The Canine Gourmet Company produces delicious dog treats for canines with discriminating tastes. Management wants the box-filling line to be set so that the process average weight per packet is47 grams. To make sure that the process is in control, an inspector at the end of the filling line periodically selects a random box of 10 packets and weighs each packet. When the process isin control, the range in the weight of each sample has averaged 7 grams.Click the icon to view the table of factors for calculating three-sigma limits for the x-chart and R-chart.a. Design an R- and an x-chart for this process.The UCLA equals 11.54 grams and the LCL equals 46 grams. (Enter your response rounded to two decimal places)

Find the given details below: Given details:Average Weight47gramsAverage Range7gramsRandom…

Answered: The Canine Gourmet Company produces…

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...

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Cartons of Plaster are supposed to weigh exactly 32 ounces. Inspectors want to develop process control charts. They take five samples of six (5) boxes each and weigh them. Sample means (X-bar) are: 33.8, 34.6, 34.7, 34.1, and 34.2 respectively. Also, the corresponding ranges are: 1.1, 0.3, 0.4, 0.7, and 0.3, respectively. The lower and upper control limits of the R-chart are respectively O a. O and 0.15 O b. 0.01 and 1.13 O c. O and 1.18 O d. None is correct O e. 0.03 and 1.18
Boxes of Honey-Nut Oatmeal are produced to contain 14.0 ounces, with a standard deviation of 0.10 ounce. For a sample size of 49, the 3-sigma x chart control limits are: Upper Control Limit (UCL) = Lower Control Limit (LCL) = ounces (round your response to two decimal places). ounces (round your response to two decimal places).
For small samples, R chart is relatively sensitive to changes in process standard deviation. False True
A large national producer of cookies and baked goods uses a c chart to monitor the number of chocolate chips in its chocolate chip cookies. The company would like to have an average of six chips per cookie. One cookie is sampled each hour. The results of the last 12 hours were (given) a. Assuming a target value of c = 6, what are the upper and the lower control limits for a c chart?b. Are the 12 observations consistent with a target value of c = 6? If those 12 observations constitute a baseline, what upper and lower control limits result? (Use the normal approximation for your calculations.)
Please do not give solution in image format thanku
Please do not give solution in image format thanku Canine Gourmet Super Breath dog treats are sold in boxes labeled with a net weight of 9 ounces (255 grams) per box. Each box contains 6 individual 1.5-ounce packets. To reduce the chances of shorting the customer, product design specifications call for the packet-filling process average to be set at 43.5 grams so that the average net weight per box of 6 packets will be 261 grams. Tolerances are set for the box to weigh 261±15 grams. The standard deviation for the packet-filling process is 1.01 grams. The target process capability ratio is 1.67. One day, the packet-filling process average weight drifts down to 43.0 grams. Is the packaging process capable? Is an adjustment needed? Since the process capability index, Cpk, is (____), the process is (_____) . (Enter your response rounded to three decimal places.) Since the process capability ratio, Cp, is (_____), the problem is that the process is (_____) . (Enter your…
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A quality inspector took five samples in five hours, each with four observations, of the length time for glue to dry. The analyst compute the mean of each sample and the computed the grand mean. All values are in minutes. Use this information to obtain three-sigma control limits for means. It is known from previous experience that the standard deviation of the process is 0.02 minutes. Draw a control chart Please provide a step-by-step solution
A chemical plant stores spare parts for maintenance in a large warehouse. Throughout the working day, maintenance personnel go to the warehouse to pick up supplies needed for their jobs. The warehouse receives a request for supplies, on average, every 2 minutes (Poisson distributed). The average request requires 1.7 minutes to fill (exponential service times). Maintenance employees are paid $20 per hour, and warehouse employees are paid $12 per hour. The warehouse is open 8 hours each day. What is the optimal number of warehouse employees to hire? (Hint: Time spent by maintenance workers waiting in line for supplies should be considered an expense.) What is the total cost per hour (waiting plus warehouse employee labor cost) of your solution?
Control charts for X-bar and S are maintained for the fill volume of protein shake drink. The specifications are 330 + 10 mL. After 40 samples of size n=7 are analyzed, we find that: 40 40 = 13,200 Si = 296 i=1 i=D1 Find the best estimate of the process standard deviation. 7.498 7.400 7.570 2.737 7.713 8.032
Quality control programs often establish control limits that are three standard deviationsfrom the target mean of a process. If the mean of a sample taken from the process iswithin the control limits, the process is deemed satisfactory.A process is designed to fill bottles with 16 ounces of soda with a standard deviationof 0.5 ounces. Determine the control limits above and below the mean for this processusing a sample size of n = 30.
A microbrewery tracks its output in gallons over a five hour period for each of seven days. Their data is in the table below, and they went ahead and calculated the averages and ranges for the individual samples and the overall averages Their data and the factors tables can be found below. Calculate the upper (LCL) and lower (UCL) control limits for X bar, and R charts for their process. Day (X values) X̅ R 1 46 49 45 47 48 47.0 4 2 43 52 46 52 44 47.4 9 3 45 55 46 51 43 48.0 12 4 39 44 42 43 40 41.6 5 5 45 50 48 50 42 47.0 8 6 44 48 45 45 40 44.4 8 7 41 44 52 50 47 46.8 11 X̿ = 46.03 R̅ 8.14 Xbar chart - LCL = 40.48, UCL=46.25, R chart LCL=0, UCL=14.01 Xbar chart - LCL = 44.21, UCL=48.41, R chart LCL=0.49, UCL=17.18 Xbar chart - LCL = 42.61, UCL=49.45, R chart LCL=0.65, UCL=15.63 Xbar chart - LCL = 44.21, UCL=51.62, R chart LCL=0, UCL=17.18 Xbar chart - LCL = 41.31, UCL=50.75, R chart LCL=0, UCL=17.18

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