Quantitative Analysis Flashcards
(90 cards)
What is quantitative analysis?
The application of mathematical methods to business decision-making ## Footnote Also called quantitative methods; used in planning, forecasting, and resource allocation.
What are common applications of quantitative methods?
Corporate planning, forecasting, productivity measurement, inventory control, resource allocation ## Footnote These improve efficiency and decision quality.
What are network models?
Project scheduling tools for managing interrelated activities in large-scale projects ## Footnote Help predict costs and control timelines.
What are the three main project scheduling techniques?
Gantt Charts, PERT, and CPM ## Footnote Each offers a different approach to visualizing and managing project timelines.
What is a Gantt chart?
A horizontal bar chart showing activity durations along a time scale ## Footnote Useful for visualizing task sequences and overlaps.
What is PERT?
Program Evaluation and Review Technique — a probabilistic network model for complex projects ## Footnote Focuses on time uncertainty and event sequencing.
What is CPM?
Critical Path Method — a deterministic network model with time and cost estimates ## Footnote Includes crash time and cost analysis.
What is a critical path?
The longest path through a PERT/CPM network that determines project duration ## Footnote Any delay on this path delays the entire project.
What is slack time?
The time an activity can be delayed without affecting the project’s completion ## Footnote Also called float time.
What is crash time?
The shortest possible time to complete an activity using extra resources ## Footnote Usually incurs additional crash costs.
What is probability analysis?
A method for evaluating decisions under risk or uncertainty ## Footnote Uses expected value, decision trees, and probability rules.
What is expected value?
The weighted average of all possible outcomes based on their probabilities ## Footnote EV = Σ (probability × payoff).
What is a decision tree?
A diagram showing decisions, possible outcomes, and their probabilities ## Footnote Helps visualize and evaluate complex choices.
What is the difference between risk and uncertainty?
Risk has known probabilities; uncertainty has unknown or subjective probabilities ## Footnote Risk is quantifiable; uncertainty is not.
What is the learning curve?
A concept that efficiency improves with experience, reducing time per unit ## Footnote Time per unit decreases as production doubles.
What is linear programming?
A mathematical technique for optimizing an objective function under constraints ## Footnote Used to maximize profit or minimize cost given limited resources.
What is an objective function?
The formula representing the goal of optimization in linear programming ## Footnote Typically profit maximization or cost minimization.
What are constraints in linear programming?
Limitations or restrictions on resources or conditions ## Footnote Expressed as inequalities in the model.
What is the simplex method?
An algorithm used to solve linear programming problems with multiple variables ## Footnote Iteratively finds the optimal solution.
What is time series analysis?
A forecasting method using historical data patterns over time ## Footnote Identifies trends, seasonality, cycles, and irregularities.
What are the four components of a time series?
Trend, cyclical, seasonal, and irregular variations ## Footnote Each component helps explain fluctuations in data.
What is a moving average?
A smoothing technique that averages a fixed number of past data points ## Footnote Helps reduce short-term fluctuations in forecasting.
What is exponential smoothing?
A forecasting method that gives more weight to recent observations ## Footnote Controlled by a smoothing constant (alpha).
What is sensitivity analysis?
A technique to assess how changes in input affect outcomes ## Footnote Useful for evaluating risk and uncertainty in models.