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Chapter 10 Exercises

Chapter 1 2 3 4 5 6 7 8 9 10 11 12 13 14

Principles of MIS

© 2005 by Jerry Post
McGraw-Hill/Irwin
  1. Talk with managers or use research to identify three expert systems (that are not described in the textbook). What tools were used to build the expert system? What problem is it designed to solve?
  2. A marketing manager has asked you to help design a DSS for the marketing department. Every month marketers need to evaluate the effectiveness of their advertising campaigns and decide how to allocate their budget for the next month. They advertise only in the local area and have four basic choices: radio, television, local newspapers, and direct mail. Each month, they conduct random phone interviews to find out who sees their advertisements. They can also purchase local scanner data to determine sales of related products. Each month, the media salespeople give them the Arbitron ratings that show the number of people (and demographics) who they believe saw each advertisement. They also receive a schedule of costs for the upcoming month. As a first step in creating the DSS, identify any relevant assumptions and input and output variables, along with any models that might be useful.
  3. Interview an expert in some area and create an initial set of rules that you could use for an expert system. If you cannot find a cooperative expert, try researching one of the following topics in your library: fruit tree propagation and pruning (what trees are needed for cross-pollination, what varieties grow best in each region, what fertilizers are needed, when they should be pruned), requirements or qualifications for public assistance or some other governmental program (check government documents), legal requirements to determine whether a contract is in effect (check books on business law).
  4. A government official recently noted that the government is having difficulty processing applications for assistance programs (welfare). Although most applications are legitimate, several facts they contain have to be checked. For instance, welfare workers have to check motor vehicle and real estate records to see whether the applicants own cars or property. The agency checks birth, death, and marriage records to verify the existence of dependents. They sometimes examine public health data and check criminal records. It takes time to check all of the records, plus the agency needs to keep track of the results of the searches. Additionally, a few applicants have applied multiple times—sometimes in different localities. The office needs to randomly check some applications to search for fraud. Every week, summary reports have to be sent to the state offices. A key feature of these reports is that they are used to convince politicians to increase funding for certain programs. Describe how a DSS could help this agency. Hint: Identify the decisions that need to be made.
  5. Obtain an expert system (e.g., Jess and CLIPS are free). Create a set of rules to evaluate a simple request for a car loan.
  6. Identify a problem that would be well suited for a neural network. Explain how the system would be trained (e.g., what existing data can be used). Explain why you think the problem needs a neural network and what benefits can be gained.
  7. For the following problems identify those that would be best suited for an expert system, decision support system, or a more advanced AI system. Explain why.
    1. Helping students create a degree program.
    2. Determining how many cooks are needed each night at a large restaurant.
    3. Identifying potential criminals at an airport.
    4. Investing in the stock market.
    5. Hiring an employee for a technical job.
    6. Troubleshooting the cause of power problems on a ship.
    7. Predicting the impact of government economic policies.
    8. Evaluating crime trends within a city.
  8. Who will pay for the creation of software agents? What about the use of the agents? Should (or could) users be charged every time their agent calls another one? What about network usage? What would happen if your agent used your telephone to connect to thousands of other agents?
  9. Use a spreadsheet to create the example from the HRM section. Fill in the market adjustment column so that raises match the performance appraisals. Remember, total raises cannot exceed $10,000.
  10. DeptStor.mdbYou are a midlevel manager for a small department store. You have collected a large amount of data on sales for 2004 Your transaction system kept track of every sale (order) by customer. Most customers paid by credit card or check, so you have complete customer data. Walk-in customers who paid cash are given a separate customer number, so you still have the sales data.
    You are trying to determine staffing levels for each department. You know that the store becomes much busier during the end-of-the-year holiday season. For summer months, you have thought about combining staff from the departments. From conversations with experienced workers, you have determined that there is a maximum number of customers that can be handled by one person in a department. These numbers are expressed as monthly averages in the table.
    You are thinking about combining workers from some of the departments to save on staffing—especially over the spring and summer months. However, working multiple departments makes the sales staff less efficient. There are two considerations in combining staff members. First, if any of the departments are reduced to a staff of zero, sales in that department will drop by 10 percent for that month. Second, total staffing should be kept at the level defined by the monthly averages. If average staffing (total across all departments) falls below the total suggested, then sales in all departments will fall by 2 percent for each tenth of a percentage point below the suggested average.

