sampled weekly to check the performance quality of the department. To establish a entative norm for the department, one sample of 1000 units was collected each week for 10 weeks, with these results: Sample Sample Size Number of Forms with Error Week-1 1000 74 Week-2 1000 42 Week-3 64 Week-4 84 40 50 1000 1000 Week-5 1000 Week-6 1000 Week-7 1000 Week-8 1000 Week-9 1000 Week-10 1000 10000 65 66 40 75 600 1) Develop upper and lower control limits for p-Chart using a 99.7% confidence nterval. ) Is the process under control? Why yes? Why Not?

sampled weekly to check the performance quality of the department. To establish a entative norm for the department, one sample of 1000 units was collected each week for 10 weeks, with these results: Sample Sample Size Number of Forms with Error Week-1 1000 74 Week-2 1000 42 Week-3 64 Week-4 84 40 50 1000 1000 Week-5 1000 Week-6 1000 Week-7 1000 Week-8 1000 Week-9 1000 Week-10 1000 10000 65 66 40 75 600 1) Develop upper and lower control limits for p-Chart using a 99.7% confidence nterval. ) Is the process under control? Why yes? Why Not?

Practical Management Science

6th Edition

ISBN:9781337406659

Author:WINSTON, Wayne L.

Publisher:WINSTON, Wayne L.

Chapter2: Introduction To Spreadsheet Modeling

Section: Chapter Questions

Problem 20P: Julie James is opening a lemonade stand. She believes the fixed cost per week of running the stand...

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b) The data in Table 4(b) shows the number of nonconforming ties in a sample of size 500, following 100% inspection, over 20 days; Number of Day Nonconformities 1 13 10 25 4 12 12 6. 9 7 11 8. 13 9. 11 10 16 11 13 12 10 13 14 14 15 15 10 16 17 17 18 12 19 12 20 13 Table 4(b) Page 6 of 8 i. Calculate the UCL and LCL for this data ii. Plot a fraction non-conforming control chart for the data. If there are any points that plot outside of the control limits, assume assignable causes can be found and recalculate the limits. ii.
Q3 Following is the number of defects in daily samples (n=100) in January. Create the P and C charts and decide if the process is in control. Sample Day Number of Defects Sample Day Number of Defects i Xi i Xi 6. 8. 1 16 6. 2 17 4 3 8. 18 6. 4 13 19 8. 6. 6. 9. 20 2 6. 21 7 7 22 4 8. 7 23 4 9. 1 24 10 8. 25 1 11 26 12 2 27 15 13 4 28 1 14 29 4 15 4 30 1 31 5
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State and explain the purpose if acceptance sampling in managing quality ?
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What 2 basic assumptions must be sati-sfied in order to use a process capability index?
Explain why is order of observation important in process control ?
8. Given the following data for the number of defects per spool of cable, using three-sigma limits, is the process in control? OBSERVATION 1 2 3 4 5 7 8 9 11 12 13 Number of defects 2 3 1 0 1 2 0 2 3 1 2 6 3 10 1 14 0
In a fabric manufacturing factory, the quality control process using control charts from SPC. In an hour there are a total of 5 samples are taken each having 4 observations regarding the thickness of fabric in measured in millimeters. In a particular hour, the sample means (X-bar) are noted to be: 172.11,219.58, 208.24, 112.44, and 123.30 respectively. In the same sample, the corresponding ranges are: 13.17, 13.38, 15.34, 13.04, and 13.02 respectively What are the lower and upper control limits for the R chart? O a. 0,31.47 O b. 0,30.99 Oc. None is correct O d. 0,29.17 O e. 0,31.17 O f. 0,28.17
What are major concerns one considers when obtaining “representative samples”?
Answer quickly please ?
Hermitage DNA Labs, LLC collected temperature readings in an analysis process. The data can be found in the Problems Data Compute the mean and range of each sample and calculate control limits for x-bar and R charts using the appropriate From the charts constructed, does the process appear to be in statistical control?