Test
Operations Management
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Preguntas del test (24)
1A naive forecast for September sales of a product would be equal to the forecast for august
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2The forecasting time horizon and the forecasting techniques used tend to vary over the life cycle of a product
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3Demand(sales) forecast serve as inputs to financial, marketing, and personnel planning.
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4Forecast of individual products tend to be more accurate than forecast of product families
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5Most forecasting models assume that there is an underlying stability in the system
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6The sales force composite forecasting method relies on salespersons' estimate of expected sales
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7A time series model uses a series of past data points to make the forecast
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8The quarterly "make-meeting" of Lexus dealers is an example of a sales force composite forecast.
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9Cycles and random variations are both components of time series.
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10One advantage of exponential smoothing is the limited amount of record keeping involved.
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11The larger the number of periods in the simple moving average forecasting method, the greater the method's responsiveness to changes in demand.
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12Forecasting including trend is an exponential smoothing technique that utilizes two smoothing constants: one for the average level of the forecast and one for its trend.
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13Mean squared error and coefficient of correlations are two measure of the overall error of a forecasting method.
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14In trend projection, the trend component is the slope of the regression equation.
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15In trend projection, a negative regression slope is mathematically impossible.
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16Seasonal indexes adjust raw data for patterns that repeat at regular time intervals.
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17If a quarterly seasonal index has been calculated at 1.55 for the October - December quarter, then raw data for the quarter must be multiplied by 1.55 so that the quarter can be fairly compared to other quarters.
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18The best way to forecast a business cycle is by finding a leading variable .
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19Linear-regression analysis is a straight line mathematical model to describe the functional relationship between independent and dependent variables.
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20The larger the standard error of the estimate, the more accurate forecasting model.
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21Demand cycles for individual products can be driven by product life cycles.
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22If a forecast is consistently greater or less than actual values, the forecast is said to be biased.
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23Focus forecasting tries a variety of computer models and selects the best one for a particular application.
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24Many services firms use point of sales computers to collect detail records needed for accurate short-term forecast.
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Información
- Descripción
- Heizer testbank
- Autor
- Christian Brylle
- Idioma
- English
- Visitas
- 68
- Valoración
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