack AA2 35 Get stopper, place on counter AA2 35 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
Work Sampling ,[object Object],[object Object],[object Object],[object Object]
Work Sampling ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Work Sampling ,[object Object],[object Object],[object Object],[object Object]
Work Sampling ,[object Object],[object Object],[object Object],[object Object],[object Object]
Work Sampling Determining the sample size 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 n = z 2  p(1 - p) h 2
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 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 = z 2  p(1 - p) h 2 n =  = 833 observations (2) 2  (.25)(.75) (.03) 2
Work Sampling Example All but idle and personal time are work related.  Percentage idle time = (126 + 62)/833 = 22.6%.  Since this is less than the target value of 25%, the workload needs to be adjusted. 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

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Heizer ch10 s

  • 1. Operations Management Supplement 10 – Work Measurement PowerPoint presentation to accompany Heizer/Render Principles of Operations Management, 7e Operations Management, 9e
  • 2.
  • 3.
  • 4.
  • 5.
  • 6.
  • 7.
  • 8.
  • 9.
  • 10.
  • 11.
  • 12.
  • 13.
  • 14.
  • 15. 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 Standard time = = = Normal time 1 - Allowance factor 3.4 1 - .13 3.4 .87 = 3.9 minutes
  • 16.
  • 17.
  • 18.
  • 19.
  • 20. Determine Sample Size 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
  • 21. Determine Sample Size Common z Values Table S10.1 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 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
  • 22. Time Study Example S3 Desired accuracy with 5% Confidence level = 95% Sample standard deviation = 1.0 Sample mean = 3.00 n = 2 zs hx n = = 170.74 ≈ 171 2 1.96 x 1.0 .05 x 3 h = .05 x = 3.00 s = 1.0 z = 1.96 (from Table S10.1 or Appendix I)
  • 23. Time Study Example S3 Variations When the standard deviation s is not provided, it must be computed n = 2 zs e If desired accuracy h is expressed as an absolute amount, substitute e for hx, where e is the absolute amount of acceptable error s = = ∑ (x i - x) 2 ∑ (Each sample observation - x) 2 n - 1 Number in sample - 1
  • 24.
  • 26. MTM Example Weight - less than 2 pounds Conditions of GET - easy Place accuracy - approximate Distance range - 8 to 20 inches Table S10.2 Element Description Element Time Get tube from rack AA2 35 Get stopper, place on counter AA2 35 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
  • 27.
  • 28.
  • 29.
  • 30.
  • 31. Work Sampling Determining the sample size 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 n = z 2 p(1 - p) h 2
  • 32. 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 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 = z 2 p(1 - p) h 2 n = = 833 observations (2) 2 (.25)(.75) (.03) 2
  • 33. Work Sampling Example All but idle and personal time are work related. Percentage idle time = (126 + 62)/833 = 22.6%. Since this is less than the target value of 25%, the workload needs to be adjusted. 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

Editor's Notes

  1. This slide provides some reasons that capacity is an issue. The following slides guide a discussion of capacity.
  2. 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.
  3. It might be useful at this point to discuss typical equipment utilization rates for different process strategies if you have not done so before.
  4. It might be useful at this point to discuss typical equipment utilization rates for different process strategies if you have not done so before.
  5. It might be useful at this point to discuss typical equipment utilization rates for different process strategies if you have not done so before.
  6. It might be useful at this point to discuss typical equipment utilization rates for different process strategies if you have not done so before.
  7. It might be useful at this point to discuss typical equipment utilization rates for different process strategies if you have not done so before.
  8. It might be useful at this point to discuss typical equipment utilization rates for different process strategies if you have not done so before.
  9. It might be useful at this point to discuss typical equipment utilization rates for different process strategies if you have not done so before.
  10. It might be useful at this point to discuss typical equipment utilization rates for different process strategies if you have not done so before.
  11. It might be useful at this point to discuss typical equipment utilization rates for different process strategies if you have not done so before.
  12. You might point out to students that this slide links capacity to work measurement (standard times).