Numerical problems on Quality Control Date: 01-04-2022 Summary of formulas Source: Stevenson Problem 1 Twenty-five engine mounts are sampled each day and found to have an average width of 2 inches, with a standard deviation of 0.1 inches. What are the control limits that include 99.73% of the sample means? Solution1: 25 2 0.06 2.06 inches 25 2 0.06 1.94 inches UCLX X Z X 2 3 0.1 LCLX X Z X 2 3 0.1 Problem 2: Several samples of size n = 8 have been taken from the production of fence posts. The average post was 3 yards in length and the average sample range was 0.015 yard. Find the 99.73% upper and lower control limits. Sol. 2: X 3 yds R 0.015 yds A2 = 0.373 from Table 10.3 UCL X A2 R 3 0.373(0.015) 3.006 yds LCL X A2 R 3 0.373(0.015) 2.994 yds Problem 3: The average range of a process is 10 lbs. The sample size is 10. Use Table 10.3 to develop upper and lower control limits on the range. Sol. 3: From Table 10.3, D4 = 1.78 and D3 = 0.22 UCLR D4 R (1.78)(10) 17.8 lbs LCLR D3 R (0.22)(10) 2.2 lbs Problem 4: Based on samples of 20 IRS auditors, each handling 100 files, we find that the total number of mistakes in handling files is 220. Find the 95.45% upper and lower control limits. Sol. 4: Total number of mistakes 220 P 0.11 Total number of files (100)(20) P (011 . )(1 011 . ) 0.03 100 UCLP P z P 0.11 (2)(0.03) 0.17 LCLP P Z P 0.11 (2)(0.03) 0.05 Problem 5: There have been complaints that the sports page of the Dubuque Register has lots of typos. The last 6 days have been examined carefully and the number of typos/page is recorded below. Is the process in control using Z = 2? Day Number of Typos Monday Tuesday Wednesday Thursday Friday Saturday 2 1 5 3 4 0 Sol. 5: C 15 6 2.5 UCLC C 2 2.5 2.5 2(1.58) 5.66 LCLC C 2 2.5 2.5 2(1.58) 0.66 (or 0) As none of the observations are outside the control limits, the process is in statistical control. However, it might be a worthwhile effort to investigate why no typos were made on Saturday. We would like to better understand this effort so it can be repeated on other days. Determine which of the processes are capable. Proce ss Mea n Standard deviation Lower specific ation Higher specific ation 1 8 0.20 7 9 2 10 0.25 9 12 3 7.5 0.30 6 8 4 9 0.30 8 10 Proce ss Mean 1 2 3 4 8 10 7.5 9 Standar d deviati on 0.20 0.25 0.30 0.30 Lower specifica tion 7 9 6 8 Me an che ck 8 10.5 7 9 Higher specifica tion 9 12 8 10 Process mean is centred between USL & LSL for processes 1 & 4 but not for processes 2 &3. Process 1 : Cp =9-76(0.20) = 1.67; Process 2: Cpk =Smaller of 12-103(0.25) = 2.67 & 10-93(0.25) = 1.33 Process 3: Cpk =Smaller of 3(0.30) = 0.67 & Process 4 : Cp = 6(0.30) = 1.11 So, processes 1 & 2 only are capable as in order to be capable, Cp & Cpk must be at least 1.33 3(0.30) = 1.67