The table below shows the types of defects and their frequency in plastic bottles for motor oil in one of the factories. Required: Preparing the Pareto chart and identifying the problems that must be solved first Frequency defect type Orifice deformation Bottle heterogeneity holes in the base The lack of durability of the bottle Impurities in the mold Tag not pasted longitudinal incisions TOTAL 1178 1885 218 254 263 210 262 4270 Percentage% 22.6 44.0 2.8 6.0 6.2 5.0 8.4 100
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- The accompanying data on cube compressive strength(MPa) of concrete specimens appeared in the article“Experimental Study of Recycled Rubber-FilledHigh-Strength Concrete” (Magazine of ConcreteRes., 2009: 549–556):112.3 97.0 92.7 86.0 102.099.2 95.8 103.5 89.0 86.7 a. Is it plausible that the compressive strength for thistype of concrete is normally distributed? b. Suppose the concrete will be used for a particularapplication unless there is strong evidence that trueaverage strength is less than 100 MPa. Should theconcrete be used? Carry out a test of appropriatehypotheses.Folio Glass produces custom glass platters. For one job, the trainee assigned to cut the glass set the template incorrectly into the computer. This template was unusable and had to be discarded; another template was cut to the correct dimensions. How is the cost of the spoiled template handled?Suppose that Motorola uses the normal distribution to determine the probability of defects and the number of defects in a particular production process. Assume that the production process manufactures items with a mean weight of 10 ounces. Calculate the probability of a defect and the suspected number of defects for a 1,000-unit production run in the following situations. a. The process standard deviation is 0.15, and the process control is set at plus or minus one standard deviation. Units with weights less than 9.85 or greater than 10.15 ounces will be classified as defects. b. Through process design improvements, the process standard deviation can be reduced to 0.05. Assume that the process control remains the same, with weights less than 9.85 or greater than 10.15 ounces being classified as defects. c. What is the advantage of reducing process variation, thereby causing process control limits to be at a greater number of standard deviations from the mean?
- AccuSound Corporation manufactures printed circuits for stereo amplifiers. A common product defect is a "drift" caused by failure to maintain precise heat levels during the production process. Rejects from the 100 percent testing program can be reworked to acceptable levels if the defect is drift. However, in a recent analysis of customer complaints, Marie Allen, the assistant controller, and the quality control engineer determined that normal rework does not bring the circuits up to standard. Sampling showed that about half of the reworked circuits will fail after extended amplifier operation. The incidence of failure in the reworked circuits is projected to be about 10 percent over five years.3. What should Marie Allen do?Rector Corporation is examining its quality control program. Which of the following statements is/ are correct?I. Rework costs should be regarded as a cost of quality when the rework is caused by internal failure. II. Prevention costsare costs that are incurred to prevent the sale and production of defective units. III. Internal failure costs are costs of failureof machinery on the production line.1. I, II, and III are correct.2. II only is correct.3. I and III only are correct.4. I only is correct.In a manufacturing process the assembly line speed (feet per minute) was thought to affect the number of defective parts found during the inspection process. To test this theory, managers devised a situation in which the same batch of parts was inspected visually at a variety of line speeds. They collected the following data: Develop a scatter chart with line speed as the independent variable. What does the scatter chart indicate about the relationship between line speed and the number of defective parts found? Use the data to develop an estimated regression equation that could be used to predict the number of defective parts found, given the line speed. What is the estimated regression model? Test whether each of the regression parameters β0 and β1 is equal to zero at a 0.01 level of significance. What are the correct interpretations of the estimated regression parameters? Are these interpretations reasonable? How much of the variation in the number of defective parts found for the sample data does the model you estimated in part (b) explain?
