chapter 2
qualitative data collected separately
Delphi method
Collaborative Planning, Forecasting, and Replenishment is the process of combining statistical forecasting techniques and judgment to construct demand estimates for products or services. TRUE FALSE
FALSE
Forecasts are more accurate the farther out into the future that you forecast. TRUE FALSE
FALSE
Independent Demand is demand for an item that is directly related to other items or finished products, such as a component or material used in making a finished product. True or False
FALSE
The difference between the actual demand and the forecast demand
Forecast Error
_______________________ measures the size of the forecast error in units. It is calculated as the average of the unsigned errors over a specified period of time. Mean Squared Error Mean Absolute Percent Error Running Sum of Forecast Errors Mean Absolute Deviation
Mean Absolute Deviation (correct)
measures size of the error in percentage terms
Mean Absolute Percent Error (MAPE)
magnifies the errors by squaring each one before adding them up and dividing by the number of forecast periods.
Mean Squared Error (MSE)
5 types of quantitative forecast technique (time series)
Naive method, simple moving average, weighted moving average, exponential smoothing, linear trend forecasting
Instability in the data caused by random occurrences
Random Variation
Cause-and-Effect Models can have multiple independent variables. TRUE FALSE
TRUE
The Qualitative forecasting method is based on opinion & intuition. TRUE FALSE
TRUE
In the absence of any other information or visibility, individual supply chain participants can begin second-guessing what is happening with ordering patterns, and potentially start over-reacting. This is known as? Forecast Bias The Bullwhip Effect A Tracking Signal The Running Sum of Forecast Errors
The Bullwhip Effect
a wavelike pattern that can extend over multiple years
cyclical variation
5 types of qualitative
personal insight jury of executive opinion Delphi method sales force estimation customer survey
repeating pattern of demand from year to year
seasonal variation
What does the acronym CPFR represent? Coordinated Planning & Forecasting Relationships Collaborative Planning, Forecasting, & Replenishment Centralized Purchasing & Forecasting Relationships Collaborative Purchasing, Forecasting, & Receivables
Collaborative Planning, Forecasting, & Replenishment
Which one of the following is NOT a type of qualitative forecasting? Sales force composite Consumer survey Jury of executive opinion Naïve method
Naïve method (correct)
when data is limited, unavailable, not currently relevant, what forecast technique should be used
Qualitative
provides a measure of forecast bias. it indicates the tendency of a forecast to be consistently higher or lower than actual demand.
Running Sum of Forecast Errors (RSFE)
When creating a quantitative forecast, data should be evaluated to detect for a repeating pattern of demand from year to year, or over some other time interval, with some periods of considerably higher demand than others. This is known as a? Trend Variation Random Variation Seasonal Variation Cyclical Variation
Seasonal Variation
Movement of a variable over time
Trend Variation