6. Consider the following data table. (12 Points)a) Forecast demand using exponential smoothing with an apha of 0.25, and an initial forecast of128.0 for period 1.b) Calculate the MAD and MSE.PeriodReal demand130138129140345133

Error = Real demand - Forecast Absolute Error = Positive value of Error Error Square = square of…

Answered: 6. Consider the following data table.…

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

Sales of tablet computers at Ted Glickman's electronicsstore in Washington, D.C., over the past 10 weeks are shownin the ta ble below: a) Forecast demand for each week, including week 10, usingexponential smoothing with a = .5 (in itial forecast = 20).b) Compute the MAD.c) Compute the tracking signal.
A recently introduced product has a positive trend in sales. The product’s sales have increased in each of its first eight weeks on the market. The forecast for week 6 was 1,325 (F6 = 1,325), with A6 = 1,283 and T6 = 42. Using smoothing components α = 0.20 and β = 0.30, develop forecasts for weeks 7 and 8.
a. A manufacturing firm manufactures electric motors. The sales during the last four months (starting from the first month) has been: 96, 75, 89, and 68 units. The forecast for the first month was 80 units. Using the exponential smoothing method with a = .70, predict the next moth's sales. Calculate the mean absolute percent deviation for this data and comment on the performance of the forecasting method. b. Using the rule lot size=multiple of 50, determine the planned order releases for each week in the following MRP record. The lead time is 2 weeks. IS
Sales of Volkswagen's popular Beetle have grown steadily at auto dealerships in Nevada during the past 5 years (see table below) Year Sales 1 455 2 495 516 4 563 584 a) Forecasted sales for year 6 using a 3-year moving average is sales (round your response to one decimal place). b) The MAD for a 3-year moving average based forecast is sales (round your response to one decimal place). c) The MSE for a 3-year moving average based forecast is sales (round your response to the nearest whole number).
(4) Exponential smoothing with a smoothing constant equal to 0.15, assuming a March forecast of 15(000). (Round your intermediate forecast values and final answer to 2 decimal places.) Forecast thousands (5) A linear trend equation. (Round your intermediate calculations and final answer to 2 decimal places.) Yt thousands
Use simple exponential smoothing with a=0.6 to forecast chargers sales for February through May. Assume that the forecast for January was 24 chargers. *** Month January Charger Sales 42 February 33 March 28 April 59 May ? a) What will be the forecast for May? b) Calculate the MSE.
Asvnch Problem - Statistical Forecasting Data Set – Eunice BC Fashion Monthly Sales, in million units. Year Total Sales Year Total Sales 2010 38 2016 43 2011 41 2017 40 2012 40 2018 45 2013 45 2019 47 2014 50 2020 42 2015 42 2021 48 Questions: a. Find the naïve forecast. b. Use the 3 years moving average forecast. c. Have a 5 years weighted moving average. d. Develop forecast using exponential smoothing with a = 0.2. e. Determine the trend line equation and present the forecast. f. Find the best forecast for year 2022. Note: Use the first 5 years as the training samples and the last 5 years as the forecasting samples. Solve it in Excel Sheet/Sheet with Equations as possible.
Given the following original forecast and actual data: Month Actual Forecast Jan 600 Feb 475 Mar 550 Apr 575 May 643 Jun 662 Jul ??? ??? Using a 2 month weighted moving average with weights of 75% for the previous month and 25% for two months back, what is the forecast for July. Round your answer to 1 decimal place. 400 -- —— ——
Marianne Schwartz, the owner of Handy Man Rentals, rents carpet cleaners to contractors and walk-in customers. She is interested in arriving at a forecast of rentals so that she can order the correct quantities of supplies that go with the cleaners. Data for the last 10 weeks are shown here. Part 2 Week 1 2 3 4 5 6 7 8 9 10 Rentals 23 22 25 23 22 11 21 34 19 13 Part 3 a. Prepare a forecast for weeks 6 through 10 by using a 4-week moving average LOADING... . (Enter your responses rounded to two decimal places.) Week Forecast 6 enter your response here Part 4 7 enter your response here Part 5 8 enter your response here Part 6 9 enter your response here Part 7 10 enter your response here Part 8 What is the…
Given the following historical data, what is the simple three-period moving average forecast for period 6? Period 1 2 3 4 5 67.67 68.2 67.3 68.4 Value 73 66 64 73 66
Assume that your stock of sales merchandise is maintained based on the forecast demand. If the distributor's sales personnel call on the first day of each month, compute your forecast sales by each of the three methods requested here. June July August ACTUAL 144 184 210 a. Using a simple three-month moving average, what is the forecast for September? Note: Round your answer to 2 decimal places. Forecast for September b. Using a weighted moving average, what is the forecast for September with weights of 0.30, 0.40, and 0.30 for June, July, and August, respectively? Note: Do not round intermediate calculations. Round your answer to 2 decimal places. Forecast for September
Given the following original forecast and actual data: Month Actual Forecast Jan 600 Feb 475 Mar 550 Apr 575 May 643 Jun 662 Jul ??? ??? Using a 2 month weighted moving average with weights of 75% for the previous month and 25% for two months back, what is the forecast for July. Round your answer to 1 decimal place. 400 -- —— ——

SEE MORE QUESTIONS

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

6. Consider the following data table. (12 Points) a) Forecast demand using exponential smoothing with an alpha of 0.25, and an initial forecast of 128.0 for period 1. b) Calculate the MAD and MSE. Period Real demand 2 138 3 129 4 140 5 133A