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hotel operations management
Operations Management 10th Edition Jay Heizer, Barry Render - Solutions
Discuss the school's options.
What revenues are to be expected in 2010 and 2011?
Develop a forecasting model, justifying its selection over other techniques, and project attendance through 2011.
Salinas Savings and Loan is proud of its long tradi- tion in Topeka, Kansas. Begun by Teresita Salinas 20 years after World War II, the S&L has bucked the trend of financial and liquid- ity problems that has repeatedly plagued the industry. Deposits have increased slowly but surely over the years,
Sundar Balakrishnan, the general manager of Precision Engineering Corporation (PEC), thinks that his firm's engineering services contracted to highway construction firms are directly related to the volume of highway construction business contracted with companies in his geographic area. He wonders
City Cycles has just started selling the new Z-10 moun- tain bike, with monthly sales as shown in the table. First, co-owner Amit wants to forecast by exponential smoothing by initially setting February's forecast equal to January's sales with a = .1. Co-owner Barbara wants to use a three-period
Thirteen students entered the business program at Hillcrest 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 Hillcrest program for 2 years. Student H A B SAT Score 421 377
Using the 911 call data in Problem 4.43, forecast calls for weeks 2 through 25 with a trend-adjusted exponential smooth- ing model. Assume an initial forecast for 50 calls for week 1 and an initial trend of zero. Use smoothing constants of c.3 and =.2. Is this model better than that of Problem
Emergency calls to the 911 system of Gainesville, Florida, for the past 24 weeks are shown in the following table: 7 8 35 20 30 9 10 35 20 15 11 12 40 18 19 20 Week 1 2 3 4 5 6 Calls 50 35 25 40 45 Week 13 14 15 16 17 Calls 55 35 25 55 55 21 22 23 24 40 35 60 75 50 40 65a) Compute the exponentially
Des Moines Power and Light has been collecting data on demand for electric power in its western subregion for only the past 2 years. Those data are shown in the table at the top of the next page. To plan for expansion and to arrange to borrow power from neighboring utilities during peak periods,
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 following data have been obtained: Year (summer months) 1 2 3 4 5 Number of Tourists (in millions) 7 Ridership (in millions)
Using the data in Problem 4.39, apply linear regres- sion to study the relationship between the robbery rate and Dr. Sweeney's patient load. If the robbery rate increases to 131.2 in year 11, how many phobic patients will Dr. Sweeney treat? If the robbery rate drops to 90.6, what is the patient
Dr. Susan Sweeney, a Providence, Rhode Island, psy- chologist, specializes in treating patients who are agoraphobic (i.e., afraid to leave their homes). The following table indicates how many patients Dr. Sweeney has seen each year for the past 10 years. It also indicates what the robbery rate was
City government has collected the following data on annual sales tax collections and new car registrations: Annual Sales Tax Collections (in millions) New Car Registrations (in thousands) Determine the following: 1.0 1.4 1.9 2.0 1.8 2.1 2.3 10 12 12 15 16 14 17 20a) The least-squares regression
Sales of music stands at Johnny Ho's music store in Columbus, Ohio, over the past 10 weeks are shown in the table below.a) Forecast demand for each week, including week 10, using expo- nential smoothing with a = .5 (initial forecast = 20). Week Demand Week Demand 1 20 6 29 234 21 7 28 8 37 9 25 10
Accountants at the firm Michael Vest, 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 year. Then they developed the following multiple-regression
John Howard, a Mobile, Alabama, real estate devel- oper, has devised a regression model to help determine residential housing prices in South Alabama. The model was developed using recent sales in a particular neighborhood. The price (X) of the house is based on the size (square footage = X) of the
The number of auto accidents in a certain region is related to the regional number of registered automobiles in thousands (X,), alcoholic beverage sales in $10,000s (X2), and rainfall in inches (X3). Furthermore, the regression formula has been calculated as:where Y = a + bX + by X+b3x3 Y = number
The number of transistors (in millions) made at a plant in Japan during the past 5 years follows: Year 1 Transistors 140 2 3 4 5 160 190 200 210a) Forecast the number of transistors to be made next year, using linear regression.b) Compute the mean squared error (MSE) when using linear regression.c)
The following data relate the sales figures of the bar in Marty and Polly Starr's small bed-and-breakfast inn in Marathon, Florida, to the number of guests registered that week: Week Guests 1 16 2 12 3 18 4 14 Bar Sales $330 270 380 300a) Perform a linear regression that relates bar sales to guests
Brian Buckley has developed the following forecast- ing model: where =36+4.3x demand for Aztec air conditioners and x=the outside temperature (F)a) Forecast demand for the Aztec when the temperature is 70F.b) What is demand when the temperature is 80F?c) What is demand when the temperature is 90F?
