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3Q_STUDY_MATERIAL_GUIDE
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Fill in the blank.
_______ the forecast time horizon is a primary method for counteracting forecast
error.
_______ is the ratio between cumulative forecast error and the most recent estimate
of mean absolute deviation.
________ forecasting methods should be used for predicting the demand patterns of
new products introduced in the market.
Respond to the following based on your reading.
Describe each of the five demand components in a time series (of past demand data).
Using a simple three-period, moving average forecast model, what's the forecast of
demand for Week 6 given the historical demand levels shown below?
Week
Demand
1
24
2
19
3
30
4
25
5
31
Measured by the mean absolute deviation, which of the forecast methods—1, 2, or 3—
provides the highest degree of forecast accuracy for the five weeks of data shown
in the table below?
Week
Demand
Method 1
Method 2
Method 3
1
24
23
26
21
2
19
25
22
20
3
27
21
23
23
4
25
30
29
22
5
31
25
32
28
Decreasing
Tracking signal
Qualitative
Level is the relatively constant average demand during a time interval.
Trend is an increase or decrease in the average demand over time.
Seasonality is a regularly repeated pattern of increasing or decreasing demand,
such as yearly, each semester, weekly, or daily.
Cycle is increasing or decreasing demand over long periods, often many years. These
changes can be due to changes in the overall economy or changes in product or
service life cycles.
Random error reflects short-term fluctuations in demand that can't be forecast.
30 + 25 + 31 = 86
86 ÷ 3 = 28.67
Methods 2 and 3 are equal. Both methods, 2 and 3, have MAD = 14 ÷ 5 = 2.8.
(NOTE: MEAN ABSOLUTE DEVIATION IS PROVIDES THE HIGHEST DEGREE OF FORECAST ACCURACY)
Fill in the blank.
Aggregate planning assumes that facilities can only be changed over the _______
range.
A wait-and-see facility approach uses a _______ capacity cushion.
A single Ford plant builds a family of pickup trucks to serve the global market.
This is an example of a _______.
Respond to the following based on your reading.
Assume you've been assigned the task of identifying a chase strategy aggregate
production plan for the coming year. You've been informed that beginning inventory
is 500 units, your plan should provide an ending inventory for the year equal to
200 units, and you've been provided the following forecasts of aggregate demand.
Knowing that the typical objective of chase plans is to avoid carrying inventory,
what should you choose as the planned rate of production for the first quarter?
Quarter
Forecast
1
6,000
2
5,500
3
5,000
4
6,500
If a facility has a utilization rate of 80 percent, and current output levels
require 3,328 hours annually, what's the facility's annual capacity?
Describe the types of short-range, medium-range, and long-range capacity decisions.
Describe the most important questions to be answered concerning facilities
decisions. Apply the questions to a fast-food restaurant chain with expanding
demand.
long
small
product-focused facility
6,000 – 500 = 5,500. The planned rate of production would be 5,500 units.
3,328 ÷ 0.8 = 4,160. The facility's annual capacity would be 4,160 hours.
Short-range: Decisions are constrained by aggregate planning and facility
decisions. Allocate the available capacity by assigning it to specific activities.
Medium-range: Determine the workforce level and production output level within the
facility capacity available.
Long-range: Obtain the physical capacity that must be planned, developed, and
constructed before its intended use.
How much capacity is needed? In a fast-food restaurant chain, determine the
forecast demand and strategically decide the capacity cushion: large, medium, or
small.
How large should each facility be? In a fast-food restaurant chain, balance
economies of scale with diseconomies of scale and determine the appropriate size.
When is the capacity needed? In a fast-food restaurant chain, the timing may use
one of two strategies: preempt the competition, or wait and see. A preempt-the-
competition strategy is more likely in this example because the demand is already
known to be expanding.
Where should the facilities be located? In a fast-food restaurant chain, as with
most front-office services, the facilities must be located near customers. The firm
should also consider quantitative factors such as ROI, NPV, transportation issues,
taxes, and so on. The firm should also consider qualitative factors such as
language and norms, worker attitudes and availability, customer attitudes,
proximity to customers and suppliers, and competitors.
