Logistics Management

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Questions Bank

Introduction to Managing Operations Across the Supply Chain
Operations and Supply Chain Strategy
Managing Processes and Capacity
Extension : A Supplement: Process Mapping and Analysis
Productprocess Innovation
Manufacturing and Service Process Structures
Managing Quality
Extension: A Supplement: Quality Improvement Tools
Managing Inventories
Lean Systems
Customer Service Management
Sourcing and Supply Management
Logistics Management
Demand Planning: Forecasting and Demand Management
Sales and Operations Planning
Materials and Resource Requirements Planning
Project Management
Extension : A Supplement: Advanced Methods for Project Scheduling
Sustainable Operations Managementpreparing for the Future

All Questions

Question 1

Free

Multiple Choice

The primary difference between demand management and demand forecasting is:

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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.

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Question 2

Free

Multiple Choice

Strategic demand planning would best be utilized:

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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.

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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?

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Autocorrelation

Seasonality and cycles

Step change

Trend

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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:

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Regression.

Executive judgment.

Time-series.

Moving average.

Exponential smoothing.

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Question 5

Free

Multiple Choice

An office manager forecasts demand for office stationery by exponential smoothing, with alpha = 0.4.Actual demand two weeks ago (i.e., the week before last) was 12 boxes, but the forecast for that period was only 10.Actual demand last week was 7.What was the forecast for last week?

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10.8

11.0

11.2

8.2

8.8

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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?

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2,060

1,940

2,040

1,960

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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?

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$124,000

$116,000

$104,000

$112,000

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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

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240.

260.

280.

300.

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Question 9

Multiple Choice

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

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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.

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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)?

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200

225

-66.67

1200

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Question 11

Multiple Choice

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

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Positive.

Negative.

There is no bias.

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Question 12

Multiple Choice

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

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Ignore forecasts.

Move from build-to-stock to assemble or make-to-order operations.

Influence the timing of demand.

All the items are correct.

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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:

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Coordinated fore planning of requirements.

Joint planning of demand forecasts.

Collaborative planning, forecasting, and replenishment.

Conjoint analysis and forecasting.

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Question 14

Multiple Choice

Assume that the forecast for the last period is FIT_t = 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?

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210

206

236

226

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Question 15

Multiple Choice

Assume that the forecast for the last period is FIT_t = 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?

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210.0

210.6

216.6

216.0

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Question 16

Multiple Choice

Assume that the forecast for the last period is FIT_t = 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)?

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227.3

215.9

217.3

221.3

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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)?

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5.6 units/period

2.5 units/period

2.87 units/period

-1.25 units/period

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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)?

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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).

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Question 20

Multiple Choice

Use the data below and the regression model. What is the sales forecast if Gamma is expected to be 21? (Round your forecast to the nearest number of whole units.)

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