Central States Electric Company estimates its demand trend line (in millions of kilowatt hours) to be: D = 77 +0.430 where refers to the sequential quarter number and Q=1 for winter 1986. In addition, the multiplicative seasonal factors are as follows: Quarter Factor (Index) Winter .8 Spring 1.1
Attendance at Los Angeles's newest Disneylike attraction, Vacation World, has been as follows: Guests Guests Quarter (in thousands) Quarter (in thousands) Winter '07 73 Summer '08 124 Spring '07 104 Fall '08. 52 Summer '07 168 Winter '09 89 Fall '07 74 Spring '09 146 Winter '08 65 Summer '09 205
Mark Cotteleer owns a company that manufactures sailboats. Actual demand for Mark's sailboats during each season in 2006 through 2009 was as follows:Year Season 2006 2007 2008 2009 Winter 1,400 1,200 1,000 900 Spring 1,500 1,400 1,600 1,500 Summer 1,000 2,100 2,000 1,900 Fall 600 750 650 500 Mark
The following gives the number of accidents that occurred on Florida State Highway 101 during the past 4 months: Month Number of Accidents January February March April 30 40 60 90 Forecast the number of accidents that will occur in May, using least- squares regression to derive a trend equation. P
Howard Weiss, owner of a musical instrument distrib- utorship, thinks that demand for bass drums may be related to the number of television appearances by the popular group Stone Temple Pilots during the previous month. Weiss has collected the data shown in the following table: Demand for Bass
Sales of vegetable dehydrators at Bud Banis's dis- count department store in St. Louis 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, April, May, and June of 2010):Month 2009-2010
Refer to Problem 4.21. Complete the trend-adjusted exponential-smoothing forecast computations for periods 7, 8, and 9.Confirm that your numbers for F, T., and FIT, match those in Table 4.1(p. 150). P
Refer to the trend-adjusted exponential smoothing illustration in Example 7 on pages 149-150. Using o.2 and = 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 for month 4.In this problem, show your calculations
Resolve Problem 4.19 with a .1 and .8. Using MSE, determine which smoothing constants provide a better fore- cast. P
Income at the law firm Smith and Wesson for the period February to July was as follows: Month Income (in $ thousand) February March April May June July 70.0 68.5 64.8 71.7 71.3 72.8.Use trend-adjusted exponential smoothing to forecast the law firm's August income. Assume that the initial forecast
Consider the following actual (A,) and forecast (F) demand levels for a product: Time Period, Actual Demand, Forecast Demand, A 1 2 3 4 25357 50 42 56 46 1888 50 50 48 50 5 The first forecast, F, was derived by observing A, and setting F, equal to A,. Subsequent forecasts were derived by
Refer to Solved Problem 4.1. Using smoothing con- stants of 6 and .9, develop forecasts for the sales of VW Beetles. What effect did the smoothing constant have on the forecast? Use MAD to determine which of the three smoothing constants (.3, .6, or .9) gives the most accurate forecast. X ....
