# Logistics Management

This question bank verified by Studydeets
All Questions
Filter by:
Question 1
Free
Multiple Choice

## The primary difference between demand management and demand forecasting is:

Forecasting is only possible when quantitative data are available.

Demand management is proactive, while forecasting attempts to predict.

A firm cannot execute both approaches simultaneously.

One approach deals with uncertainty, while the other deals with known demand.

Question 2
Free
Multiple Choice

## Strategic demand planning would best be utilized:

To direct day-to-day operations in a manufacturing plant.

To determine plans for employee overtime.

To decide whether or not to close a manufacturing plant.

To determine plans for hiring or laying off employees.

All answers are correct.

Question 3
Free
Multiple Choice

## The demand for housing is characterized by a regular pattern of increasing to a peak, then falling.When the demand reaches a low point, it then repeats the pattern.This pattern usually takes place over a three- to five-year period.This is an example of which type of demand pattern?

Autocorrelation

Seasonality and cycles

Step change

Trend

Question 4
Free
Multiple Choice

## Suppose your firm is about to launch a radically new product.The type of demand forecasting system you would most likely use is:

Regression.

Executive judgment.

Time-series.

Moving average.

Exponential smoothing.

Question 5
Free
Multiple Choice

10.8

11.0

11.2

8.2

8.8

Question 6
Multiple Choice

## Alpha Company sold 2,000 widgets yesterday.It had forecasted sales of 1,900 units.Using exponential smoothing with a smoothing constant of 0.6, what is the forecast for today's sales of widgets?

2,060
1,940
2,040
1,960
To unlock the question
Question 7
Multiple Choice

## Jones Company had sales of \$100,000 last week.The company had forecasted that sales would be \$120,000.Using exponential smoothing with a smoothing constant of 0.2, what is the forecast for this week's sales?

\$124,000
\$116,000
\$104,000
\$112,000
To unlock the question
Question 8
Multiple Choice

## Over a six-month period, the demand for a product has been: June = 200, July = 210, August = 240, September = 240, October = 260, and November = 280.The three-month moving average forecast for December is

240.
260.
280.
300.
To unlock the question
Question 9
Multiple Choice

## Convex Computer Company makes many different forecasts.Which of the following forecasts is probably the least accurate?

Total number of computers (laptops and desktops) to be sold next month.
Total number of laptops to be sold next month.
Total number of desktops to be sold next year.
Total number of laptops with 2 gigabyte RAM, 80 gigabyte hard drive, and 16x DVD drive to be sold next year.
To unlock the question
Question 10
Multiple Choice

## A company has the information shown in the chart below regarding its forecast performance in the past three periods. What is the mean absolute deviation (MAD)?

200
225
-66.67
1200
To unlock the question
Question 11
Multiple Choice

## Given the data below, what is the bias of these forecasts?

Positive.
Negative.
There is no bias.
To unlock the question
Question 12
Multiple Choice

## Designing postponable products has the potential to allow operations managers to:

Ignore forecasts.
Move from build-to-stock to assemble or make-to-order operations.
Influence the timing of demand.
All the items are correct.
To unlock the question
Question 13
Multiple Choice

## In recent years some companies have begun to work closely with their customers and/or suppliers by sharing information to develop demand plans and execute those plans.The procedure they are following is known as:

Coordinated fore planning of requirements.
Joint planning of demand forecasts.
Collaborative planning, forecasting, and replenishment.
Conjoint analysis and forecasting.
To unlock the question
Question 14
Multiple Choice

## Assume that the forecast for the last period is FITt = 200 units, and recent experience suggests a likely sales increase of 10 units each period.Actual sales for the last period reached 230 units.Assuming a smoothing coefficient of α = 0.20 and a trend smoothing coefficient of β = 0.10, what is the BASE forecast for the next period?

210
206
236
226
To unlock the question
Question 15
Multiple Choice

## Assume that the forecast for the last period is FITt = 200 units, and recent experience suggests a likely sales increase of 10 units each period.Actual sales for the last period reached 230 units.Assume a smoothing coefficient of α = 0.20 and a trend smoothing coefficient of β = 0.10.What is the ADJUSTED forecast for the next period?

210.0
210.6
216.6
216.0
To unlock the question
Question 16
Multiple Choice

## Assume that the forecast for the last period is FITt = 200 units, and recent experience suggests a likely sales increase of 10 units each period.Actual sales for the last period reached 230 units.Assume a smoothing coefficient of α = 0.20 and a trend smoothing coefficient of β = 0.10.Demand in period t + 1 turned out to be 220.What is the adjusted forecast for period t + 2 (choose the closest answer)?

227.3
215.9
217.3
221.3
To unlock the question
Question 17
Multiple Choice

## Zanda Corp.has experienced demand in the last four years below. What is the trend value (b) in the data (choose the closest answer)?

5.6 units/period
2.5 units/period
2.87 units/period
-1.25 units/period
To unlock the question
Question 18
Multiple Choice

## Refer to the data below for Zanda Corp.What is the linear regression forecast for period 5 (choose the nearest number of whole units)?

44
42
34
28
To unlock the question
Question 19
Multiple Choice

## Jones Corp.has noticed that sales of its product seem to be related to a variable it calls Gamma.It has developed the data shown below. Develop a simple linear regression from the data and tell Jones what the sales forecast will be if Jones expects Gamma to be 16 (round your forecast to the nearest number of whole units).

31
33
28
34
To unlock the question
Question 20
Multiple Choice