Question 1

The moving average gives a forecast of the mean value of demand in future periods, if there is no noticeable trend or seasonality in the data.

Accepted Answer

A) True 
 B)False

Question 2

Linear regression analysis always involves predicting one dependent variable based on one independent variable.

Accepted Answer

A) True 
 B)False

Question 3

Compare seasonal effects and cyclical effects.

Accepted Answer

A cycle is longer (typically s

Question 4

What is a tracking signal? 
How is it calculated? 
Explain the connection between adaptive smoothing and tracking signals.

Accepted Answer

A tracking signal is a measure of how we

Question 5

A backlog is an accumulation of customer orders that a manufacturer has promised for delivery at some future date.

Accepted Answer

A) True 
 B)False

Question 6

_________ analysis is a statistical approach that relies heavily on historical demand data to project the future size of demand and it recognizes trends and seasonal patterns.

Accepted Answer

The answer of  _________ analysis is a statistical approach...

Question 7

Exponential smoothing is an expensive forecasting method.

Accepted Answer

A) True 
 B)False

Question 8

Random variation is an aspect of demand that increases the accuracy of the forecast.

Accepted Answer

A) True 
 B)False

Question 9

It is now near the end of May and you must prepare a forecast for June for a certain product. The forecast for May was 900 units. The actual demand for May was 1000 units. You are using the exponential smoothing method with a = 0.20. The forecast for June is

Accepted Answer

A)  less than 925 units. 
B)  greater than or equal to 925 units but less than 950 units. 
C)  greater than or equal to 950 units but less than 1000 units. 
D)  greater than or equal to 1000 units. 
A)  less than 925 units. 
B)  greater than or equal to 925 units but less than 950 units. 
C)  greater than or equal to 950 units but less than 1000 units. 
D)  greater than or equal to 1000 units.

Question 10

Promotional campaigns are designed to increase sales with creative pricing.

Accepted Answer

A) True 
 B)False

Question 11

Table 11.8.
$$\begin{array} { | c | c | } 
\hline \text { Month } & \begin{array} { c } 
\text { No. Machines } \
\text { Sold }
\end{array} \
\hline 1 & 50 \
2 & 65 \
3 & 52 \
4 & 56 \
5 & 55 \
6 & 60 \
\hline
\end{array}$$
-Use the information in Table 11.8. Use the weighted moving average method to calculate the forecast for month 7. The weights are 0.50, 0.30, and 0.20, where 0.50 refers to the most recent demand.

Accepted Answer

A)  less than or equal to 56 
B)  greater than 56 but less than or equal to 58 
C)  greater than 58 but less than or equal to 61 
D)  greater than 61 
A)  less than or equal to 56 
B)  greater than 56 but less than or equal to 58 
C)  greater than 58 but less than or equal to 61 
D)  greater than 61

Question 12

_________ is a method for incorporating a trend in an exponentially smoothed forecast.

Accepted Answer

Trend- adj

Question 13

Demands for a newly developed salad bar at the Great Professional restaurant for the first six months of this year are shown below. What is the forecast for July if the weighted moving average method is used? (Use weights of 0.5 for the most recent demand, 0.3, and 0.2.)

$$\begin{array} { | l | l | } 
\hline \text { Month } & \begin{array} { c } 
\text { Demand } \
\text { (Units) }
\end{array} \
\hline \text { January } & 394 \
\text { February } & 365 \
\text { March } & 380 \
\text { April } & 439 \
\text { May } & 412 \
\text { June } & 467 \
\hline
\end{array}$$

Accepted Answer

A)  less than or equal to 432 units 
B)  greater than 432 units but less than or equal to 442 units 
C)  greater than 442 units but less than or equal to 452 units 
D)  greater than 452 
A)  less than or equal to 432 units 
B)  greater than 432 units but less than or equal to 442 units 
C)  greater than 442 units but less than or equal to 452 units 
D)  greater than 452

Question 14

_________ is the act of clustering several similar products or services so that companies can obtain more accurate forecasts.

Accepted Answer

The answer of  _________ is the act of clustering...

Question 15

The simplest form of the Illini are regression model is: y = a + bx. Based on this basic model, briefly explain how linear regression is used as a causal method of forecasting.

Accepted Answer

In linear regression, one variable, refe

Question 16

Use the following quarterly data to develop the seasonal indexes: $$\begin{array} { | l | l | l | l | } 
\hline \text { Quarter } & \text { Year 1 } & \text { Year 2 } & \text { Year 3 } \
\hline 1 & 205 & 198 & 240 \
2 & 389 & 415 & 420 \
3 & 475 & 530 & 554 \
4 & 257 & 293 & 307 \
\text { Total } & 1326 & 1436 & 1521 \
\hline
\end{array}$$ The manager predicts that the demand for next year will be 1625. What are the quarterly forecasts for next year?

Accepted Answer

The answer of Use the following quarterly data to develop...

Question 17

Forecasting analysts try to minimize the effects of biased and random errors when determining a forecasting method.