Refer to Solved Problem 4.1 on page 170.Use a 3-year moving average to forecast the sales of Volkswagen Beetles in Nevada through 2010. What is the MAD? P
Following are two weekly forecasts made by two dif- ferent 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: Forecasts Week Method 1 Method 2 Actual Demand 1234 0.90 0.80 0.70 1.05 1.20
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: Year 1 2 3 4 5 6 Heart Transplants 45 50 52 56 58 ? The director of medical services predicted 6 years ago that demand in year 1 would be 41
Consider the following actual and forecast demand lev- els for Big Mac hamburgers at a local McDonald's restaurant: Day Monday Actual Demand 88 Forecast Demand 88 Tuesday Wednesday Thursday 200 72 68 88 84 48 80 Friday The forecast for Monday was derived by observing Monday's demand level and
a) Use exponential smoothing with a smoothing con- stant of 0.3 to forecast the registrations at the seminar given in Problem 4.10. To begin the procedure, assume that the forecast for year 1 was 5,000 people signing up.b) What is the MAD? PX
Data collected on the yearly registrations for a Six Sigma seminar at the Quality College are shown in the following table: 6 7 8 9 10 11 Year 1 2 3 4 5 45 10 8 79 12 14 15 Registrations 4 6.(000)a) Develop a 3-year moving average to forecast registrations from year 4 to year 12.b) Estimate demand
Dell uses the CR5 chip in some of its laptop computers. The prices for the chip during the past 12 months were as follows: Month Price per Chip Month Price per Chip January $1.80 July 1.80 February 1.67 August 1.83 March 1.70 September 1.70 April 1.85 October 1.65 May 1.90 November 1.70 June 1.87
The actual demand for the patients at Omaha Emer- gency Medical Clinic for the first six weeks of this year follows: Week Actual No. of Patients 123456 65 62 70 48 63 52 Clinic administrator Marc Schniederjans wants you to forecast patient demand at the clinic for week 7 by using this data. You
The monthly sales for Telco 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 20 November 21 December 23a) Plot the monthly sales data.b) Forecast January sales using each of the following: i) Naive method.
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 2345 4,000 3,400 3,800 3,700a) Forecast the mileage for next year
A check-processing center uses exponential smoothing to forecast the number of incoming checks each month. The number of checks received in June was 40 million, while the forecast was 42 million. A smoothing constant of .2 is used.a) What is the forecast for July?b) If the center received 45
Refer to Problem 4.2. Develop a forecast for years 2 through 12 using exponential smoothing with a=4 and a forecast for year 1 of 6.Plot your new forecast on a graph with the actual data and the naive forecast. Based on a visual inspection, which forecast is better? P
Year 1 2 3 4 S 6 7 8 9 10 11 Demand 7 9 59 13 8 12 13 9 11 7a) 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
The following gives the number of pints of type A 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 28 368 October 5 374a) Forecast the demand for the week of October 12 using a 3-week moving average.b)
Use a tracking signal 164 142
Conduct a regression and correlation analysis 158 exponential smoothing, and trend methods
Apply the naive, moving-average,
Explain when to use each of the four LOS: Develop seasonal indices 154 qualitative models 139
Compute three measures of forecast accuracy 145
Understand the three time horizons and which models apply for each 136
Define operations management
Explain the distinction between goods and services L04: Compute single-factor productivity LOS: Compute multifactor productivity
Explain the difference between production and productivity
Identify the critical variables in enhancing productivity
Figure
outlines the operations, finance/accounting, and marketing functions of three organizations. Prepare a chart sim- ilar to Figure
outlining the same functions for one of the following:a. a newspaperb. a drugstorec. a college libraryd. a suminer campe. a small costume-jewelry factory
This year, Benson, Inc., will produce 57,600 hot water heaters at its plant in Yulee, Florida, in order to meet expected global demand. To accomplish this, each laborer at the Yulee plant will work 160 hours per month. If the labor productivity at the plant is
hot water heaters per labor-hour, how many laborers are employed at the plant?
Lori produces "Final Exam Care Packages" for resale by her sorority. She is currently working a total of 5 hours per day to produce 100 care packages.a) What is Lori's productivity? *Note: means the problem may be solved with POM for Windows and/or Excel OM.b) Lori thinks that by redesigning the
Eric Johnson makes billiard balls in his New England plant. With recent increases in his costs, he has a newfound interest in efficiency. Eric is interested in determining the productivity of his organization. He would like to know if his organization is maintain- ing the manufacturing average of
Eric Johnson (using data from Problem 1.6) determines his costs to be as follows: Labor: $10 per hour Resin: $5 per pound Capital expense: 1% per month of investment Energy: $.50 per BTU. Show the percent change in productivity for one month last year versus one month this year, on a multifactor
David Upton is president of Upton Manufacturing, a producer of Go-Kart tires. Upton makes 1,000 tires per day with the following resources: Labor: Raw material: Energy: Capital costs:a) What is the labor 400 hours per day @ $12.50 per hour 20,000 pounds per day @ $1 per pound $5,000 per day $10,000
Cunningham Performance Auto, Inc., modifies 375 autos per year. The manager, Peter Cunningham, is interested in obtaining a measure of overall performance. He has asked you to provide him with a multifactor measure of last year's performance. as a benchmark for future comparison. You have assembled
Charles Lackey operates a bakery in Idaho Falls, Idaho. Because of its excellent product and excellent location, demand has increased by 25% in the last year. On far too many occasions, cus- tomers have not been able to purchase the bread of their choice. Because of the size of the store, no new
loaves per labor-hour, how many workers will Lackey need to add? (Hint: Each worker works 160 hours per month.)
