Question: The actual demand for the patients at

> Prepare a bill of material for (a) a pair of eyeglasses and its case or (b) a fast-food sandwich (visit a local sandwich shop like Subway, McDonald’s, Blimpie, Quizno’s; perhaps a clerk or the manager will provide you with details on the quantity or weig

> Based on the competitiveness ranking developed by the Global Competitiveness Index (www.weforum.org), rank the following countries from most competitive to least: Mexico, Switzerland, the U.S., and China.

> Construct a house of quality matrix for a wristwatch. Be sure to indicate specific customer wants that you think the general public desires. Then complete the matrix to show how an operations manager might identify specific attributes that can be measure

> Given the contribution made on each of the three products in the following table and their position in the life cycle, identify a reasonable operations strategy for each: COMPANY CONTRIBUTION PRODUCT CONTRIBUTION (%: TOTAL ANNUAL CONTRIBUTION DIVIDE

> Prepare a product-by-value analysis for the following products, and given the position in its life cycle, identify the issues likely to confront the operations manager and his or her possible actions. Product Alpha has annual sales of 1,000 units and a c

> What are some of the questions that can be answered with PERT and CPM?

> The following are monthly actual and forecast demand levels for May through December for units of a product manufactured by the D. Bishop Company in Des Moines: What is the value of the tracking signal as of the end of December? MONTH ACTUAL DEMAND

> Sales of tablet computers at Ted Glickman’s electronics store in Washington, D.C., over the past 10 weeks are shown in the table below: a) Forecast demand for each week, including week 10, using exponential smoothing with a 5 .5 (init

> Dave Fletcher, the general manager of North Carolina Engineering Corporation (NCEC), thinks that his firm’s engineering services contracted to highway construction firms are directly related to the volume of highway construction busines

> Thirteen students entered the business program at Sante Fe College 2 years ago. The following table indicates what each student scored on the high school SAT math exam and their grade-point averages (GPAs) after students were in the Sante Fe program for

> Bus and subway ridership for the summer months in London, England, is believed to be tied heavily to the number of tourists visiting the city. During the past 12 years, the data on the next page have been obtained: a) Plot these data and decide if a l

> Using the data in Problem 4.30, apply linear regression to study the relationship between the robbery rate and Dr. Fok’s patient load. If the robbery rate increases to 131.2 in year 11, how many phobic patients will Dr. Fok treat? If the robbery rate dro

> Based on the corruption perception index developed by Transparency International (www.transparency.org), rank the following countries from most corrupt to least: Venezuela, Denmark, the U.S., Switzerland, and China.

> City government has collected the following data on annual sales tax collections and new car registrations: Determine the following: a) The least-squares regression equation. b) Using the results of part (a), find the estimated sales tax collections if

> Accountants at the Tucson firm, Larry Youdelman, CPAs, believed that several traveling executives were submitting unusually high travel vouchers when they returned from business trips. First, they took a sample of 200 vouchers submitted from the past yea

> Rhonda Clark, a Slippery Rock, Pennsylvania, real estate developer, has devised a regression model to help determine residential housing prices in northwestern Pennsylvania. The model was developed using recent sales in a particular neighborhood. The pri

> The following data relate the sales figures of the bar in Mark Kaltenbach’s small bed-and-breakfast inn in Portand, to the number of guests registered that week: a) Perform a linear regression that relates bar sales to guests (not to

> Café Michigan’s manager, Gary Stark, suspects that demand for mocha latte coffees depends on the price being charged. Based on historical observations, Gary has gathered the following data, which show the numbers of these coffees sold over six different

> Mark Gershon, owner of a musical instrument distributorship, thinks that demand for guitars may be related to the number of television appearances by the popular group Maroon 5 during the previous month. Mark has collected the data shown in the following

> Boulanger Savings and Loan is proud of its long tradition in Winter Park, Florida. Begun by Michelle Boulanger 22 years after World War II, the S&L has bucked the trend of financial and liquidity problems that has repeatedly plagued the industry. Dep

> Storrs Cycles has just started selling the new Cyclone mountain bike, with monthly sales as shown in the table. First, co-owner Bob Day wants to forecast by exponential smoothing by initially setting February’s forecast equal to January

> Using the 911 call data in Problem 4.31, forecast calls for weeks 2 through 25 with a trend-adjusted exponential smoothing model. Assume an initial forecast for 50 calls for week 1 and an initial trend of zero. Use smoothing constants of a = .3 and b = .