- Please help explain these steps to me. I'm not coming up with answers that are correct. Scribners Corporation produces fine papers in three production departments—Pulping, Drying, and Finishing. In the Pulping Department, raw materials such as wood fiber and rag cotton are mechanically and chemically treated to separate their fibers. The result is a thick slurry of fibers. In the Drying Department, the wet fibers transferred from the Pulping Department are laid down on porous webs, pressed to remove excess liquid, and dried in ovens. In the Finishing Department, the dried paper is coated, cut, and spooled onto reels. The company uses the weighted-average method in its process costing system. Data for March for the Drying Department follow: Percent Completed Units Pulping Conversion Work in process inventory, March 1 2,500 100 % 80 % Work in process inventory, March 31 7,600 100 % 75 % Pulping cost in work in process inventory, March 1 $ 1,050…Hepworth Communications produces cell phones. One of the four major electronic components is produced internally. The other three components are purchased from external suppliers. The electronic components and other parts are assembled (by the Assembly Department) and then tested (by the Testing Department). Any units that fail the test are sent to the Rework Department where the unit is taken apart and the failed component is replaced. Data from the Testing Department reveal that the internally produced component (made by the Component Department) is the most frequent cause of product failure. One out of every 50 phones fails because of a faulty internally produced component. Barry Norton is the manager of the Component Department. In a recent performance evaluation, the plant manager told Barry that he needed to be more sensitive to the needs of the departments customers. This charge puzzled Barry somewhatafter all, the component is not sold to anyone but is used in producing the plants cell phones. Required: 1. Who are Barrys customers? 2. Explain the plant managers charge to Barry to be more sensitive to his customers. Explain also how this increased sensitivity could improve the companys time-based competitive ability. 3. What role would cost management play in helping Barry be more sensitive to his customers?I need some opinions/thoughts on this... A non-destructive test program for an aircraft engine compressor blade made of Ti-6AL-4V titanium alloy can ensure that no flaw greater than 2 mm will exist in the finished part. a) Can this inspection program prevent the occurrence of fast fracture/catastrophic failure? b) Why? I say no, because the test itself can only test the surface and internals of the object but can not ensure: Components needing to be cleaned before and after inspection Sensitivity of inspection can sometimes be affected by the finish of a component. Sometimes there might be a lack of depth sizing On some non-destructive test methods, only relatively non-porous surfaces can be inspected Some test methods require electricity Some can also be affected by variations in magnetic permeability Some tests are only effective on materials that are conductive
- Classify the following quality costs as prevention costs, appraisal costs, internal failure costs, orexternal failure costs:1. Inspection of reworked units2. Inspecting and testing a newly developed product (not yet being sold)3. Retesting a reworked product4. Repairing a computer still under warranty5. Discount allowed to customers because products failed to meet customer specifications6. Goods returned because they failed to meet specifications7. The cost of evaluating and certifying suppliers8. Stopping work to correct process malfunction (discovered using statistical process controlprocedures)9. Testing products in the field10. Discarding products that cannot be reworked11. Lost sales because of recalled products12. Inspection of incoming materials13. Redesigning a product to eliminate the need to use an outside component with a highdefect rate14. Purchase order changes 15. Replacing a defective product16. Inspecting and testing prototypes17. Repairing products in the field18.…Many companies use a quality control technique called acceptance sampling to monitor incoming shipments of parts, raw materials, and so on. In the electronics industry, component parts are commonly shipped from suppliers in large lots. Inspection of a sample of n components can be viewed as the n trials of a binomial experiment. The outcome for each component tested (trial) will be that the component is classified as good or defective. Reynolds Electronics accepts a lot from a particular supplier if the defective components in the lot do not exceed 1%. Suppose a random sample of five items from a recent shipment is tested. Assume that 1% of the shipment is defective. Compute the probability that no items in the sample are defective. Assume that 1% of the shipment is defective. Compute the probability that exactly one item in the sample is defective. What is the probability of observing one or more defective items in the sample if 1% of the shipment is defective? Would you feel comfortable accepting the shipment if one item was found to be defective? Why or why not?A production line operation is designed to fill cartons with laundry detergent to a mean weight of 32 ounces. A sample of cartons is periodically selected and weighed to determine whether underfilling or overfilling is occurring. If the sample data lead to a conclusion of underfilling or overfilling, the production line will be shut down and adjusted to obtain proper filling. a. Formulate the null and alternative hypotheses that will help in deciding whether to shut down and adjust the production line. b. Comment on the conclusion and the decision when H0 cannot be rejected. c. Comment on the conclusion and the decision when H0 can be rejected.