What types of facilities/capacity are needed? In a fast-food restaurant chain, this
will most likely result in a market-focused facility because the service must be
near its customers, within the market that it serves.
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Related Questions
Discuss how you would conduct sales
forecasting when working with
government aganecy. Be sure to include
considerations arising from the
pandemic.
arrow_forward
Two different forecasting techniques (F1 and F2) were used to forecast demand for cases of bottled water. Actual demand and the two
sets of forecasts are as follows:
PREDICTED DEMAND
Period
Demand
F1
F2
1
66
75
67
3
70
70
4
74
69
72
69
70
73
6.
72
68
75
7
80
77
8.
78
74
84
Click here for the Excel Data File
a. Compute MAD for each set of forecasts. Given your results, which forecast appears to be more accurate? (Round your answers to 2
decimal places.)
MAD F1
MAD F2
appears to be more accurate.
3o5 o o 0 o
677 6
N LO N N
677 6700
arrow_forward
How Forecasts is compared with predicted values? why these both terms are different?
arrow_forward
Historical demand for Peeps is as displayed in the table.
Month Demand
January 11
February 18
March 31
April 39
May 44
June 53
July 67
August 82
September 96
Develop forecasts from June through October using these techniques: Holt's method with alpha=0.2
and beta=0.1. For Holt's model, the level and trend for May are assumed to be 44 and
12. Judge which forecast method is the best based on MAD.
arrow_forward
Does the erroneous forecast of product demand can have serious consequences?
arrow_forward
I Consider the demand for trading cards listed below.
Month
Demand
Jan.
51,000
48,000
Feb.
March
55,000
April
May
58,000
66,000
June
69,000
80,000
July
Aug.
95,000
Use Excel to prepare a forecast for September, October, and November using linear regression Print
out the sheet of results, as well as a sheet containing the formulas that you used ( can be
used to toggle between displaying values and displaying formulas or you can click on
Formulas>Formula Auditing→Show Formulas.)
and for the cars is 16.000
arrow_forward
Director Very Busy needs to allocate time this week for office appointments, so he needs to forecast the
number of employees who will seek appointments. The director has gathered the following time series
data recently
Period Employee Appointments
4 weeks ago 95
3 weeks ago 80
2 week ago 65
last week 50
arrow_forward
The market demand for the newest smartphone is 1 million units. The selling price for the LG phone is $400.00. The cost is
$100 per unit. LG currently has market share of 10 percent. The marketing and sales expense is $5 million.
Assume market demand grows by 20%. Given the 20% increase in market demand, LG maintains its market share of 10%,
selling price of $400, unit cost of $100, and marketing and sales expense of $5 million. What is the new net marketing
contribution (NMC)?
O a. $36 million
Ob. $31 million
O. S7 million
O d. $12 million
arrow_forward
Consider the following demand data.
Period
6.
8.
6.
10
demand
130
452
428
470
478
Use Holt's method to obtain forecasts for periods 11,12, and 13. Use all data, Le., the forecast is determined after observing the demand
480
498
500
810
488
in period 10 and Ne10. Use the following initial estimates.
arrow_forward
4. Suppose we have a summary of forecasting techniques calculation results for Gundam Auto Sales
Inc. (in the prior item) as follows:
Mean
Next
Standard
Period
Error
Forecasting Method Used
Forecast
(MSE)
1.3-period UnWMA
10.42
3.24
2.4-period UnWMA
10.38
3.51
3.3-period WMA
10.83
3.03
4. Simple Exponential Smoothing
5. Trend Projection
8.24
5.04
11.43
1.16
a. Which among the techniques is the most reliable?
b. What does the result of the most reliable technique say?
arrow_forward
Bill's Bookstore is tracking its monthly demand for textbooks and has seen the following
demand pattern. Historical forecasts are also included.