> Emergency calls to the 911 system of Durham, North Carolina, for the past 24 weeks are shown in the following table: a) Compute the exponentially smoothed forecast of calls for each week. Assume an initial forecast of 50 calls in the first week, and us

> Match the product with the proper parent company and country in the table below: PRODUCT PARENT COMPANY COUNTRY Arrow Shirts a. Volkswagen 1. France Braun Household 2. Great b. Bidermann International Appliances Britain Volvo Autos c. Bridgestone 3.

> Dr. Lillian Fok, a New Orleans psychologist, specializes in treating patients who are agoraphobic (i.e., afraid to leave their homes). The following table indicates how many patients Dr. Fok has seen each year for the past 10 years. It also indicates wha

> The number of disk drives (in millions) made at a plant in Taiwan during the past 5 years follows: YEAR……………DISK DRIVES 1…………………………..140 2…………………………..160 3…………………………..190 4………………………….200 5…………………………..210 a) Forecast the number of disk drives to be made

> North Dakota Electric Company estimates its demand trend line (in millions of kilowatt hours) to be: D = 77 + 0.43Q Where Q refers to the sequential quarter number and Q 5 1 for winter of Year 1. In addition, the multiplicative seasonal factors are as f

> Attendance at Orlando’s newest Disney like attraction, Lego World, has been as follows: Compute seasonal indices using all of the data. GUESTS (IN THOUSANDS) QUARTER GUESTS QUARTER (IN THOUSANDS) Winter Year 1 73 Summer Year 2 124

> George Kyparisis owns a company that manufactures sailboats. Actual demand for George’s sailboats during each of the past four seasons was as follows: George has forecasted that annual demand for his sailboats in year 5 will equal 5,6

> In the past, Peter Kelle’s tire dealership in Baton Rouge sold an average of 1,000 radials each year. In the past 2 years, 200 and 250, respectively, were sold in fall, 350 and 300 in winter, 150 and 165 in spring, and 300 and 285 in summer. With a major

> The following gives the number of accidents that occurred on Florida State Highway 101 during the past 4 months: MONTH……………………NUMBER OF ACCIDENTS January……….....…………………….30 February……………………..………..40 March……………………………..……60 April…………………………………….90 Forecas

> Sales of quilt covers at Bud Banis’s department store in Carbondale over the past year are shown below. Management prepared a forecast using a combination of exponential smoothing and its collective judgment for the 4 months (March, Apr

> Refer to Problem 4.21. Reference Problem 4.21: Refer to the trend-adjusted exponential smoothing illustration in Example 7 on pages 122 – 123. Using a = .2 and b = .4, we forecast sales for 9 months, showing the detailed calculation

> Refer to the trend-adjusted exponential smoothing illustration in Example 7 on pages 122 – 123. Using a = .2 and b = .4, we forecast sales for 9 months, showing the detailed calculations for months 2 and 3. In Solved Problem 4.2, we continued the process

> What are the objectives of supply chain management?