Refer to Problems
and 1.14. If Charles Lackey's utility costs remain constant at $500 per month, labor at $8 per hour, and cost of ingredients at $0.35 per loaf, but Charles does not pur- chase the blender suggested in Problem 1.14, what will the productiv- ity of the bakery be? What will be the percent increase or
In December, General Motors produced 6,600 cus- tomized vans at its plant in Detroit. The labor productivity at this plant is known to have been
vans per labor-hour during that month. 300 laborers were employed at the plant that month.a) How many hours did the average laborer work that month?b) If productivity can be increased to
vans per hour, how many hours would the average laborer work that month?
What is the productivity of the processing facility, with the equipment currently in use?
What would the productivity of the plant become if the new sys- tem were purchased and implemented?
What would be the amount of additional expense on equipment that would make productivity of the two systems equal?
What might happen if energy costs increase in the future?
From your knowledge of production processes and from the case and the video, identify how each of the 10 decisions of OM is applied at Frito-Lay.
How would you determine the productivity of the production process at Frito-Lay?
How are the 10 decisions of OM different when applied by the operations manager of a production process such as Frito-Lay versus a service organization such as Hard Rock Cafe (see the Hard Rock Cafe video case below)?
From your knowledge of restaurants, from the video, from the Global Company Profile that opens this chapter, and from the case itself, identify how each of the 10 decisions of operations management is applied at Hard Rock Cafe.
How would you determine the productivity of the kitchen staff and wait staff at Hard Rock?
How are the 10 decisions of OM different when applied to the operations manager of a service operation such as Hard Rock versus an automobile company such as Ford Motor Company?
Services often:a) are tangible.e) are knowledge based.b) are standardized.d) are low in customer interaction.e) have consistent product definition.
Productivity increases each year in the United States are a result of three factors:a) labor, capital, managementb) engineering, labor, capitalc) engineering, capital, quality controld) engineering, labor, data processinge) engineering, capital, data processing
Define strategy.
The text provides three primary ways-strategic approaches (differentiation, cost, and response)-for achieving competitive advantage. Provide an example of each not given in the text. Support your choices. (Hint: Note the examples provided in the text.)
Within the food service industry (restaurants that serve meals to customers, but not just fast food), find examples of firms that have sustained competitive advantage by competing on the basis of (1) cost leadership, (2) response, and (3) differentiation. Cite one example in each category; provide
Match the product with the proper parent company and country in the table Product Arrow Shirts Braun Household Appliances Lotus Autos Firestone Tires Godiva Chocolate Parent Companya. Volkswagenb. Bidermann Internationalc. Bridgestoned. Campbell Soupe. Credit Lyonnais Hagen-Dazs Ice Cream (USA)f.
Develop a ranking for corruption in the following countries: Mexico, Turkey, Denmark, the U.S., Taiwan, Brazil, and another country of your choice. (Hint: See sources such as Transparency International, Asia Pacific Management News, and The Economist.)
Develop a ranking for competitiveness and/or business environment for Britain, Singapore, the U.S., Hong Kong, and Italy. (Hint: See the Global Competitive Report, World Economic Forum, Geneva, and The Economist.)
How does ALDI's strategy lead to a competitive advantage? How does the company achieve this strategy?
Does ALDI's low-cost strategy imply that the company offers low quality? Why is quality important, regardless of competitive strategy?
State Regal Marine's mission in your own words.
Identify the strengths, weaknesses, opportunities, and threats that are relevant to the strategy of Regal Marine.
How would you define Regal's strategy?
How would each of the 10 operations management decisions apply to operations decision making at Regal Marine?
Identify the strategy changes that have taken place at Hard Rock Cafe since its founding in 1971.
As Hard Rock Cafe has changed its strategy, how has its responses to some of the 10 decisions of OM changed?
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