Operations and Supply Chain Management, 9th Edition WileyPLUS Registration Card + Loose-leaf Print Companion
9th Edition
ISBN: 9781119371618
Author: Roberta S. Russell
Publisher: Wiley (WileyPLUS Products)
expand_more
expand_more
format_list_bulleted
Concept explainers
Videos
Textbook Question
Chapter 12, Problem 7P
The Intrepid mutual fund of growth stocks has had the following average monthly price for the past 10 months.
Compute the exponentially smoothed
Expert Solution & Answer
Want to see the full answer?
Check out a sample textbook solution
Students have asked these similar questions
By selecting Cigna Accredo pharmacy that i identify in my resand compare the current feedback system against the “Characteristics of a Good Multiple Source Feedback Systems” described in section 8-3-3. What can be improved? As a consultant, what recommendations would you make?
Scenario
You have been given a task to create a demand forecast for the second year of sales of a premium outdoor grill.
Accurate forecasts are important for many reasons, including for the company to ensure they have the materials
they need to create the products required in a certain period of time. Your objective is to minimize the forecast
error, which will be measured using the Mean Absolute Percentage Error (MAPE) with a goal of being below 25%.
You have historical monthly sales data for the past year and access to software that provides forecasts based on
five different forecasting techniques (Naïve, 3-Month Moving Average, Exponential Smoothing for .2, Exponential
Smooth for .5, and Seasonal) to help determine the best forecast for that particular month. Based on the given
data, you will identify trends and patterns to create a more accurate forecast.
Approach
Consider the previous month's forecast to identify which technique is most effective. Use that to forecast the next…
Approach
Consider the previous month's forecast to identify which technique is most effective. Use that to forecast the next
month.
Remember to select the forecasting technique that produces the forecast error nearest to zero. For example:
a. Naïve Forecast is 230 and the Forecast Error is -15.
b. 3-Month Moving Forecast is 290 and the Forecast Error is -75.
c. Exponential Smoothing Forecast for .2 is 308 and the Forecast Error is -93.
d. Exponential Smoothing Forecast for .5 is 279 and the Forecast Error is -64.
e. Seasonal Forecast is 297 and the Forecast Error is -82.
The forecast for the next month would be 230 as the Naïve Forecast had the Forecast Error closest to zero with a
-15. This forecasting technique was the best performing technique for that month. You do not need to do any
external analysis-the forecast error for each strategy is already calculated for you in the tables below.
Naïve
Month Period
Actual
Demand
Naïve Forecast
Error
3-
Month
Moving
Forecast
3-
Month
Moving…
Chapter 12 Solutions
Operations and Supply Chain Management, 9th Edition WileyPLUS Registration Card + Loose-leaf Print Companion
Ch. 12 - List some of the operations and functions in a...Ch. 12 - What is the difference between quantitative...Ch. 12 - Describe the difference between short- and...Ch. 12 - Prob. 4QCh. 12 - Why is accurate forecasting so important to...Ch. 12 - Discuss the relationship between forecasting and...Ch. 12 - Prob. 7QCh. 12 - Describe the Delphi method for forecasting.Ch. 12 - What is the difference between a trend and a cycle...Ch. 12 - How is the moving average method similar to...
Ch. 12 - In the chapter examples for time series methods,...Ch. 12 - What effect on the exponential smoothing model...Ch. 12 - How does adjusted exponential smoothing differ...Ch. 12 - What determines the choice of the smoothing...Ch. 12 - How does the linear trend line forecasting model...Ch. 12 - Of the time series models presented in this...Ch. 12 - What advantages does adjusted exponential...Ch. 12 - Describe how a forecast is monitored to detect...Ch. 12 - Explain the relationship between the use of a...Ch. 12 - Selecting from MAD, MAPD, MSE, E, and E, which...Ch. 12 - What is the difference between linear and multiple...Ch. 12 - Define the different components (y, x, a, and b)...Ch. 12 - A company that produces video equipment, including...Ch. 12 - The Hartley-Davis motorcycle dealer in the...Ch. 12 - The manager of the I-85 Carpet Outlet needs to be...Ch. 12 - The LawnPlus Fertilizer Company distributes...Ch. 12 - Graph the demand data in Problem 12.3. Can you...Ch. 12 - The chairperson of the department of management at...Ch. 12 - The manager of the Excom Service Station wants to...Ch. 12 - The Intrepid mutual fund of growth stocks has had...Ch. 12 - The Oceanside Hotel is adjacent to City Coliseum,...Ch. 12 - Mary Hernandez has invested in a stock mutual fund...Ch. 12 - Globetron manufactures components for use in small...Ch. 12 - The Bee Line Caf is well known for its popular...Ch. 12 - For the demand data in Problem 12.11, develop a...Ch. 12 - Develop a seasonally adjusted forecast for the...Ch. 12 - Backstreets Pizza delivery service has randomly...Ch. 12 - The Willow River Mining Company mines and ships...Ch. 12 - The Great Northwest Outdoor Company is a catalog...Ch. 12 - Townside Food Vending operates vending machines in...Ch. 12 - The town aquatic center has an indoor pool that...Ch. 12 - Develop an adjusted exponential smoothing forecast...Ch. 12 - During the past five months the emergency room at...Ch. 12 - At its craft store and through its website, the...Ch. 12 - A group of business students at Tech organized a...Ch. 12 - Temco Industries has developed a forecasting model...Ch. 12 - Monitor the forecast in Problem 12.23 for bias...Ch. 12 - Develop a statistical control chart for the...Ch. 12 - Monitor the adjusted exponential smoothing...Ch. 12 - Develop an exponential smoothing forecast with =...
Additional Business Textbook Solutions
Find more solutions based on key concepts
Describe and give examples of some of the following types of pricing objectives: profit, market share, competit...