    DepartmentCustomers/Month
    Clothing-Children180
    Clothing-Men150
    Clothing-Women180
    Electronic200
    Furniture150
    Household250
    Linen300
    Shoes300
    Sports400
    Tools340
  11. Using the database and a spreadsheet, determine how many workers we need in each department for each month. Present a plan for combining departments if it can save the company money. Assume that sales members cost an average of $1,000 a month. Two queries have already been created by the MIS department and are stored in the database: SalesbyMonth and SalesCountByMonth. The first totals the dollar value; the second counts the number of transactions.
  12. Write a report to upper management designating the appropriate sales staff levels for each department by month. Include data and graphs to support your position. (Hint: Use a spreadsheet that lets you enter various staffing levels in each department in each month, then calculate any sales declines.)
  13. Technology Toolbox

  14. Create the PivotTable report for Rolling Thunder Bicycles. Briefly summarize and patterns or problems you identify.
  15. Using the Rolling Thunder Bicycles query, create a PivotChart and compare sales of the different models over time. Identify any patterns that you see.
  16. Interview a manager (or research a case study), and identify a problem that could benefit from the use of a PivotTable or cube browser. Be sure to identify the main data elements and the purpose of the system. Sketch the primary screen for the PivotTable or PivotChart.
  17. Compute the average number of days it takes to build a bicycle (ShipDate – OrderDate) for each month. Import the data into Excel and forecast the trend. First forecast it based on all of the data. Second, forecast it for three time periods: (a) the early years, (b) the middle years, and (c) the most recent years. Look at the initial chart to estimate the breaks between these three sets, or just divide it into three equal-sized groups if you do not see any good break points. Comment on any differences or problems.
  18. Using federal data (start at www.fedstats.gov), compute a regression analysis of Rolling Thunder sales by state by year compared to at least population and income.
  19. Teamwork

  20. Have each person find and describe a problem that could benefit from a GIS. Make sure it needs a GIS, not just a mapping system. Combine the results and compare the types of problems to identify similarities.
  21. Go to the Department of Transportation website (http://www.transtats.bts.gov/DL_SelectFields.asp?Table_ID=247) and download airline data for a few different time periods. Include origin, destination, year, quarter, number of passengers, operating carrier group, and market fare. Warning: the files are big. Create a database table to hold the data. Build a PivotTable to analyze the data. Have each person work with the cube to spot any patterns or trends. Report any interesting information you find.
  22. Using Rolling Thunder Bicycles, have each person forecast the sales by one model type for six months. Combine the individual model results and compare this value to the forecast based only on total sales.
  23. Select an economic data series (check www.fedstats.gov). Place members into one of three subgroups. Have each group forecast the series using a different methodology. Compare the results. If you have sufficient data, leave out the most recent data, and then forecast those values and compare the forecasts to the actual.
  24. Define a problem that could benefit from an expert system. As a team, develop the basic rules that would be applied to the problem.
  25. Have each person find a problem that could benefit from a neural network. Describe how the system would be trained. Combine the individual comments and identify any commonalities.
  26. Rolling Thunder Database

  27. Identify shipments where receipts do not match the original order. Provide a count and value (and percentages) by supplier/manufacturer.
  28. Analyze sales and discounts by employee and by model type. Are some employees providing higher discounts than others? Are we discounting some models too much or not enough?
  29. Identify an area in which an expert system could help. Be specific and explain the advantages of using an ES for that area. Where would you find an expert to assist with creating the knowledge domain?
  30. Describe how new technologies might be used to improve decisions at the Rolling Thunder Bicycle company. What experimental and future technologies should we watch closely? If you could create an “intelligent” computer system for the company, what would it do and how would it be used to increase profits?
  31. What pattern-matching types of decisions arise at Rolling Thunder that could benefit from the use of neural networks?
  32. What aspects of customer service might be automated with expert systems? What are the potential advantages and disadvantages?