OPERATIONS MANAGEMENT IN THE SUPPLY CHAIN: DECISIONS & CASES (Mcgraw-hill Series Operations and Decision Sciences)
7th Edition
ISBN: 9780077835439
Author: Roger G Schroeder, M. Johnny Rungtusanatham, Susan Meyer Goldstein
Publisher: McGraw-Hill Education
expand_more
expand_more
format_list_bulleted
Concept explainers
Textbook Question
Chapter 10.S, Problem 3P
The SureGrip Tire Company produces tires of various sizes and shapes. The demand for tires tends to follow a quarterly seasonal pattern with a trend. For a particular type of tire the company's current estimates are as follows: A0 = 10,000, T0 = 1,000, = .8, R-x = 1.2, R-a = 1.5, and R-3 = .75.
- a. The company has just observed the first quarter of demand D1 = 6000 and would like to update its
forecast for each of the next four quarters using a = P = Y = .4. - b. When demand is observed for the second quarter, it is D7 = 15,000. How much error is there in the forecast?
- c. Update the forecasts again for the coming year, using the second-quarter demand data.
Expert Solution & Answer
Want to see the full answer?
Check out a sample textbook solutionStudents have asked these similar questions
The manager of Carpet City outlet needs to make an accurate forecast of demand for Soft Shag Carpet (its biggest seller). If the manager does not order enough carpet from the carpet mill, customers will buy their carpet from one of Carpet City’s many competitors. The manager has collected the following demand data for the past 8 months:
Month
Demand for Soft Shag Carpet (1000 yd)
1
8
2
12
3
7
4
9
5
15
6
11
7
10
8
12
Required showing all workings:
Compute a 3-month moving average forecast for months 4 through 9.
Compute a weighted 3-month moving average forecast for months 4 through 9. Assign weights of 0.55, 0.33 and 0.12 to the months in sequence, starting with the most recent month.
Given the demand data, answer the following questions below.
Year Sales
1 - 123
2 - 118
3 - 109
4 - 112
5 -100
6 -110
7 -124
8 - ?
What will be the forecast demand in Year 8 using Naïve method?a.) 120b.) 110c.) 115d.) 124
A newly operated company producing household items would want to forecast its sales volume for the next month. It has been in operation for ten (10) months now. For the past ten (10) months, forecast and sales data for its top selling Item A are as follow:
Time Period
Forecasted Value
Actual Sales (Quantity)
10th month
405
345
9th month
400
380
8th month
410
400
7th month
370
375
6th month
330
360
5th month
320
325
4th month
320
315
3rd month
305
300
2nd month
290
295
1st month
300
280
The operations manager observes the fluctuations on the sales quantity over the 10-month period that the company is in operation. To forecast for the 11th month, the team decided to evaluate options on what forecasting method to use. Their options are:
To use the Moving Average Method using the sales data for the past 10 months,
To use the Exponential Smoothing Average assigning a smoothing constant of .6 and
To use the Trend-adjusted Exponential Smoothing assigning smoothing constants α =…
Chapter 10 Solutions
OPERATIONS MANAGEMENT IN THE SUPPLY CHAIN: DECISIONS & CASES (Mcgraw-hill Series Operations and Decision Sciences)
Ch. 10.S - Ace Hardware sells spare parts for lawn mowers....Ch. 10.S - eXcel The daily demand for chocolate donuts from...Ch. 10.S - The SureGrip Tire Company produces tires of...Ch. 10.S - eXcelManagement believes there is a seasonal...Ch. 10.S - Management of the ABC Floral Shop believes that...Ch. 10 - Prob. 1DQCh. 10 - What is the distinction between forecasting and...Ch. 10 - Qualitative forecasting methods should be used...Ch. 10 - Describe the uses of qualitative, time-series, and...Ch. 10 - Qualitative forecasts and causal forecasts are not...
Ch. 10 - Prob. 6DQCh. 10 - What are the advantages of exponential smoothing...Ch. 10 - How should the choice of be made for exponential...Ch. 10 - Prob. 9DQCh. 10 - Prob. 10DQCh. 10 - Explain how CPFR can be used to reduce forecasting...Ch. 10 - Under what circumstances might CPFR be useful, and...Ch. 10 - Daily demand for marigold flowers at a large...Ch. 10 - The number of daily calls for the repair of Speedy...Ch. 10 - 3-The ABC Floral Shop sold the following number of...Ch. 10 - The Handy Dandy Department Store had forecast...Ch. 10 - 5-The Yummy Ice Cream Company uses the exponential...Ch. 10 - Using the data in problem 2, prepare exponentially...Ch. 10 - Compute the errors of bias and absolute deviation...Ch. 10 - eXcel At the ABC Floral Shop, an argument...Ch. 10 - Only a portion of the following table for...Ch. 10 - A candy store has sold the following number of...Ch. 10 - eXcel A grocery store sells the following number...Ch. 10 - Prob. 12PCh. 10 - The Easyfit tire store had demand for tires shown...Ch. 10 - Prob. 14P
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