> Resolve Problem 4.19 with a = .1 and b = .8. Using MSE, determine which smoothing constants provide a better forecast. Reference Problem 4.19: Income at the architectural firm Spraggins and Yunes for the period February to July was as follows: Use tre

> Income at the architectural firm Spraggins and Yunes for the period February to July was as follows: Use trend-adjusted exponential smoothing to forecast the firm’s August income. Assume that the initial forecast average for February

> Consider the following actual (A t) and forecast (F t) demand levels for a commercial multiline telephone at Office Max: The first forecast, F1, was derived by observing A1 and setting F1 equal to A1. Subsequent forecast averages were derived by expone

> Refer to Solved Problem 4.1 on page 144. Solved Problem 4.1: Sales of Volkswagen’s popular Beetle have grown steadily at auto dealerships in Nevada during the past 5 years (see table below). The sales manager had predicted before the

> Refer to Solved Problem 4.1 on page 144. Solved Problem 4.1: Sales of Volkswagen’s popular Beetle have grown steadily at auto dealerships in Nevada during the past 5 years (see table below). The sales manager had predicted before the n

> Refer to Solved Problem 4.1 on page 144. Solved Problem 4.1: Sales of Volkswagen’s popular Beetle have grown steadily at auto dealerships in Nevada during the past 5 years (see table below). The sales manager had predicted before the n

> Following are two weekly forecasts made by two different methods for the number of gallons of gasoline, in thousands, demanded at a local gasoline station. Also shown are actual demand levels, in thousands of gallons. What are the MAD and MSE for each

> As you can see in the following table, demand for heart transplant surgery at Washington General Hospital has increased steadily in the past few years: The director of medical services predicted 6 years ago that demand in year 1 would be 41 surgeries.

> Consider the following actual and forecast demand levels for Big Mac hamburgers at a local McDonald’s restaurant: The forecast for Monday was derived by observing Monday’s demand level and setting Mondayâ€

> Use exponential smoothing with a smoothing constant of 0.3 to forecast the registrations at the seminar given in Problem 4.10. Reference Problem 4.10: Data collected on the yearly registrations for a Six Sigma seminar at the Quality College are shown in

> As part of a study for the Department of Labor Statistics, you are assigned the task of evaluating the improvement in productivity of small businesses. Data for one of the small businesses you are to evaluate are shown at right. The data are the monthly

> Data collected on the yearly registrations for a Six Sigma seminar at the Quality College are shown in the following table: a) Develop a 3-year moving average to forecast registrations from year 4 to year 12. b) Estimate demand again for yearâ&#1

> Lenovo uses the ZX-81 chip in some of its laptop computers. The prices for the chip during the past 12 months were as follows: a) Use a 2-month moving average on all the data and plot the averages and the prices. b) Use a 3-month moving average and add

> Daily high temperatures in St. Louis for the last week were as follows: 93, 94, 93, 95, 96, 88, 90 (yesterday). a) Forecast the high temperature today, using a 3-day moving average. b) Forecast the high temperature today, using a 2-day moving average. c)

> The monthly sales for Yazici Batteries, Inc., were as follows: MONTH…………………SALES January…………………….20 February……………………21 March……………………….15 April…………………………14 May………………………….13 June…………………………16 July………………………….17 August…………………….18 September………………20 October………

> The Carbondale Hospital is considering the purchase of a new ambulance. The decision will rest partly on the anticipated mileage to be driven next year. The miles driven during the past 5 years are as follows: YEAR……….MILEAGE 1………………3,000 2……………..4,000

> Refer to Problem 4.2. Reference Problem 4.2: a) Plot the above data on a graph. Do you observe any trend, cycles, or random variations? b) Starting in year 4 and going to year 12, forecast demand using a 3-year moving average. Plot your forecast on th

> a) Plot the above data on a graph. Do you observe any trend, cycles, or random variations? b) Starting in year 4 and going to year 12, forecast demand using a 3-year moving average. Plot your forecast on the same graph as the original data. c) Starting i

> The following gives the number of pints of type B blood used at Woodlawn Hospital in the past 6 weeks: WEEK OF………………...PINTS USED August 31………………………360 September 7………………….389 September 14………………..410 September 21………………..381 September 28……………....3

