George Kyparisis owns a company that manufactures sailboats. Actual demand for George's sailboats during each of the past four seasons was as follows:SeasonYear1234Winter1,4001,2801,080960Spring1,5601,4001,6401,500SummerFall1,0202,1002,0402,000600770690560George has forecasted that annual demand for his sailboats in year 5 will equal 6,500 sailboats.Based on the given data and using the seasonal model, the demand level for George's sailboats in the spring of year 5 will be 1810 sailboats (enter your final answer as a whole number andround all intermediate calculations to two decimal places).

Approach to solving the question: Detailed explanation: The demand level for George's sailboats in…

Answered: George Kyparisis owns a company that…

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...

See similar textbooks

Similar questions

The Fieldale Dairy produces cheese, which it sells to su-permarkets and food processing companies. Because of concerns about cholesterol and fat in cheese, the companyhas seen demand for its products decline during the pastdecade. It is now considering introducing some alternativelow-fat dairy products and wants to determine how much available plant capacity it will have next year. The com-pany has developed an exponential smoothing forecast with 0.40 to forecast cheese. The actual demand andthe forecasts from its model are shown as follows: Assess the accuracy of the forecast model using MAD and cu-mulative error, and determine if the forecast error reflects bias using a tracking signal and 3 MAD control limits. If the ex-ponential smoothing forecast model is biased, determine if a linear trend model would provide a more accurate forecast.
part b)
The manager of XYZ carpet cleaning company needs a weekly forecast of the number of customers expected next year. The carpet cleaning business is seasonal with the following weekly demand data from the past 2 years Week 1 in Year 1 Demand=102 Week 1 in Year 2 Demand=114 Year 1 Demand=10608 Year 2 Demand=10708 Q8a) Calculate the seasonal factor for Week 1 Q8b) Calculate the demand in the first week in the third year ( knowing that Year 3 Forecasted Demand is11779)
A bakery called Sweet Treats operates in a busy downtown area. It is trying to decide whether to add another oven to its kitchen next year. The number of cakes baked over the last four quarters are as follows: Q1 = 950, Q2 = 1,100, Q3 = 1,050, and Q4 = 1,200 cakes. The forecast for cakes baked in the second quarter was 1,000 cakes. a) What is the forecast for the fifth quarter using exponential smoothing with a = 0.15? b) Given only what you learned in a, should the bakery add another oven?
Compile a forecast for sales in Q1, Q2, Q3, and Q4 for 2013.
Sales of Volkswagen's popular Beetle have grown steadily at auto dealerships in Nevada during the past 5 years (see table below). Year 1 2 3 4 5 Sales 460 502 520 575 575 a) Forecasted sales for year 6 using the trend projection (linear regression) method are sales (round your response to one decimal place).
Assume today's date is 12/31/2023. Actual sales and forecast for 2023 are given below. Actual Forecast 2023 72.4 66.9 59.5 61.2 260 2023 69 67 Q3 61 Q4 59 Total 256 Obtain the MAD Q1 Q2 7.2 1.8 -1
The following table shows the actual demand observed over the last 11 years: Year 1 2 3 4 5 6 7 8 9 10 11 Demand 6 8 4 9 13 8 11 14 9 13 7 Part 2 Using exponential smoothing with α = 0.40 and a forecast for year 1 of 5.0, provide the forecast from periods 2 through 12 (round your responses to one decimal place). Year 1 2 3 4 5 6 7 8 9 10 11 12 Forecast 5.0 5.45.4 6.46.4 5.55.5 6.96.9 9.39.3 8.88.8 9.79.7 11.411.4 10.410.4 11.511.5 9.79.7 Part 3 Provide the forecast from periods 2 through 12 using the naive approach (enter your responses as whole numbers). Year 2 3 4 5 6 7 8 9 10 11 12 Forecast enter your response here enter your response here enter your response here enter your…
What is the seasonal relative for the summer? (Please keep 3 decimal places for your answer)

Recommended textbooks for you

Practical Management Science

Operations Management

ISBN:

9781337406659

Author:

WINSTON, Wayne L.

Publisher:

Cengage,

Operations Management

ISBN:

9781259667473

Author:

William J Stevenson

Publisher:

McGraw-Hill Education

Operations and Supply Chain Management (Mcgraw-hi…

Operations Management

ISBN:

9781259666100

Author:

F. Robert Jacobs, Richard B Chase

Publisher:

McGraw-Hill Education

Practical Management Science

Operations Management

ISBN:

9781337406659

Author:

WINSTON, Wayne L.

Publisher:

Cengage,

Operations Management

ISBN:

9781259667473

Author:

William J Stevenson

Publisher:

McGraw-Hill Education

Operations and Supply Chain Management (Mcgraw-hi…

Operations Management

ISBN:

9781259666100

Author:

F. Robert Jacobs, Richard B Chase

Publisher:

McGraw-Hill Education

Business in Action

Operations Management

ISBN:

9780135198100

Author:

BOVEE

Publisher:

PEARSON CO

Purchasing and Supply Chain Management

Operations Management

ISBN:

9781285869681

Author:

Robert M. Monczka, Robert B. Handfield, Larry C. Giunipero, James L. Patterson

Publisher:

Cengage Learning

Production and Operations Analysis, Seventh Editi…

Operations Management

ISBN:

9781478623069

Author:

Steven Nahmias, Tava Lennon Olsen

Publisher:

Waveland Press, Inc.

SEE MORE TEXTBOOKS