MONTH FORECASTED DEMAND
ACTUAL DEMAND
April
150
165
May
220
210
June
215
200
July
245
250
August
205
225
Assess Bill's performance for the forecast in the table above using the Mean Absolute
Deviation (MAD). Only use the data for the months of April through August to calculate the
MAD.
arrow_forward
The demand of a product of a company is given below for the
periods. Can we use Winter method for forecasting demands of the
A following 3 periods? Why? If yes, apply it
past
4.
6.
Demand
27
31
40
31
35
45
arrow_forward
Mr. Geppetto uses exponential smoothing to predict revenue in his wood carving business. He uses a weight of = .4 for the naïve forecast and (1-) = .6 for the past forecast. What revenue did he predict for March using the data below?
MONTH REVENUE FORECAST
Nov 100 100
Dec 90 100
Jan 115 ----
Feb 110 ----
MARCH ? ?
arrow_forward
Vina Technology makes LCD display for mobile phones. In 2020 they sold 10,000 units at $400 each. Vina Technology have determined that the midpoint price elasticity for the LCD displays is −4.33. In 2021, Vina Technology is planning to increase the price of the LCD displays to $500. Forecast sales volume for 2021 assuming that all other things remain the same.
arrow_forward
I- Demand for a product is estimated to be Q=960 - 1.2P + 1.4Y +.003A
where, Q and P are the quantity and price of the product respectively, Y is income, and A is the advertising
expenditures. All the variables are in the natural logarithmic form and all the estimated coefficients are statistically
significant. The average annual sale and the average price of the product are 60000 units and $8000 respectively.
A. Price elasticity of demand is -------------, income elasticity of demand is ---------, advertising elasticity of demand
is
B. The optimum level of advertising spending for the firm is
arrow_forward
Using the accompanying log-log graph, answer the following questions:
500
400
300
200
Actual
Optimum
100
80
60
40
20
10
10
50
100 150
200
Total units produced
Labor-hours per unit
arrow_forward
The problem is based on the following data given. Observations of the demand for a certain part stocked at a parts supply depot during the calendar year 2013 were ( as shown ).
Determine the one-step-ahead forecasts for the demand for January 2014 using 3‑, 6-, and 12-month moving averages.
arrow_forward
Question 3
The number of tons of brake assemblies received at an auto parts distribution center last month was 625.
The forecast tonnage was 650 for last month. The company uses a simple exponential smoothing model with
a smoothing constant of 0.46 to develop its forecasts. What will be the company's forecast for the next
month?
Add your answer
arrow_forward
In the graph below, the which variable is NOT held constant? [Select] The red, dashed line is the [Select] 8 14 22 Line A X
Note:-
Do not provide handwritten solution. Maintain accuracy and quality in your answer.
Take care of plagiarism.
Answer completely.
You will get up vote for sure.
arrow_forward
Below is a table containing data on product demand for the most recent three months along with the
forecasts that had been made for those three previous months. Calculate the MSE.
Month Demand Forecast
1
308
310
388
390
344
342
23
arrow_forward
Jan '20
0.68
Feb '20
0.76
Mar '20
1.6
Apr '20
1.47
May '20
0.98
Jun '20
1.18
Jul '20
3.59
Aug '20
3.33
Sept '20
4.31
Oct '20
3.84
Nov '20
6.97
Dec '20
7.7
Using data above please provide one qualitative and two quantitative (Simple and weighted moving average) monthly forecasts in the United States for the holiday season in 2021
arrow_forward
Gg.111.