> Figure 1.1 outlines the operations, finance/accounting, and marketing functions of three organizations. Prepare a chart similar to Figure 1.1 outlining the same functions for one of the following: a. a newspaper b. a drugstore c. a college library d. a s

> Brown’s, a local bakery, is worried about increased costs—particularly energy. Last year’s records can provide a fairly good estimate of the parameters for this year. Wende Brown, the owner, does not

> Kimpel Products makes pizza ovens for commercial use. James Kimpel, CEO, is contemplating producing smaller ovens for use in high school and college kitchens. The activities necessary to build an experimental model and related data are given in the follo

> Define chase strategy.

> List the strategic objectives of aggregate planning. Which one of these is most often addressed by the quantitative techniques of aggregate planning? Which one of these is generally the most important?

> Explain what the term aggregate in “aggregate planning” means.

> Define aggregate planning.

> Why are S&OP teams typically cross-functional?

> Define sales and operations planning.

> What is SCOR, and what purpose does it serve?

> What is e-procurement?

> Development of Version 2.0 of a particular accounting software product is being considered by Jose Noguera’s technology firm in Baton Rouge. The activities necessary for the completion of this project are listed in the following table:

> Explain how FedEx uses the Internet to meet requirements for quick and accurate delivery.

> What is the value of online auctions in e-commerce?

> What is CPFR?

> How does a traditional adversarial relationship with suppliers change when a firm makes a decision to move to a few suppliers?

> What are three basic approaches to negotiations?

> What is vertical integration? Give examples of backward and forward integration.

> How do we distinguish between the types of risk in the supply chain?

> What is the objective of logistics management?

> Define supply chain management.

> What happens to the ability to forecast for periods farther into the future?

> Three activities are candidates for crashing on a project network for a large computer installation (all are, of course, critical). Activity details are in the following table: a) What action would you take to reduce the critical path by 1 day? b) Assu

> Give examples of industries in which demand forecasting is dependent on the demand for other products.

> Give examples of industries that are affected by seasonality. Why would these businesses want to filter out seasonality?

> What is the difference between a dependent and an independent variable?

> Explain, in your own words, the meaning of the correlation coefficient. Discuss the meaning of a negative value of the correlation coefficient.

> What is the purpose of a tracking signal?

> In your own words, explain adaptive forecasting.

> Which forecasting technique can place the most emphasis on recent values? How does it do this?

> Explain the value of seasonal indices in forecasting. How are seasonal patterns different from cyclical patterns?

> What effect does the value of the smoothing constant have on the weight given to the recent values?

> Define time series.

> What is the minimum cost of crashing the following project that Roger Solano manages at Slippery Rock University by 4 days? NORMAL CRASH TIME ACTIVITY (DAYS) (DAYS) TIME NORMAL CRASH IMMEDIATE COST COST PREDECESSOR(S) A 6 5 $ 900 $1,000 6 300 400 4

> What is the primary difference between a time-series model and an associative model?

> What three methods are used to determine the accuracy of any given forecasting method? How would you determine whether time-series regression or exponential smoothing is better in a specific application?

> What is the basic difference between a weighted moving average and exponential smoothing?

> Explain why such forecasting devices as moving averages, weighted moving averages, and exponential smoothing are not well suited for data series that have trends.

> A skeptical manager asks what medium-range forecasts can be used for. Give the manager three possible uses/purposes.

> Identify the three forecasting time horizons. State an approximate duration for each.

> Identify and briefly describe the two general forecasting approaches.

> What is a qualitative forecasting model, and when is its use appropriate?

> What is the difference between the waterfall approach and agile project management?

> Name some of the widely used project management software programs.

> Assume that the activities in Problem 3.11 have the following costs to shorten: A, $300/week; B, $100/week; C, $200/ week; E, $100/week; and F, $400/week. Assume also that you can crash an activity down to 0 weeks in duration and that every week you can

> How the variance of the total project is computed in PERT?