Sandford Tile Company makes ceramic and porcelain tile for residential and commercial use. They produce three different grades of tile (for walls, residential flooring, and commercial flooring), each of which requires different amounts of materials and production time, and generates different contributions to profit. The following information shows the percentage of materials needed for each grade and the profit per square foot.
Each week, Sanford Tile receives raw-material shipments, and the operations manager must schedule the plant to efficiently use the materials to maximize profitability. Currently, inventory consists of 6,000 pounds of clay, 3,000 pounds of silica, 5,000 pounds of sand, and 8,000 pounds of feldspar. Because demand varies for the different grades, marketing estimates that at most 8,000 square feet of Grade III tile should be produced, and that at least 1,500 square feet of Grade I tiles are required. Each square foot of tile weighs approximately 2 pounds.
a. Develop a linear optimization model to determine how many of each grade of tile the company should make next week to maximize profit contribution.
b. Implement your model on a spreadsheet and find an optimal solution.
c. Explain the sensitivity information for the objective coefficients. What happens if the profit on Grade I is increased by $0.05?
d. If an additional 500 pounds of feldspar is available, how will the optimal solution be affected?
e. Suppose that 1,000 pounds of clay are found to be of inferior quality. What should the company do?
f. Use the auxiliary variable cells technique to handle the bound constraints and generate all shadow prices
> Identify each of the variables in the Excel file Credit Approval Decisions as categorical, ordinal, interval, or ratio and explain why
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> The director of a nonprofit ballet company in a medium-sized U.S. city is planning its next fundraising campaign. In recent years, the program has found the following percentages of donors and gift levels:Develop a spreadsheet model to calculate the tota
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> Develop a spreadsheet model for gasoline usage scenario, Problem 4 in Chapter 1, using the data provided. Apply the principles of spreadsheet engineering in developing your model.Problem 4 in Chapter 1Suggest some metrics that a manager of a fast-food re
> A manager needs to identify some information from the Purchase Orders Excel file but has only the order number. Modify the Excel file to use the VLOOKUP function to find the item description and cost per order for the following order numbers: Aug11008, S
> For the Colleges and Universities data, use XLMiner to find four clusters using each of the other clustering methods (see Figure 10.13); compare the results with Example 10.6.Figure 10.13,,,
> For the four clusters identified in Example 10.6, find the average and standard deviations of each numerical variable for the schools in each cluster and compare them with the averages and standard deviations for the entire data set. Does the clustering
> For the Excel file Colleges and Universities, normalize each column of the numerical data (i.e., compute a z-score for each of the values) and then compute the Euclidean distances between the following schools: Amherst, Cal Tech, and Duke
> A sample of 20 international students attending an urban U.S. university found that the average amount budgeted for expenses per month was $1612.50 with a standard deviation of $1179.64. Find a 95% confidence interval for the mean monthly expense budget
> In the Excel file Restaurant Sales, determine if the variance of weekday sales is the same as that of weekend sales for each of the three variables (lunch, dinner, and delivery)
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> Classify each of the data elements in the Sales Transactions database (Figure 1.1) as categorical, ordinal, interval, or ratio data and explain why
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> Use PivotTables to construct a cross-tabulation for the purpose of the loan and credit risk in the Excel file Credit Risk Data. Illustrate the results on a PivotChart
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> The Excel file Myatt Steak House provides 5 years of data on key business results for a restaurant. Identify the leading and lagging measures, find the correlation matrix, and propose a cause-and-effect model using the strongest correlations
> The Excel file Automobile Options provides data on options ordered together for a particular model of automobile. Develop a market basket analysis using the XLMiner association rules procedure with the input parameters support = 6 and confidence = 80
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> A sample of 33 airline passengers found that the average check-in time is 2.167. Based on long-term data, the population standard deviation is known to be 0.48. Find a 95% confidence interval for the mean check-in time. Use the appropriate formula and ve
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> The Excel file Credit Risk Data provides a database of information about loan applications, along with a classification of credit risk in column L. Convert the categorical data into numerical codes as appropriate. Then apply logistic regression to classi
> Using the data in the Excel file Student Grades, which represent exam scores in one section of a large statistics course, test the hypothesis that the variance in grades is the same for both tests
> The Excel file Credit Risk Data provides a database of information about loan applications along with a classification of credit risk in column L. Convert the categorical data into numerical codes as appropriate. Sample 200 records from the data set. The
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> The Excel file Credit Risk Data provides a database of information about loan applications along with a classification of credit risk in column L. Convert the categorical data into numerical codes as appropriate. Sample 200 records from the data set. The
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> Use discriminant analysis to classify the new data in the Excel file Credit Approval Decisions Coded using only credit score and years of credit history as input variables
> Construct cross-tabulations of Gender versus Carrier and Type versus Usage in the Excel file Cell Phone Survey. What might you conclude from this analysis?
> Figure 13.33 shows the Solver sensitivity report for the ColPal Products scenario in Problem 2. Using only the information in the sensitivity report, answer the following questions.Figure 13.33Sensitivity Report for ColPal Productsa. Suppose that the exp
> The background for this case was introduced in Chapter 1. This is a continuation of the case in Chapter 4. For this part of the case, compute confidence intervals for means and proportions, and analyze the sampling errors, possibly suggesting larger samp
> Figure 13.32 shows the Solver sensitivity report for Valencia Products in Problem 1. Using only the information in the sensitivity report, answer the following questions.Figure 13.32Sensitivity Report for Valencia Productsa. Explain why the reduced cost
> Figure 13.31 shows the sensitivity report after solving the Crebo Manufacturing model (Example 13.12) using Solver. Using only the information in the sensitivity report, answer the following questions.Figure 13.31Sensitivity Report for Crebo Manufacturin
> For the investment situation in Problem 4, apply the same logic as we did for the Crebo Manufacturing model in the text to find the optimal solution. Compare your answer with the Solver solution.In Problem 4A business student has $2,500 available from a
> For ColPal Products in Problem 2, modify the data in the model to create a problem with each of the followinga. Alternative optimal solutionsb. An unbounded solutionc. InfeasibilityIn Problem 2A brand manager for ColPal Products must determine how much t
> The Hansel Corporation, located in Bangalore, India, makes plastics materials that are mixed with various additives and reinforcing materials before being melted, extruded, and cut into small pellets for sale to other manufacturers. Four grades of plasti
> For Valencia Products in Problem 1, modify the data in the model to create a problem with each of the following.a. Alternative optimal solutionsb. An unbounded solutionc. InfeasibilityIn Problem 1Valencia Products makes automobile radar detectors and ass
> For the Burger Office Equipment model in Problem 3, graph the constraints and identify the feasible region. Then identify each of the corner points and show how increasing the objective function value identifies the optimal solution.In Problem 3Burger Of
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> The Excel file Store and Regional Sales Database provides sales data for computers and peripherals showing the store identification number, sales region, item number, item description, unit price, units sold, and month when the sales were made during the
> For ColPal model in Problem 2, graph the constraints and identify the feasible region. Then identify each of the corner points and show how increasing the objective function value identifies the optimal solution.In Problem 2A brand manager for ColPal Pro
> Use Analytic Solver Platform to simulate the Outsourcing Decision Model under the assumptions that the production volume will be triangular with a minimum of 800, maximum of 1,700, and most likely value of 1,400, and that the unit supplier cost is normal
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> The Helicopter Division of Aerospatiale is studying assembly costs at its Marseilles plant. Past data indicates the following labor hours per helicopter:Helicopter Number __________Labor Hours1 ………………………………………………………………… 2,0002 ………………………………………………………………… 1
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