Accepted Answer

A) True 
 B)False

Question 18

Forecasts always contain errors.

Accepted Answer

A) True 
 B)False

Question 19

Aggregating products or services together generally decreases the forecast accuracy.

Accepted Answer

A) True 
 B)False

Question 20

What is focus forecasting?

Accepted Answer

A method of forecasting that s

The moving average gives a forecast of the mean value of demand in future periods, if there is no noticeable trend or seasonality in the data.

Linear regression analysis always involves predicting one dependent variable based on one independent variable.

Compare seasonal effects and cyclical effects.

What is a tracking signal? How is it calculated? Explain the connection between adaptive smoothing and tracking signals.

A backlog is an accumulation of customer orders that a manufacturer has promised for delivery at some future date.

_________ analysis is a statistical approach that relies heavily on historical demand data to project the future size of demand and it recognizes trends and seasonal patterns.

Exponential smoothing is an expensive forecasting method.

Random variation is an aspect of demand that increases the accuracy of the forecast.

It is now near the end of May and you must prepare a forecast for June for a certain product. The forecast for May was 900 units. The actual demand for May was 1000 units. You are using the exponential smoothing method with a = 0.20. The forecast for June is

Promotional campaigns are designed to increase sales with creative pricing.

Table 11.8. Month No. Machines Sold 1 50 2 65 3 52 4 56 5 55 6 60 -Use the information in Table 11.8. Use the weighted moving average method to calculate the forecast for month 7. The weights are 0.50, 0.30, and 0.20, where 0.50 refers to the most recent demand.

_________ is a method for incorporating a trend in an exponentially smoothed forecast.

_________ is the act of clustering several similar products or services so that companies can obtain more accurate forecasts.

The simplest form of the Illini are regression model is: y = a + bx. Based on this basic model, briefly explain how linear regression is used as a causal method of forecasting.

Use the following quarterly data to develop the seasonal indexes: Quarter Year 1 Year 2 Year 3 1 205 198 240 2 389 415 420 3 475 530 554 4 257 293 307 Total 1326 1436 1521 The manager predicts that the demand for next year will be 1625. What are the quarterly forecasts for next year?

Forecasting analysts try to minimize the effects of biased and random errors when determining a forecasting method.

Forecasts always contain errors.

Aggregating products or services together generally decreases the forecast accuracy.

What is focus forecasting?

Creating Customer Value

Supply Chain Management

Supply Chain Sustainability and Humanitarian Logistics

Process Configuration

Capacity

Waiting Lines

Inventory Management

Quality and Process Improvement

Lean Systems

Location and Layout

Operations Planning and Scheduling

Resource Planning

Filters

Exam 11: Managing Demand and Forecasting

The moving average gives a forecast of the mean value of demand in future periods, if there is no noticeable trend or seasonality in the data.

Linear regression analysis always involves predicting one dependent variable based on one independent variable.

Compare seasonal effects and cyclical effects.

What is a tracking signal? How is it calculated? Explain the connection between adaptive smoothing and tracking signals.

A backlog is an accumulation of customer orders that a manufacturer has promised for delivery at some future date.

_________ analysis is a statistical approach that relies heavily on historical demand data to project the future size of demand and it recognizes trends and seasonal patterns.

Exponential smoothing is an expensive forecasting method.

Random variation is an aspect of demand that increases the accuracy of the forecast.

It is now near the end of May and you must prepare a forecast for June for a certain product. The forecast for May was 900 units. The actual demand for May was 1000 units. You are using the exponential smoothing method with a = 0.20. The forecast for June is

Promotional campaigns are designed to increase sales with creative pricing.

Table 11.8. Month No. Machines Sold 1 50 2 65 3 52 4 56 5 55 6 60 -Use the information in Table 11.8. Use the weighted moving average method to calculate the forecast for month 7. The weights are 0.50, 0.30, and 0.20, where 0.50 refers to the most recent demand.

_________ is a method for incorporating a trend in an exponentially smoothed forecast.

_________ is the act of clustering several similar products or services so that companies can obtain more accurate forecasts.

The simplest form of the Illini are regression model is: y = a + bx. Based on this basic model, briefly explain how linear regression is used as a causal method of forecasting.

Use the following quarterly data to develop the seasonal indexes: Quarter Year 1 Year 2 Year 3 1 205 198 240 2 389 415 420 3 475 530 554 4 257 293 307 Total 1326 1436 1521 The manager predicts that the demand for next year will be 1625. What are the quarterly forecasts for next year?

Forecasting analysts try to minimize the effects of biased and random errors when determining a forecasting method.

Forecasts always contain errors.

Aggregating products or services together generally decreases the forecast accuracy.

What is focus forecasting?

Creating Customer Value

Supply Chain Management

Supply Chain Sustainability and Humanitarian Logistics

Process Configuration

Capacity

Waiting Lines

Inventory Management

Quality and Process Improvement

Lean Systems

Location and Layout

Operations Planning and Scheduling

Resource Planning

Filters