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WorksheetsMANAGEMENT SCIENCE FINAL EXAM
Total questions: 60
Worksheet time: 30hrs 0mins
Identification: Identify the term or concept being described. A quantitative forecasting technique that relies on human judgment, opinions, and expertise, typically used when data is scarce.
Quantitative Forecasting
Qualitative Forecasting
Exponential Smoothing
Least Squares Regression
Identification: Identify the term or concept being described. The maximum of the Earliest Finish (EF) times of all immediate predecessors, which determines the Earliest Start (ES) of a subsequent activity in a project network.
Backward Pass
Forward Pass
Latest Start
Transportation Model
Identification: Identify the term or concept being described. The type of demand pattern that refers to periodic fluctuations that occur regularly, such as retail spikes in December or energy usage in summer.
Trend
Seasonality
Cyclical Component
Random Noise
Identification: Identify the term or concept being described. The difference between the Latest Finish (LF) and Earliest Finish (EF) of an activity, which represents how long the activity can be delayed without affecting the project completion date.
Critical Path
Slack (Float)
Duration
Earliest Start
Identification: Identify the term or concept being described. The forecasting method that assigns different weights to historical data points, typically giving higher weight to more recent data to capture emerging trends.
Simple Moving Average (SMA)
Weighted Moving Average (WMA)
Exponential Smoothing
Least Squares Regression
Identification: Identify the term or concept being described. The mathematical approach to physical distribution problems aimed at determining the cheapest routes from suppliers (sources) to destinations.
Assignment Problem
Transportation Problem (Distribution Model)
Network Critical Path
Delphi Method
Identification: Identify the term or concept being described. The sequence of activities in a project network where the Slack (Float) is zero, meaning any delay will delay the entire project.
Critical Path
Forward Pass
Backward Pass
Activity-on-Arrow (AOA)
Identification: Identify the term or concept being described. The key characteristic of quantitative forecasting that ensures the same data inputs will always yield the same forecast.
Subjectivity
Objectivity
Bias
Randomness
Identification: Identify the term or concept being described. The forecast accuracy metric that penalizes large deviations heavily by squaring the errors.
Mean Absolute Deviation (MAD)
Mean Squared Error (MSE)
Mean Absolute Percentage Error (MAPE)
Root Mean Squared Error (RMSE)
Identification: Identify the term or concept being described. The parameter in Exponential Smoothing that determines the model’s sensitivity, with a higher value making the forecast more responsive to recent changes.
Trend coefficient
Smoothing Constant (alpha)
Seasonal index
Correlation coefficient
True or False: Under the Backward Pass rule, when an activity has multiple immediate successors, its Latest Finish (LF) is the minimum of the Latest Start (LS) times of those successors, not the maximum. Select TRUE or FALSE.
TRUE
FALSE
True or False: A major drawback of the Simple Moving Average (SMA) method is that the forecast will consistently lag behind the actual data when there is a pronounced upward or downward trend. Select TRUE or FALSE.
TRUE
FALSE
True or False: The Latest Start (LS) for any activity is calculated by subtracting the activity’s Duration from its Latest Finish (LF), i.e., LS = LF − Duration. Select TRUE or FALSE.
TRUE
FALSE
True or False: In a time-series model, the component called Cyclical (C) refers to wave-like fluctuations that occur over a longer period than Seasonality. Select TRUE or FALSE.
TRUE
FALSE
True or False: An alpha (Smoothing Constant) value of 0.8 (high alpha) is highly responsive to recent changes, making it better for data with an emerging trend, not just stable demand. Select TRUE or FALSE.
TRUE
FALSE
True or False: A causal model is conceptually different from a time-series model because it assumes the variable being forecast is related to other variables in the environment (e.g., predicting sales based on advertising budget). Select TRUE or FALSE.
TRUE
FALSE
True or False: The purpose of the Forward Pass is to find the minimum time required to complete the entire project, which is the Earliest Finish (EF) of the final activity. Select TRUE or FALSE.
TRUE
FALSE
True or False: The constraint for a Weighted Moving Average (WMA) is that the sum of all weights assigned to the historical periods must equal 1 (or 100%). Select TRUE or FALSE.
TRUE
FALSE
True or False: The Mean Absolute Percentage Error (MAPE) expresses the forecast error as a percentage of the actual demand, which provides a relative measure of accuracy. Select TRUE or FALSE.
TRUE
FALSE
True or False: Project managers focus on the critical activities (zero slack) for resource allocation and risk mitigation, as a delay in these tasks directly impacts the project’s overall completion date. Select TRUE or FALSE.