- At the beginning of each week, a machine is in one of four conditions: 1 = excellent; 2 = good; 3 = average; 4 = bad. The weekly revenue earned by a machine in state 1, 2, 3, or 4 is 100, 90, 50, or 10, respectively. After observing the condition of the machine at the beginning of the week, the company has the option, for a cost of 200, of instantaneously replacing the machine with an excellent machine. The quality of the machine deteriorates over time, as shown in the file P10 41.xlsx. Four maintenance policies are under consideration: Policy 1: Never replace a machine. Policy 2: Immediately replace a bad machine. Policy 3: Immediately replace a bad or average machine. Policy 4: Immediately replace a bad, average, or good machine. Simulate each of these policies for 50 weeks (using at least 250 iterations each) to determine the policy that maximizes expected weekly profit. Assume that the machine at the beginning of week 1 is excellent.arrow_forwardThe Baker Company wants to develop a budget to predict how overhead costs vary with activity levels. Management is trying to decide whether direct labor hours (DLH) or units produced is the better measure of activity for the firm. Monthly data for the preceding 24 months appear in the file P13_40.xlsx. Use regression analysis to determine which measure, DLH or Units (or both), should be used for the budget. How would the regression equation be used to obtain the budget for the firms overhead costs?arrow_forwardFollowing data on the demand for sewing machines manufactured by Taylor and Son Co. have been compiled for the past 10 years. Year 1971 1972 1973 1974 1975 78 1976 1977 1978 1979 99 1980 106 Demand 58 65 73 76 87 88 93 in (1000 units) Please estimate the value of demand for next 3 years using trend analysis.arrow_forward
- The manager of the Carpet City outlet needs to make an accurate forecast of the demand for Soft Shag carpet (its biggest seller). If the manager does not order enough carpet from the carpet mill, customers will buy their carpet from one of Carpet City’s many competitors. The manager has collected the following demand data for the past 8 months: Demand for Soft Shag Month Carpet (1,000 yd.) 1 8 2 12 3 7 4 9 5 15 6 11 7 10 8 12 a. Compute a 3-month moving average forecast for months 4 through 9. b. Compute a weighted 3-month moving average forecast for months 4 through 9. Assign weights of .55, .33, and .12 to the months in sequence, starting with the most recent month. c. Compare the two forecasts by using MAD. Which forecast appears to be more accurate?arrow_forwardThe manager of the Carpet City outlet needs to make an accurate forecast of the demand for Soft Shag carpet (its biggest seller). If the manager does not order enough carpet from the carpet mill, customers will buy their carpet from one of Carpet City's many competitors. The manager has collected the following demand data for the past 8 months: Demand for Soft Shag Month Carpet (1,000 yd.) 1 8 2 12 3 7 4 9 5 15 6 11 7 10 8 12 Compute the exponentially smoothed forecast (a = .20) for the given data. Compute an adjusted exponentially smoothed forecast (with a = .20 and β = .20) for the given dataarrow_forwardplease help to solve thisarrow_forward
- The following shows five months forecast demand and the corresponding actual demand for certain product.arrow_forwardThe following table shows the three-period moving average and five-period moving average for monthly sales of Budget Furniture's during 2019. Moving averages of Budget Furniture's Time period Months Sales Three-period moving average (rounded off to Five-period moving average four decimals) R'millions 1 Jan 7 5.0000 6.2 February 5.6667 6.6 March 5 7.0000 B 4 April 8.3333 8.2 May 7 9.3333 8.4 June 8.3333 9.6 7 July 12 8.6667 9.6 August 4 A 9.2 September 10 10.6667 10 October 13 10.6667 11 November 9 12 December 10 The seasonal index for the month of February in 2019 is: LOarrow_forward12.2. The manager of the I-85 Carpet Outlet needs to be able to forecast accurately the demand for Soft Shag carpet (its biggest seller). If the manager does not order enough carpet from the carpet mill, customers will buy their carpets from one of the outlet’s many competitors. The manager has collected the following demand data for the past eight months: Month Demand for Soft Shag Carpet (1000 yd)1 52 103 64 85 146 107 98 12 a. Compute a three-month moving average forecast for months 4 through 9. b. Compute a weighted three-month moving average forecast for months 4 through 9. Assign weights of .55, .33, and .12 to the months in sequence, starting with…arrow_forward
- A company has the following demand history by seasons over a two-year period. The production planner deseasonalizes the data first. Then, using the exponential smoothing method with a = 0.30 and F= 80, she forecasts the demand for the first season of 2021. Finally, the planner reseasonalizes her forecast. What is her final forecast for the first season of 2021? 2019 2020 Season 1 84 88 Season 2 76 71 Season 3 93 97 Season 4 46 51 Season 5 77 73 O a. 87.50 O b. 77.57 Oc. 79.87 O d. 75.98 O e. 86.43arrow_forwardDemand Planning - Which of the following is an example of a micro forecast input? Customer promotion schedule Government legislation Construction of a new manufacturing plant All of the abovearrow_forwardThe K&R Camera shop sells all the latest cameras and accessories. To meet customer demand, the manager must forecast demand for items she sells. Lately the XR-42S zoom lens has been very popular. Recent monthly demand for this item has been as shown: Number of Lenses Month Sold 1 12 17 2 3 4 15 20 18 23 6.arrow_forward
arrow_back_ios
SEE MORE QUESTIONS
arrow_forward_ios
Recommended textbooks for you
- Practical Management ScienceOperations ManagementISBN:9781337406659Author:WINSTON, Wayne L.Publisher:Cengage,Contemporary MarketingMarketingISBN:9780357033777Author:Louis E. Boone, David L. KurtzPublisher:Cengage Learning
Practical Management Science
Operations Management
ISBN:9781337406659
Author:WINSTON, Wayne L.
Publisher:Cengage,
Contemporary Marketing
Marketing
ISBN:9780357033777
Author:Louis E. Boone, David L. Kurtz
Publisher:Cengage Learning
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