Concept explainers
Case Summary: In Gr’s Garage, the proportion of average number of customers who comes back again for the same fault is 0.10, during the warranty period of 30 days. Every month, 100 customers are tracked by Gr, in order to find out whether they are returning for same repair works during the warranty period and the same is plotted as proportion to report progress against goal. By setting the control limits on both sides of goal, at two standard deviations, the control limit for the chart needs to be determined. From the sample group 8 customers out of 100, has returned for repairs, for which the repair process is under control or not, needs to be assessed.
Interpretation: The standard deviation gives information as to how various values are spread out when compared to the mean value.
Want to see the full answer?
Check out a sample textbook solutionChapter 3 Solutions
MyLab Operations Management with Pearson eText -- Access Card -- for Operations Management: Processes and Supply Chains
- Garcia's Garage desires to create some colorful charts and graphs to illustrate how reliably its mechanics "get under the hood and fix the problem." The historic average for the proportion of customers that return for the same repair within the 30-day warranty period is 0.09. Each month, Garcia tracks 130 customers to see whether they return for warranty repairs. The results are plotted as a proportion to report progress toward the goal. If the control limits are to be set at three standard deviations on either side of the goal, determine the control limits for this chart. In March, 4 of the 130 customers in the sample group returned for warranty repairs. Is the repair process in control? The UCL, equals 0.165 and the LCLp equals 0.015. (Enter your responses rounded to three decimal places.) Is the repair process in control? O A. The sample proportion is outside the control limits, so the repair process is in control. O B. The sample proportion is within the control limits, so the…arrow_forwardGarcia's Garage desires to create some colorful charts and graphs to illustrate how reliably its mechanics "get under the hood and fix the problem." The historic average for the proportion of customers that return for the same repair within the 30-day warranty period is 0.08. Each month, Garcia tracks 100 customers to see whether they return for warranty repairs. The results are plotted as a proportion to report progress toward the goal. If the control limits are to be set at two standard deviations on either side of the goal, determine the control limits for this chart. In March, 15 of the 100 customers in the sample group returned for warranty repairs. Is the repair process in control? The UCLp equals____________The LCLp equals_____________ (Enteryour responses rounded to three decimal places.)arrow_forwardGarcia's Garage desires to create some colorful charts and graphs to illustrate how reliably its mechanics "get under the hood and fix the problem." The historic average for the proportion of customers that return for the same repair within the 30-day warranty period is 0.12 Each month, Garcia tracks 70 customers to see whether they return for warranty repairs. The results are plotted as a proportion to report progress toward the goal. If the control limits are to be set at twostandard deviations on either side of the goal, determine the control limits for this chart. In March, 5 of the 70 customers in the sample group returned for warranty repairs. Is the repair process in control? The UCLp equals and the LCLp equals (Enter your responses rounded to three decimal places.)arrow_forward
- Do not use chatgpt.arrow_forwardQUALITY COONTROLarrow_forward A fast food franchise tracked the number of errors that occurred in customers orders. These included; * wrong menu items *wrong size drink *lack of condiments *wrong price total *and so on... Some orders may have more than one error. In one week, 1500 orders were filled, and a total of 72 errors were discovered. Find the control limits for a C – Chart to monitor the number of errors per order. Is order accuracy, good or bad ? Explain.arrow_forward
- Please help answer question 2. If possible, please upload an excel file thankyouarrow_forwardThe Healthy Chocolate Company makes a variety of chocolate candles, including a 12-ounce chocolate bar (340 grams) and a box of six 1-ounce chocolate bars (170 grams). a.Specifications for the 12-ounce bar are 322 grams to 358 grams. What is the largest standard deviation (In grams) that the machine that fills the bar molds can have and still be considered capable if the average fill is 340 grams? (Round your intermediate calculations to 2 decimal places and final answer to 3 decimal places.) Standard deviation b.The machine that filles the bar molds for the 6-ounce bars has a standard deviation of .84 grams. The filling machine is set to deliver an average of 1.04 ounces per bar. Specifications for the six-bar box are 150 to 190 grams per box. Is the process capable? Hint: The variance for the box is equal to six times the bar variance. Convert all calculations Into grams. O Yes O No grams c.What is the lowest setting in ounces for the filling machine that will provide capability in…arrow_forwardProblem 10-7 (Algo) The postmaster of a small western town receives a certain number of complaints each day about mail delivery. DAY 1 2 3 4 5 6 7 8 9 10 11 12 13 14 Number of complaints 4 12 16 8 9 6 5 13 14 7 6 4 2 10 Click here for the Excel Data File a. Determine three-sigma control limits using the above data. (Round your intermediate calculations to 4 decimal places and final answers to 3 decimal places. Leave no cells blank - be certain to enter "0" wherever required. Round up any negative control limit value to zero.) b. Is the process in control? multiple choice Yes Noarrow_forward
- 4. Problem 8.29 The number of imperfections in bond paper produced by a paper mill is observed over a period of several days. Table 8-28 shows the area inspected and the number of imperfections for 25 samples. Construct a control chart for the number of imperfections per square meter. Revise the limits, if necessary, assuming special causes for the out-of-control points. TABLE 8-28 Area Area Sample Inspected (m?) Imperfections Sample Inspected (m²) Imperfections 1 150 6 14 300 8 2 100 8 15 300 12 3 200 5 16 200 6 4 150 4 17 150 4 250 10 18 200 7 6. 100 11 19 150 14 7 150 20 100 4 8 200 5 21 100 8 9 300 10 22 200 10 250 10 23 300 12 11 100 24 250 7 12 200 4 25 200 5 13 250 12arrow_forwardI need help with part c of the question.arrow_forwardplease answer in 30 minutes.arrow_forward
- Practical Management ScienceOperations ManagementISBN:9781337406659Author:WINSTON, Wayne L.Publisher:Cengage,Operations ManagementOperations ManagementISBN:9781259667473Author:William J StevensonPublisher:McGraw-Hill EducationOperations and Supply Chain Management (Mcgraw-hi...Operations ManagementISBN:9781259666100Author:F. Robert Jacobs, Richard B ChasePublisher:McGraw-Hill Education
- Purchasing and Supply Chain ManagementOperations ManagementISBN:9781285869681Author:Robert M. Monczka, Robert B. Handfield, Larry C. Giunipero, James L. PattersonPublisher:Cengage LearningProduction and Operations Analysis, Seventh Editi...Operations ManagementISBN:9781478623069Author:Steven Nahmias, Tava Lennon OlsenPublisher:Waveland Press, Inc.