TRUE
FALSE
True or False: The Least Squares Regression line is the line that minimizes the sum of the squared errors (residuals), which is the vertical distance between the actual data points and the line. Select TRUE or FALSE.
TRUE
FALSE
True or False: The Transportation Problem is a special type of Linear Programming (LP) problem focused on minimizing the cost of shipping goods from supply sources to demand centers. Select TRUE or FALSE.
TRUE
FALSE
True or False: The Earliest Start (ES) for the first activity (or activities) in a project network is typically assumed to be 0. Select TRUE or FALSE.
TRUE
FALSE
True or False: The Coefficient of Determination r2 measures the percentage of the variation in the dependent variable (Y) that is explained by the independent variable (X) in a regression model. Select TRUE or FALSE.
TRUE
FALSE
True or False: A Linear Trend is characterized by a constant rate of change, whereas an Exponential Trend is characterized by growth that accelerates (a compounding rate of change). Select TRUE or FALSE.
TRUE
FALSE
True or False: One of the key assumptions of the Transportation Problem is that demand and supply quantities are constant and are typically presented in whole numbers. Select TRUE or FALSE.
TRUE
FALSE
True or False: The formula for Exponential Smoothing uses the last forecast (F t−1), the last actual value (A t−1), and the smoothing constant alpha, but it does not rely on the last n data points like moving averages do. Select TRUE or FALSE.
TRUE
FALSE
True or False: The Mean Absolute Deviation (MAD) answers the question “On average, how many units are we off?” because it calculates the average magnitude (absolute value) of the forecast errors. Select TRUE or FALSE.
TRUE
FALSE
True or False: Qualitative forecasting is based on human judgment and is used when past data is scarce or the environment is rapidly changing. Quantitative forecasting requires sufficient historical numerical data and assumes past patterns will recur. Select TRUE or FALSE.
TRUE
FALSE
True or False: The Least Squares Regression equation uses the independent variable as time when it is applied to time-series data for trend analysis. Select TRUE or FALSE.
TRUE
FALSE
Multiple Choice: Select the BEST answer. A company is launching a completely new product for which no historical sales data exists. Which forecasting method would be most appropriate?
Exponential Smoothing
Simple Moving Average
Market Research (Qualitative)
Least Squares Regression
Multiple Choice: Select the BEST answer. If the project duration calculated by the Forward Pass is 20 weeks, what is the Latest Finish (LF) that should be assigned to the final activity to begin the Backward Pass?
Cannot be determined
20 − Duration
0
20 weeks
Multiple Choice: Select the BEST answer. Which scenario best justifies the use of a Weighted Moving Average (WMA) with higher weights on recent periods over a Simple Moving Average (SMA)?
The data is stationary (no trend or seasonality).
The cost of a large forecast error is negligible.
There is an emerging upward trend in demand.
The forecast must be as smooth as possible, reacting very slowly to changes.
Multiple Choice: Select the BEST answer. In the Exponential Smoothing formula, F_t = F_{t−1} + alpha(A_{t−1} − F_{t−1}), the term (A_{t−1} − F_{t−1}) represents:
The new forecast
The smoothing constant
The latest actual value
The error from the last period
Multiple Choice: Select the BEST answer. Activity A has an Earliest Finish (EF) of 5, and Activity B has an EF of 8. If Activity C requires both A and B to be complete before it can start, what is the Earliest Start (ES) for Activity C?
5
8
13
Cannot be determined
Multiple Choice: Select the BEST answer. If a Least Squares Regression model has a coefficient of determination r2 value of 0.92, what does this primarily indicate about the forecast?
The average error magnitude is low.
The model has a low lag effect.
The relationship is non-linear.
92% of the variation in the variable being forecast is explained by the model.
Multiple Choice: Select the BEST answer. A project activity has an Earliest Start (ES) of 10, an Earliest Finish (EF) of 15, a Latest Start (LS) of 12, and a Latest Finish (LF) of 17. What is the slack (float) for this activity, and is it on the Critical Path?
Slack is 2; Yes, it is on the Critical Path.
Slack is 2; No, it is NOT on the Critical Path.
Slack is 0; Yes, it is on the Critical Path.
Slack is 7; No, it is NOT on the Critical Path.
Multiple Choice: Select the BEST answer. Which of the following trends would be the most misleading to forecast using a simple linear trend projection for the long term?
Linear Trend (Constant)
Exponential Trend (Accelerating)
S-Curve (Levels off at maturity)
Seasonal Trend
Multiple Choice: Select the BEST answer. Which forecast accuracy metric is most appropriate if a company’s primary concern is to severely punish a few extremely large forecast errors over many small ones?
