The failure rate of a machine is 1.5%. (a) Compute upper and lower control chart limits with 3 o limit and sample size is 100. (b) Compute upper and lower control chart limits with 3 o limit and sample size is 50. (c) Compute upper and lower control chart limits with 2 o limit and sample size is 100. (d) Compute upper and lower control chart limits with 2 o limit and sample size is 50. (e) Discuss the pattern that you observe in the results you obtained.

The failure rate of a machine is 1.5%. (a) Compute upper and lower control chart limits with 3 o limit and sample size is 100. (b) Compute upper and lower control chart limits with 3 o limit and sample size is 50. (c) Compute upper and lower control chart limits with 2 o limit and sample size is 100. (d) Compute upper and lower control chart limits with 2 o limit and sample size is 50. (e) Discuss the pattern that you observe in the results you obtained.

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

What are the different quality characteristics you (as a con-sumer) would expect to find in the following three prod-ucts: a DVD player, a pizza, running shoes?
The upper and lower specification limits for a component are 5.20, and 5.30 ounces, respectively. The process standard deviation is .05, and the process average is 5.24 ounces. a) Calculate Cpk. (Show formula and calculations) b) Does the process posses six sigma capability? Why or Why not? Please explain.
1. You are an engineer working for New House Furniture Ltd, specialist in furniture manufacturing. Recently customers are returning the chairs within the warranty period as they are not happy with the product, without clear problem defined. Your task is to apply Six Sigma DMAIC method to the process of Chair Manufacturing (showing in the diagram below) to identify the tope reason for product returns and improve the quality. Driina * FIxture 1247-14 Venty pans & counts via temp ale 2910 insoect wood per Ri pian 760-11A program DFA 3 Receive Wood & CNC Cutting & Edge Routing Assemble Leg Supports Pre- Start Drilling Hardware Hardw are on no- RWork ASM Work Instructions anspeci status instrucions Template C87-0 Venty pans & Counts via témplate 3000 Fixture 1248-14 Fixture 1249-14 Assemble Seat Inspect Alignment Package & Ship Add Hardware Assemble Seat Back Package Stop Process Flow -Chair Manufacturing
Please do part d
Scott Paper tests its toilet paper by subjecting 6 rolls to a wet stress test to see whether and how often the paper tears during the test. Following are the number of defectives found over the last 6 days: 2, 3, 1, 2, 2, and 3. Lower and upper control limits are, respectively: O a. 6.58 and 0 O b. O and 6.58 None of them O d. O and 6.24 O e. O and 6.90
A process that is assumed to be in control with limits of 91+2 had sample averages for the X-bar chart of the following: 87.1, 87, 87.2, 89, 90, 88.5, 89.5, and 88. Which of the following statement below are correct? O a. Process mean is not in-control O b. Process mean is in-control O c. None is correct O d. Not enough information to determine
Control charts for X-bar and Range (R.) are maintained on the resistance in ohms of electrical part. The size of the samples is 5. After 6 samples, the sum of all samples means is 2046.5 ohms and the sum of all samples Ranges is 17.4 ohms. Lower control limits of R and X-bar, respectively are Select one: a. O and 339.4 b. 6.12 and 339.4 c. 0 and 342.76 d. 0 and 410.97 e. O and 407.63
In repetitive operations it is often possible to automatically check for quality and then reject parts that are unacceptable. In those situations, does that mean that control charts aren't needed? briefly explain.
5. Five batteries were taken in each sample to measure how long (in hours) every battery will last. The inspection team randomly picked samples every two hours during the day. The data for four samples is shown in the following table. Please help the inspection team construct appropriate control limits using 3-sigma to monitor the quality of battery life (keep two decimal places if necessary). Which of the following statements is FALSE based on the control limits? Select one: a. More than one control charts can be used. b. The process is in control. c. The sample size is 5. d. One of the control limits is 40.71. e. If every battery is designed to have an average life of 60 hours, the process is still in control.
Define, compare and contrast type 1 and type 2 error?
pleaase solve accurately and with correct formulas thankss
Hi, I need help finding the answer to this Operations Management word problem. Thanks!