MARKETING:REAL PEOPLE,REAL CHOICES
The yield to maturity for each bond. Introduction: Yield to maturity (YTM) is the rate of return projected for ...
Corporate Finance (4th Edition) (Pearson Series in Finance) - Standalone book
BE12-12 The management of Uhuru Inc. is trying to decide whether it can increase its dividend. During the curre...
Financial Accounting: Tools for Business Decision Making, 8th Edition
The flowchart for the process at the local car wash. Introduction: Flowchart: A flowchart is a visualrepresenta...
Principles of Operations Management: Sustainability and Supply Chain Management (10th Edition)
(Measuring growth) Septian, Inc.’s return on equity is 16 percent, and the management plans to retain 60 percen...
Foundations Of Finance
11-13. Discuss how your team is going to identify the existing competitors in your chosen market. Based on the ...
Business Essentials (12th Edition) (What's New in Intro to Business)
Knowledge Booster
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, operations-management and related others by exploring similar questions and additional content below.Similar questions
- Scenario You have been given a task to create a demand forecast for the second year of sales of a premium outdoor grill. Accurate forecasts are important for many reasons, including for the company to ensure they have the materials they need to create the products required in a certain period of time. Your objective is to minimize the forecast error, which will be measured using the Mean Absolute Percentage Error (MAPE) with a goal of being below 25%. You have historical monthly sales data for the past year and access to software that provides forecasts based on five different forecasting techniques (Naïve, 3-Month Moving Average, Exponential Smoothing for .2, Exponential Smooth for .5, and Seasonal) to help determine the best forecast for that particular month. Based on the given data, you will identify trends and patterns to create a more accurate forecast. Approach Consider the previous month's forecast to identify which technique is most effective. Use that to forecast the next…arrow_forwardUse the internet to obtain crash safety ratings for passenger vehicles. Then, answer thesequestions:a. Which vehicles received the highest ratings? The lowest ratings?b. How important are crash-safety ratings to new car buyers? Does the degree of importancedepend on the circumstances of the buyer?c. Which types of buyers would you expect to be the most concerned with crash-safety ratings?d. Are there other features of a new car that might sway a buyer from focusing solely on crashsafety? If so, what might they be?arrow_forward“Implementing a Performance Management Communication Plan at Accounting, Inc.” Evaluate Accounting Inc.’s communication plan. Specifically, does it answer all of the questions that a good communication plan should answer? Which questions are left unanswered? How would you provide answers to the unanswered questions? “Implementing an Appeals Process at Accounting, Inc.” If you were to design an appeals process to handle these complaints well, what would be the appeal process? Describe the recommended process and why.arrow_forward
- The annual demand for water bottles at Mega Stores is 500 units, with an ordering cost of Rs. 200 per order. If the annual inventory holding cost is estimated to be 20%. of unit cost, how frequently should he replenish his stocks? Further, suppose the supplier offers him a discount on bulk ordering as given below. Can the manager reduce his costs by taking advantage of either of these discounts? Recommend the best ordering policy for the store. Order size Unit cost (Rs.) 1 – 49 pcs. 20.00 50 – 149 pcs. 19.50 150 – 299 pcs. 19.00 300 pcs. or more 18.00arrow_forwardHelp answer showing level work and formulasarrow_forwardI need to forecast using a 3-Period-Moving-Average-Monthly forecasting model which I did but then I need to use my forecast numbers to generate a Master Production Schedule (MPS) I have to Start with actual sales (my own test data numbers) for August-2022 Oct-2022 i need to create MPS to supply demand starting November-2022 April 2023 I just added numbers without applying formulas to the mps on the right side of the spreadsheet because I do not know how to do it. The second image is the example of what it should look like. Thank You.arrow_forward
- Solve the following Question 1. How do volume and variety affect the process selection and layout types? Discuss 2. How is the human resource aspect important to operation function? Discuss 3. Discuss the supply network design and its impact on the overall performance of the organization.arrow_forwardHelp with question?arrow_forwardWhat are some good examples of bullet points on a resume for a Christian Elementary School?arrow_forward
- What is an example of a cover letter for a Christian School Long-Term Substitute Teaching position?arrow_forwardThe supply chain is a conventional notion, but organizations are only really interested in making products that they can sell to customers. Provided they have reliable supplies of materials and reasonable transport for finished products, logistics is irrelevant. Do you think this is true? If yes, explain, and if no, clearly explain as well.arrow_forwardworking as a program operations managerarrow_forward
arrow_back_ios
SEE MORE QUESTIONS
arrow_forward_ios
Recommended textbooks for you
Contemporary MarketingMarketingISBN:9780357033777Author:Louis E. Boone, David L. KurtzPublisher:Cengage Learning
MarketingMarketingISBN:9780357033791Author:Pride, William MPublisher:South Western Educational Publishing
Practical Management ScienceOperations ManagementISBN:9781337406659Author:WINSTON, Wayne L.Publisher:Cengage,
Contemporary Marketing
Marketing
ISBN:9780357033777
Author:Louis E. Boone, David L. Kurtz
Publisher:Cengage Learning
Marketing
Marketing
ISBN:9780357033791
Author:Pride, William M
Publisher:South Western Educational Publishing
Practical Management Science
Operations Management
ISBN:9781337406659
Author:WINSTON, Wayne L.
Publisher:Cengage,
Single Exponential Smoothing & Weighted Moving Average Time Series Forecasting; Author: Matt Macarty;https://www.youtube.com/watch?v=IjETktmL4Kg;License: Standard YouTube License, CC-BY
Introduction to Forecasting - with Examples; Author: Dr. Bharatendra Rai;https://www.youtube.com/watch?v=98K7AG32qv8;License: Standard Youtube License