Operations Management
13th Edition
ISBN: 9781259667473
Author: William J Stevenson
Publisher: McGraw-Hill Education
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Chapter 10, Problem 16DRQ
Summary Introduction
To classify: Each of the following either as Type I error or Type II error.
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What’s the difference between Type I and Type II error?
Quality control in a factory pulls 40 parts with paint, packaging, or electronic defects from anassembly line. Of these, 28 had a paint defect, 17 had a packaging defect, 13 had an electronicdefect, 6 had both paint and packaging defects, 7 had both packaging and electronics defects, and 10had both paint and electronic defects. Did any part have all three types of defect? If so, how many?
Inter-State Moving and Storage Company wishes to establish a control chart to monitor the proportion of residential moves that result in written complaints due to late delivery, lost items, or damaged items. A sample of 40 moves is selected for each of the last 12 months. The number of written complaints in each sample is 9, 7, 4, 9, 1, 9, 11, 5, 5, 8, 7, and 15.
Number Defective
Percent defective
9
18
7
14
4
8
9
18
1
2
9
18
11
22
5
10
5
10
8
16
7
14
15
30
a. Insert the mean proportion defective, UCL, and LCL. (Leave no cells blank - be certain to enter "0" wherever required. Round your intermediate calculations and final answers to 2 decimal places.)
Mean proportion defective
UCL
LCL
c. Does it appear that the number of complaints is out of control for any of the months?multiple choice
Yes
No
Chapter 10 Solutions
Operations Management
Ch. 10.2 - A potato chip is a delicate thing Fragile A pound...Ch. 10.2 - A potato chip is a delicate thing Fragile A pound...Ch. 10.5 - It's estimated that more than 7 000 hospital...Ch. 10.5 - It's estimated that more than 7 000 hospital...Ch. 10 - Prob. 1DRQCh. 10 - Prob. 2DRQCh. 10 - Prob. 3DRQCh. 10 - Prob. 4DRQCh. 10 - Prob. 5DRQCh. 10 - Prob. 6DRQ
Ch. 10 - Prob. 7DRQCh. 10 - Prob. 8DRQCh. 10 - Prob. 9DRQCh. 10 - Prob. 10DRQCh. 10 - Prob. 11DRQCh. 10 - Prob. 12DRQCh. 10 - Prob. 13DRQCh. 10 - Prob. 14DRQCh. 10 - Prob. 15DRQCh. 10 - Prob. 16DRQCh. 10 - Prob. 1TSCh. 10 - Prob. 2TSCh. 10 - Prob. 3TSCh. 10 - Prob. 1CTECh. 10 - Prob. 2CTECh. 10 - Prob. 3CTECh. 10 - Prob. 4CTECh. 10 - Prob. 1PCh. 10 - Prob. 2PCh. 10 - Prob. 3PCh. 10 - Prob. 4PCh. 10 - Prob. 5PCh. 10 - Prob. 6PCh. 10 - Prob. 7PCh. 10 - Prob. 8PCh. 10 - Prob. 9PCh. 10 - Prob. 10PCh. 10 - Prob. 11PCh. 10 - Prob. 12PCh. 10 - Prob. 13PCh. 10 - Prob. 14PCh. 10 - Prob. 15PCh. 10 - Prob. 16PCh. 10 - Prob. 17PCh. 10 - A production process consists of a three-step...Ch. 10 - Prob. 19PCh. 10 - Prob. 20PCh. 10 - Prob. 21PCh. 10 - Prob. 22PCh. 10 - Prob. 23PCh. 10 - Prob. 24PCh. 10 - Prob. 25PCh. 10 - Prob. 26PCh. 10 - Prob. 27PCh. 10 - Prob. 28PCh. 10 - Prob. 29PCh. 10 - Prob. 1.1CQCh. 10 - Prob. 2.1CQCh. 10 - Prob. 2.2CQCh. 10 - Prob. 2.3CQCh. 10 - Prob. 2.4CQ
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- Case of Wrong Leg Amputation In one of the most tragic surgical errors, 52-year-old Willie King was supposed to have a diseased leg amputated in 1995. Instead, the surgeon took the wrong one off. As in many wrong site surgerycases, there were a series of mistakes that led to the wrong leg be ing amputated. The incorrect leg was listed in a number of key places including the blackboard in the operating room, the hospital's computer system, and the operating room schedule. The staff had sterilized and prepped the wrong leg for surgery before the surgeon, Dr. Rolando Sanchez, appeared in the operating room. The doctor's defence later was that both legs were unhealthy and would have to be amputated in any event. He was fined $10,000 and received a six-month medical license suspension. The cases against the surgeon and hospital were settled for $1.15 million. A. Define a 'negligent ac t' and state its elements. B. Use of res ipsa loquitur in medical malpractice cases appears to have had the…arrow_forwardPareto solution The following table shows the defects identified in the final inspection, during a month, in the soft drink bottles, as well as the number of times these have occurred.arrow_forward• A quality manger failed to detect a bad quality product so he sends it to the market thinking that the quality is good. Accordingly, the customer was not happy with the product as the quality was unacceptable. This is known as(a) "Consumer Risk" Select one: O True O Falsearrow_forward
