Please do not give solution in image format thanku 0.070.060.050.040.030.020.010% Defective SPC Chart1 2 3 4 5 6 7 8 9 10Sample Number<-UCL-LCL--% defective-MeanRefer to the SPC % defective chart: Based on the principles of out of control patterns that wecovered inO The process is out of control because of instabilityO The process is out of control because of a certain number of points in an outer 2/3O The process is out of control because of too many points hugging the meanO The process is out of control because of a certain number of points in an inner 1/3O The process is out of control because of too many points on one side of the mean

The above chart is a Statistical Process Control Chart(SPC) which is depicting the percentage of…

Refer to the SPC % defective chart: Based on the principles of out of control patterns that we covered in The process is out of control because of instability The process is out of control because of a certain number of points in an outer 2/3 The process is out of control because of too many points hugging the mean The process is out of control because of a certain number of points in an inner 1/3 The process is out of control because of too many points on one side of the mean

Refer to the SPC % defective chart: Based on the principles of out of control patterns that we covered in The process is out of control because of instability The process is out of control because of a certain number of points in an outer 2/3 The process is out of control because of too many points hugging the mean The process is out of control because of a certain number of points in an inner 1/3 The process is out of control because of too many points on one side of the mean

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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Five data entry operators work at the data processing department of the Birmingham Bank. Each day for 30 days, the number of defective records in a sample of 250 records typed by these operators has been noted, as follows: Sample No. 12 2 3 4 5 6 7 8 9 10 No. Defectives 8 5 18 9 18395 10 14 Sample No. 11 12 13 14 15 16 17 18 19 20 No. Defectives 7 4 a) Establish 30 upper and lower control limits. 54697496 15 10 11 19 16 Sample No. 21 222222NERS 23 24 25 26 27 28 29 30 No. Defectives 16 12 8726668 12 11 13 6, 12 UCLp = (enter your response as a number between 0 and 1; rounded to three decimal places).
Random variation is also known as common cause variation, a. FALSE bTRUE
For the following data, construct a fraction defective chart by using 3 sigma. Is the process under control? NO. OF DEFECTIVES GROUP SAMPLE SIZE 160 22 2 160 27 3 250 27 4 250 22 5 160 17 400 32 250 22 8 250 22 9. 160 22 10 16 17 11 400 37 12 400 27 3.
We want to determine the AOQ for an acceptance samplingplan when the quality of the incoming lots in percent defectiveis 1.5%, and then again when the incoming percent defective is 5%.T he sample size is 80 units for a lot size of 550 units. Furthermore,Pa at 1.5% defective levels is 0.95. At 5% incoming defective levels,the Pa is found to be 0.5. Determine the average outgoing qualityfor both incoming percent defective levels.
Explain how a person using 2-sigma control charts will more easily find samples “out of bounds” than 3-sigma control charts. What are some possible consequences of this fact?
6 of 11 5 3. The manager of a building-supplies company randomly samples incoming lumber to see whether it meets quality specifications. From each shipment, 100 pieces of 2 x 4 lumber are inspected and judged according to whether they are first (acceptable) or second (defective) grade. The proportions of second-grade 2 x 4s recorded for 30 shipments were as follows: a. Construct a control chart for the proportion of second-grade 2 x 4s in samples of 100 pieces of lumber. b. Explain how the control chart can be of use to the manager of the building supplies company. Shipment No. Proportion of second grade 1 0.14 2 0.22 3 0.21 4 0.15 0.19 0.26 7 0.18 8 0.22 9 0.23 10 0.21 11 0.2 12 0.14 13 0.25 14 0.2 15 0.19 16 0.18 17 0.22 18 0.22 19 0.17 20 0.21 21 0.21 22 0.13 23 0.15 24 0.2 25 0.23 26 0.23 27 0.12 28 0.19 29 0.19 30 0.26
Ten samples of 15 parts each were taken from an ongoing process to establish a p-chart for control. The samples and the number of defectives in each are shown in the following table. SAMPLE LNMAS6789G 1 2 3 4 5 10 n 15 р Sp UCL LCL S555555555 15 15 15 15 15 15 15 15 15 NUMBER OF DEFECTIVE ITEMS IN THE SAMPLE 2 WONW/wwwON 3 3 3 1 3 2 0 3 a. Determine the p, Sp, UCL and LCL for a p-chart of 95 percent confidence (1.96 standard deviations). (Leave no cells blank. Round up any negative LCL value to "O". Round your answers to 3 decimal places.) 0.133 0.088 0.305 (0.039) b. What comments can you make about the process? O Process is out of statistical control ● Process is in statistical control
Discuss the key differences between common and assignable causes of variation. Give examples.
Organic Grains LLC uses statistical process control to ensure that its health-conscious, low-fat, multigrain sandwich loaves have the proper weight. Based on a previously stable and in-control process, the control limits of the x- and R-charts are: UCL-4.86, LCL- = 4.52, UCLR=1.344, LCLR = 0. Over the past few days, they have taken five random samples of four loaves each and have found the following: Based on the x-chart, is one or more samples beyond the control limits? Sample 1 2 3 4 5 Yes No Loaf # 1 4.8 4.4 4.5 4.6 5.0 Net Weight Loaf # 2 4.7 4.8 4.5 4.9 4.8 Loaf # 3 5.0 4.7 4.9 4.7 4.7 Loaf # 4 4.7 4.8 4.6 4.5 4.6
6-9. A process that produces computer chips has a mean of .04 defective chip and a standard deviation of .003 chip. The allowable variation is from .03 to .05 defective. (a) Compute the capability index for the process (b) Is the process capable?
Establish the control limits to include 99.73% of the random variation in defectives. LCL = ?
Boxes of Honey-Nut Oatmeal are produced tocontain 14 ounces, with a standard deviation of .1 ounce. Setup the 3-sigma x-chart for a sample size of 36 boxes.