MAD
MSE
MAPE
WMA
Multiple Choice: Select the BEST answer. An alpha (Smoothing Constant) of 0.1 is chosen for Exponential Smoothing; what does this suggest about the underlying demand pattern and the preferred forecast characteristic?
The demand has a strong trend; the forecast should be responsive.
The demand has strong seasonality; the forecast should have a high lag.
The demand is relatively stable; the forecast should be smooth and stable.
The demand is random; the forecast should be equal to the last actual value.
Multiple Choice: Select the BEST answer. The primary objective of the Transportation Problem in a distribution model is to:
Maximize the total units shipped.
Minimize the total logistics/shipping cost.
Determine the maximum profit for each distributor.
Balance the capacity of all plants.
Multiple Choice: Select the BEST answer. The concept that historical patterns are expected to recur in the future is a fundamental assumption for which type of forecasting approach?
Qualitative Forecasting
The Delphi Method
Quantitative Forecasting
Executive Opinions
Multiple Choice: Select the BEST answer. Activity D has two immediate successor activities: Activity E with an LS of 15, and Activity F with an LS of 12. What is the Latest Finish (LF) for Activity D?
15 + 12 = 27
12
15
15 − 12 = 3
Multiple Choice: Select the BEST answer. Why are the forecast errors squared in the Mean Squared Error (MSE) formula?
To remove the personal bias (Objectivity).
To calculate the error as a percentage (MAPE).
To ensure all errors are positive and to heavily penalize large deviations.
To measure the strength of the relationship ( r2 ).
Multiple Choice: Select the BEST answer. In time-series decomposition, Irregular (I) components are also known as:
Trend
Seasonality
Cyclical Fluctuations
Random "noise"
Multiple Choice: Select the BEST answer. A positive correlation coefficient (r) of +0.95 in a causal model suggests:
A weak, inverse relationship.
A strong, direct relationship.
No relationship between the variables.
That 95% of the variation is explained by the model.
Multiple Choice: Select the BEST answer. If a project manager wants to quickly and roughly estimate the earliest completion date of a project, which of the following calculation results from the Forward Pass provides this answer?
The Earliest Finish (EF) of the final activity on the longest path.
The Latest Finish (LF) of the final activity.
The minimum of all activity slacks.
The sum of all activity durations.
Multiple Choice: Select the BEST answer. If the supply capacity in the Transportation Problem is less than the total demand requirements, how is the problem balanced to use the Transportation Table?
The supply values are increased to match the demand.
The shipping costs are adjusted.
A dummy source (supply) must be added to absorb the extra demand.
The problem is solved as is, but costs will be higher.
Multiple Choice: Select the BEST answer. Which quantitative forecasting method is visually characterized by a smoothed line that inherently lags behind the actual data, especially during periods of change?
Weighted Moving Average (WMA)
Exponential Smoothing (alpha = 0.8)
Simple Moving Average (SMA)
Least Squares Regression
Multiple Choice: Select the BEST answer. A small value for MAD (Mean Absolute Deviation) and a high value for MSE (Mean Squared Error) for the same forecast data would most likely suggest:
The forecast has high consistency.
The forecast has many small errors but a few very large outlier errors.
The demand has a linear trend.
The WMA is better than the SMA.
Indicate whether the statement is true or false: The Backward Pass rule requires that when an activity has multiple immediate successors, its Latest Finish (LF) is the minimum of the Latest Start (LS) times of those successors.
True
False
Indicate whether the statement is true or false: The Latest Start (LS) for any activity is calculated by subtracting the activity's Duration from its Latest Finish (LF).
True
False
Indicate whether the statement is true or false: A high alpha (e.g., 0.8) makes the forecast very responsive to recent changes, which is good for data with a trend.
True
False
Indicate whether the statement is true or false: The purpose of the Forward Pass is to find the Earliest Start (ES) and Earliest Finish (EF) and ultimately the project's shortest possible duration/minimum time required to complete the entire project.
True
False
Indicate whether the statement is true or false: The Mean Absolute Percent Error (MAPE) expresses the error as a percentage.
True
False
Indicate whether the statement is true or false: Least Squares Regression minimizes the sum of squared errors.
True
False
Indicate whether the statement is true or false: The Earliest Start (ES) for the first activity (or activities) is 0.
True
False
Indicate whether the statement is true or false: A Linear Trend has a constant rate of change; an Exponential Trend is growth that accelerates.
True
False
Indicate whether the statement is true or false: Exponential Smoothing uses only three pieces of data: the last forecast, the last actual value, and the smoothing constant.
True
False
Indicate whether the statement is true or false: Quantitative forecasting requires sufficient historical numerical data and assumes past patterns will recur.
True
False