- 4) Because a telephone customer service center has experienced several problems, it has begun to analyze the data from customer complaints. The first step was to construct the following table. Use this data to build a Pareto chart to help identify the "vital few" problems. Process Failure Total Failures Person not available Incorrect information given Phone line busy Long delay Phone tree confusing People unfriendly 12 39 20 17 DFocus earrow_forwardPlease do not give solution in image format thankuarrow_forwardWest Battery Corp. has recently been receiving complaints from retailers that its 9-volt batteries are not lasting as long as other name brands. James West, head of the TQM program at West's Austin plant, believes there is no problem because his batteries have had an average life of 60 hours, about 10% longer than competitors' models. To raise the lifetime above this level would require a new level of technology not available to West. Nevertheless, he is concerned enough to set up hourly assembly line checks. Previously, after ensuring that the process was running properly, West took samples of 5 9-volt batteries for 25 test to establish the standards for control chart limits. Those 25 tests are shown in the following table: Sample Data Sample Data Hour Hour Sample Taken 1 Sample Taken 1 2 4 5 R 2 3 4 R 1 60 61 60 59 67 61.4 8 14 62 69 51 62 56 60.0 18 55 57 70 56 46 56.8 24 15 67 53 63 69 70 64.4 17 60 45 58 49 57 53.8 15 16 72 58 51 44 64 57.8 28 66 81 61 51 60 63.8 30 17 49 49 58 68…arrow_forward
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- West Battery Corp. has recently been receiving complaints from retailers that its 9-volt batteries are not lasting as long as other name brands. James West, head of the TQM program at West's Austin plant, believes there is no problem because his batteries have had an average life of 60hours, about 10% longer than competitors' models. To raise the lifetime above this level would require a new level of technology not available to West. Nevertheless, he is concerned enough to set up hourly assembly line checks. Previously, after ensuring that the process was running properly, West took samples of 5 9-volt batteries for 25 test to establish the standards for control chart limits. Those 25 tests are shown in the following table: Sample Data Sample Data Hour Sample Taken 1 2 3 4…arrow_forwardJim's Outfitters, Ic., makes custom western shirts. The shirts could be flawed in various ways, including flaws in the weave or color of the fabric, loose buttons or decorations, wrong dimensions, and uneven stitches. Jim randomly examined 10 shirts, with the following results shown to the right. Shirt Defects 1 10 3 9 11 5 3 6 9 7 3 8 6 9 10 7 a. Assuming that 10 observations are adequate for these purposes, determine the three-sigma control limits for defects per shirt. The UCL, equals and the LCL. equals| (Enter your responses rounded to two decimal places. If your answer for LCL, is negative, enter this value as 0.)arrow_forwardIn response to intensive foreign competition, the management of Florex Company has attempted over the past year to improve the quality of its products. A statistical process control system has been installed and other steps have been taken to decrease the amount of warranty and other field costs, which have been trending upward over the past several years. Costs relating to quality and quality control over the last two years are given below: Costs (in thousands) Last Year This Year Inspection $ 720 $ 909 Quality engineering $ 450 $ 765 Depreciation of test equipment $ 675 $ 270 Rework labor $ 1,080 $ 1,530 Statistical process control $ 0 $ 225 Cost of field servicing $ 1,350 $ 1,260 Supplies used in testing $ 45 $ 81 Systems development $ 720 $ 900 Warranty repairs $ 3,780 $ 1,620 Net cost of scrap $ 630 $ 1,170 Product testing $ 900 $ 1,800 Product recalls $ 3,150 $ 900 Disposal of defective products $ 810 $ 1,080 Sales have been flat over the…arrow_forward
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