CDPP Forecasting Techniques

Question 1

What is the main goal of demand forecasting in supply chain management?

Accepted Answer

To predict customer demand and optimize inventory management

Answer

The main goal of demand forecasting in supply chain management is to accurately predict future customer demand for products or services. This prediction is crucial for optimizing various supply chain activities, such as production planning, inventory levels, and resource allocation. Effective demand forecasting helps minimize stockouts, reduce excess inventory costs, and improve overall operational efficiency.

Question 2

Which of the following is a qualitative forecasting method?

Accepted Answer

Delphi method

Answer

Qualitative forecasting methods rely on expert judgment, intuition, and subjective assessments rather than purely historical data and mathematical models. The Delphi method is a structured communication technique that involves a panel of experts providing anonymous forecasts, which are then aggregated and refined through several rounds of feedback. This approach is particularly useful when historical data is scarce or unreliable.

Question 3

What does the moving average forecasting method help to smooth?

Accepted Answer

Short-term fluctuations in data

Answer

The moving average forecasting method calculates the average of a specific number of past data points to predict future values. Its primary purpose is to smooth out random, short-term fluctuations or noise in historical demand data. By averaging recent observations, it helps to reveal underlying trends and make the forecast less susceptible to erratic spikes or dips, providing a clearer picture of demand.

Question 4

What is exponential smoothing in demand forecasting?

Accepted Answer

Answer

Exponential smoothing is a time-series forecasting method that assigns exponentially decreasing weights to older observations, giving more importance to recent data. This method is highly responsive to recent changes in demand patterns, making it effective for forecasting demand that exhibits trends or seasonality. It adapts quickly to evolving conditions, providing a smoothed forecast that reflects current trends more accurately.

Question 5

What is the primary advantage of using a regression model in demand forecasting?

Accepted Answer

It predicts demand based on variables that influence demand

Answer

Regression models are powerful quantitative forecasting tools that establish a statistical relationship between a dependent variable (demand) and one or more independent variables (factors influencing demand). This allows forecasters to predict demand based on changes in these explanatory variables, such as price, advertising spend, or economic indicators. It provides insights beyond just historical trends, explaining 'why' demand changes.

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CDPP Forecasting Techniques