arrow_forward
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Related Questions
- Discuss how you would conduct sales forecasting when working with government aganecy. Be sure to include considerations arising from the pandemic.arrow_forwardTwo different forecasting techniques (F1 and F2) were used to forecast demand for cases of bottled water. Actual demand and the two sets of forecasts are as follows: PREDICTED DEMAND Period Demand F1 F2 1 66 75 67 3 70 70 4 74 69 72 69 70 73 6. 72 68 75 7 80 77 8. 78 74 84 Click here for the Excel Data File a. Compute MAD for each set of forecasts. Given your results, which forecast appears to be more accurate? (Round your answers to 2 decimal places.) MAD F1 MAD F2 appears to be more accurate. 3o5 o o 0 o 677 6 N LO N N 677 6700arrow_forwardHow Forecasts is compared with predicted values? why these both terms are different?arrow_forward
- Historical demand for Peeps is as displayed in the table. Month Demand January 11 February 18 March 31 April 39 May 44 June 53 July 67 August 82 September 96 Develop forecasts from June through October using these techniques: Holt's method with alpha=0.2 and beta=0.1. For Holt's model, the level and trend for May are assumed to be 44 and 12. Judge which forecast method is the best based on MAD.arrow_forwardDoes the erroneous forecast of product demand can have serious consequences?arrow_forwardI Consider the demand for trading cards listed below. Month Demand Jan. 51,000 48,000 Feb. March 55,000 April May 58,000 66,000 June 69,000 80,000 July Aug. 95,000 Use Excel to prepare a forecast for September, October, and November using linear regression Print out the sheet of results, as well as a sheet containing the formulas that you used ( can be used to toggle between displaying values and displaying formulas or you can click on Formulas>Formula Auditing→Show Formulas.) and for the cars is 16.000arrow_forward
- Director Very Busy needs to allocate time this week for office appointments, so he needs to forecast the number of employees who will seek appointments. The director has gathered the following time series data recently Period Employee Appointments 4 weeks ago 95 3 weeks ago 80 2 week ago 65 last week 50arrow_forwardThe market demand for the newest smartphone is 1 million units. The selling price for the LG phone is $400.00. The cost is $100 per unit. LG currently has market share of 10 percent. The marketing and sales expense is $5 million. Assume market demand grows by 20%. Given the 20% increase in market demand, LG maintains its market share of 10%, selling price of $400, unit cost of $100, and marketing and sales expense of $5 million. What is the new net marketing contribution (NMC)? O a. $36 million Ob. $31 million O. S7 million O d. $12 millionarrow_forwardConsider the following demand data. Period 6. 8. 6. 10 demand 130 452 428 470 478 Use Holt's method to obtain forecasts for periods 11,12, and 13. Use all data, Le., the forecast is determined after observing the demand 480 498 500 810 488 in period 10 and Ne10. Use the following initial estimates.arrow_forward
- 4. Suppose we have a summary of forecasting techniques calculation results for Gundam Auto Sales Inc. (in the prior item) as follows: Mean Next Standard Period Error Forecasting Method Used Forecast (MSE) 1.3-period UnWMA 10.42 3.24 2.4-period UnWMA 10.38 3.51 3.3-period WMA 10.83 3.03 4. Simple Exponential Smoothing 5. Trend Projection 8.24 5.04 11.43 1.16 a. Which among the techniques is the most reliable? b. What does the result of the most reliable technique say?arrow_forwardBill's Bookstore is tracking its monthly demand for textbooks and has seen the following demand pattern. Historical forecasts are also included. MONTH FORECASTED DEMAND ACTUAL DEMAND April 150 165 May 220 210 June 215 200 July 245 250 August 205 225 Assess Bill's performance for the forecast in the table above using the Mean Absolute Deviation (MAD). Only use the data for the months of April through August to calculate the MAD.arrow_forwardThe demand of a product of a company is given below for the periods. Can we use Winter method for forecasting demands of the A following 3 periods? Why? If yes, apply it past 4. 6. Demand 27 31 40 31 35 45arrow_forward
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SEE MORE QUESTIONS
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Recommended textbooks for you
- Managerial Economics: Applications, Strategies an...EconomicsISBN:9781305506381Author:James R. McGuigan, R. Charles Moyer, Frederick H.deB. HarrisPublisher:Cengage Learning
Managerial Economics: Applications, Strategies an...
Economics
ISBN:9781305506381
Author:James R. McGuigan, R. Charles Moyer, Frederick H.deB. Harris
Publisher:Cengage Learning