Concept explainers
a)
To determine: The upper and lower control limits for the control chart and graph the data.
Introduction: A process is said to be operating in “statistical control” when all the variations in the process that are due to assignable causes have been identified and removed. In other words, the only variations are due to natural causes. In such a state, the process is said to be in “statistical control”
b)
To determine: Whether the process is in control
Introduction: A process is said to be operating in “statistical control” when all the variations in the process that are due to assignable causes have been identified and removed. In other words, the only variations are due to natural causes. In such a state, the process is said to be in “statistical control”
c)
To determine: The control limits, if the
Introduction: A process is said to be operating in “statistical control” when all the variations in the process that are due to assignable causes have been identified and removed. In other words, the only variations are due to natural causes. In such a state, the process is said to be in “statistical control”
Want to see the full answer?
Check out a sample textbook solutionChapter 6 Solutions
Mylab Operations Management With Pearson Etext -- Access Card -- For Operations Management: Sustainability And Supply Chain Management (13th Edition)
- Jamison Kovach Supply Company manufactures paper clips and other office products. Although inexpensive, paper clips have provided the firm with a high margin of profitability. Sample size is 50. Results are given for the last 10 samples. Sample 1 2 3 4 5 6 7 8 9 10 Defectives 5 7 2 5 6 5 5 4 1 11 Part 2 The type of control chart that is best to monitor this process is p minus chartp−chart . Part 3 a) Establish the control limits to include 99.73% of the random variation in defectives. UCLp = enter your response here (enter your response as a number between 0 and 1, rounded to three decimal places).arrow_forwardWhat is it important to prove that a process is proven capable before developing statistical control limit ?arrow_forwardThe results of an inspection of DNA samples takenover the past 10 days are given below. Sample size is 100. a) Construct a 3-sigma p -chart using this information. b) Using the control chart in part (a), and finding that the num-ber of defectives on the next three days are 12, 5, and 13, is the process in control?arrow_forward
- control charts for means and rangers. processing times for new accounts at bank are shown in the following table. five samples of four observations each have been taken. use the sample data in conjunction with table 10.3 to construct upper and lower control limits for both mean chart and range chart. do the result suggest that the process is in control? sample 1 sample 2 sample 3 sample 4 sample 5 10.2 10.3 9.7 9.9 9.8 9.9 9.8 9.9 10.3 10.2 9.8 9.9 9.9 10.1 10.3 10.1 10.4 10.1 10.5 9.7 40.0 40.4 39.6 40.8 40.0arrow_forwardExplain how to contruct process control chart and use them to determine whether a process is out of statistical control.arrow_forwardP-chart and c-chart. Using the appropriate control chart, determine two-sigma controllimits for each Problem case, a. An inspector found an average of 3.9 scratches in the exterior paint of each of theautomobiles being prepared for shipment to dealers. b. Before shipping lawnmowers to dealers, an inspector attempts to start each mowerand notes any that do not start on the first try. The lot size is 100 mowers, and anaverage of 4 did not start (4 percent).arrow_forward
- When most processes are sampled for control chart purposes, why aren't they in statistical control?arrow_forwardDescribe how to construct process control charts and use them to determine whether a process is out of statistical control.arrow_forwardFor question 1 choose from the following: x bar-chart, c-chart, p-chart, or none of the about. 1. The process involving filling of a high value medicine into standard containers of 50 gms. 2. From a perspective of Statistical Process Control (SPC), a six-sigma process will have which of the following attributes? a) The USL and LSL will be separated by a distance of six sigma b) The process center will be aligned with the LSL c) The number of defects produced by the process will be 0.0018 parts per million d) All of the above 3. Which of the following statements depict the meaning of "total" in the term TQM? a) The total of all efforts put by the employees towards quality b) Total satisfaction of the customers about a company's products and services c) Ensuring every supplier follows quality practices in their work place d) Making quality happen everywhere in an organization by involving everyonearrow_forward
- Webster Chemical Company produces mastics and caulking for the construction industry. The product is blended in large mixers and then pumped into tubes and capped. Management is concerned about whether the filling process for tubes of caulking is in statistical control. The process should be centered on 8 ounces per tube. Several samples of eight tubes were taken, each tube was weighed, and the weights in Table were obtained. Ounces of Caulking Per Tube Tube Number Sample 1 2 3 4 5 6 7 8 1 2 3 4 5 6 7.98 8.33 7.89 8.24 7.87 8.13 8.34 8.22 7.77 8.18 8.13 8.14 8.02 8.08 7.91 7.83 7.92 8.11 7.94 8.51 8.04 8.05 7.99 8.13 8.44 8.41 8.00 7.90 8.10 8.14 7.68 8.28 7.89 8.16 7.81 8.12 7.81 8.09 7.93 7.97 8.14 8.13 8.11 8.16 8.09 8.07 7.88 8.14 a. Assume that only six samples are sufficient and develop the control charts for the mean and the range.b. Plot the observations on the control chart and comment on your findings.arrow_forward13. A process is monitored using an X chart with UCL = 13.8 and LCL = 8.2. The process standard deviation is estimated to be 6.6. If the X chart is based on three-sigma limits, a. What is the estimate of the process mean? b. What is the size of each of the sampling subgroups?arrow_forwardWhat trade-offs are involved in each of these decisions? a. Choosing between a large sample size and a smaller sample size.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.