A control chart is to be formed for a process in which laptops are produced. The inspection unit is one laptop and control chart for the number of defects are to be used. Preliminary data are recorded and 90 defects are found in 40 laptops. Obtain the value of UCL & LCL of c- chart? None of these options 4.24; +0.26 4.24; -0.26 6.75: -2.25

A control chart is to be formed for a process in which laptops are produced. The inspection unit is one laptop and control chart for the number of defects are to be used. Preliminary data are recorded and 90 defects are found in 40 laptops. Obtain the value of UCL & LCL of c- chart? None of these options 4.24; +0.26 4.24; -0.26 6.75: -2.25

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...

See similar textbooks

Similar questions

An Xbar control chart designed with L=3 and sample size n=4 has control limits UCL=342.05 and LCL=317.95. If the mean shifts to mu1=335 beta is found to be 0.9603. What would be the ARL1 after the mean shifts to mu1? 4.2 10.06 2.03 not enough information 25.22
DESIGNING A CONTROL CHART EXAMPLE Fujiyama Electronics, Inc. has been having difficulties with circuit boards purchased from an outside supplier. Unacceptable variability occurs between two drilled holes that are supposed to be 5 cm apart on the circuit boards. Thirty samples of 4 boards each were taken from shipments from the supplier as shown in the data listed below. Construct x and R charts for the process using the following data. DATA Sample No Samples 1 4.92 4.26 4.94 4.29 2 4.65 5.54 5.00 5.42 3 5.77 5.26 4.76 4.79 4 6.25 4.88 5.66 4.44 5 5.27 5.41 6.02 4.91 6 5.22 5.38 5.08 4.65 7 5.47 4.68 4.56 4.70 8 5.71 4.54 4.17 4.87 9 5.24 5.58 4.72 5.41 10 4.42 5.18 4.79 4.73 11 5.14 4.26 4.71 5.48 12 4.92 5.78 5.50 5.05 13 5.79 3.83 4.30 4.78 14 4.92 4.80 4.75 5.59 15 5.68…
Control charts for X-bar and R are maintained for the tensile strength of fibers used in composite materials. The specifications are 440+40. After 36 samples of size n=7 are analyzed, we find that: 36 36 X¡ = 12,870 Ri = 1,350 i=1 What are the limits of the X-bar chart? UCL=442.86 and LCL=415.14 UCL=531.43 and LCL=498.17 UCL=415.18 and LCL=389.19 UCL=373.21 and LCL=341.79 UCL=335.89 and LCL=307.61
Five data entry operators work at the data process-ing department of the Birmingham Bank. Each day for 30 days, the number of defective records in a sample of 250 records typedby these operators has been noted, as follows: a) Establish 3s upper and lower control limits.b) Why can the lower control limit not be a negative number? c) The industry standards for the upper and lower control lim-its are 0.10 and 0.01, respectively. What does this imply about Birmingham Bank’s own standards?
Management at Webster Chemical Company is concerned as to whether caulking tubes are being properly capped. If a significant proportion of the tubes are not being sealed, Webster is placing its customers in a messy situation. Tubes are packaged in large boxes of 135. Several boxes are inspected, and the following numbers of leaking tubes are found: View an example Sample 1 2 3 Get more help. 4 Tubes 7 7 8 5 1 5 6 7 Calculate p-chart three-sigma control limits to assess whether the capping process is in statistical control. The UCL, equals 1 Sample 8 8 9 10 11 12 13 14 Tubes 7 2 4 8 6 9 MacBook Pro 3 Sample 15 16 17 18 19 20 Total Tubes 8 3 3 5 and the LCL equals (Enter your responses rounded to three decimal places. If your answer for LCL, is negative, enter this value as 0.) 3 6 104 Clear all Check answer O
2. x and R charts with n = 4 are used to monitor a normally distributed quality characteristic. The control chart parameters are x Chart R Chart UCL = 815 UCL = 46.98 %3D Center line = 800 Center line = 20.59 LCL = 785 LCL = 0 Both charts exhibit control. What is the probability that a shift in the process mean to 790 will be detected on the first sample following the shift? Please show all your work for full credit.
Do control charts assist in monitoring quality as conformance or quality as improvement?
A shirt manufacturer buys cloth by the 100-yard roll from a supplier. For setting up a control chart to manage the irregularities (e.g., loose threads and tears), the following data were collected from a sample provided by the supplier. SAMPLE 1 2 3 4 5 6 7 8 9 10 IRREGULARITIES 3 5 2 6 5 4 6 3 4 5 Determine the c¯�¯ , Sc�� , UCL and LCL for a c-chart with z = 2. Note: Round your answers to 2 decimal places. Suppose the next five rolls from the supplier had three, two, five, three, and seven irregularities. Is the supplier process under control? multiple choice Yes No
concernedas to whether caulking tubes are being properly capped. Ifa significant proportion of the tubes are not being sealed,Webster is placing its customers in a messy situation.Tubes are packaged in large boxes of 144. Several boxes areinspected, and the following numbers of leaking tubes arefound: Calculate p-chart three-sigma control limits to assesswhether the capping process is in statistical control.
We have taken 12 samples of 400 book pages found the following proportions of defective pages: .01, .02, .02, .00, .01, .03, .02, .01, .00, .04, .03, and .02. A page is considered defective when one or more errors are detected.a. Calculate the control limits for a p control chart.b. A new sample of 400 pages is taken, and 6 pages are defective.Is the process still in control?
The percent defective from an incoming lot is 3%. AnOC curve showed the probability of acceptance to be 0.55. Given a lot size of 2,000 and a sample of 100, determine the average out-going quality in percent defective.
Control charts for X̅and R are maintained on the outside diameter of a shaft.The subgroup size is 04. After 20 subgroups ∑ X̅= 43.75 and ∑R = 0.286. The specificationof the product is 2.15±0.02 unit. Products falling above and below the specification limitare rejected. The process is statistical controlled and normally distributed. Find the controllimits for X̅and R charts, Process capability, RPI of the process and % rejection. How toreduce the % of rejection if any?