Numerical value that is multiplied by the normal forecast to get a seasonally adjusted forecast.

A sum of the forecast errors; also known as bias.

How far into the future something is forecasted.

An exponential smoothing forecast adjusted for trend.

The average of the squared forecast errors.

The absolute forecast error measured as a percentage of demand.

The cumulative error averaged over the number of time periods.

A gradual, long-term up or down movement of demand.

A mathematical relationship that relates a dependent variable to two or more independent variables.

Procedure for acquiring informed judgments and opinions from knowledgeable individuals to use as a subjective forecast

This forecast is a sophisticated weighted averaging method that creates a new forecast based on the previous forecast plus a percentage of the difference between that forecast and the actual value of the series at that point.

This forecast uses a number of the most recent actual data values in generating a forecast, however, it assigns more weight to more recent values.

This kind of forecast uses a number of the most recent acutal data values in generating a forecast.

These techniques can generate forecasts that reflect recent values of a time series.

This forecast uses a single precious value of a time series as the basis of a forecast.

These are residual variations that remain after all other behaviors have been accounted for.

These are due to unusual or unforeseen circumstances and do not reflect the typical behavior.

These are wavelike variations of more than one year's duration.

This refers to short-term, fairly regular variations generally related to factors such as the calendar or time of day.

This refers to a long-term upward or downward movement in the data.

This is a time-ordered sequence of observations taken at regular intervals.

These use equations that consist of one or more explanatory variables that can be used to predict demand.

These use historal data with the assumption that the future will be like the past, so basically it attempts to project experience into the future.

These rely on analysis of susbjective inputs obtained from various sources, wherein these sources provide insights that are not otherwise available.

These involve either the projection of historical data or the development of associative models that attempt to utilize variables to make a forecast.

These consist mainly of subjective inputs, which often defy precise numerical descriptions.

These consists mainly of subjective inputs, which often defy precise numerical descriptions.

What formula is this?

What formula is this?

What formula is this?

It is based on the historical error performance of a forecast.

This is a significant factor when deciding among forecasting alternatives.

These result when the forecast is too high.

These results when the forecast is too low.

This is solved as Actual value minus Forecasted value.

This refers to the difference between the value that occurs and the value that was predicted for a given period.

________ and _______ of forecasts are vital aspects of forecasting.

This is typically managed by the supplier wherein the supplier and customer share continuously updated data.

This can lead to the reduction of inventory for the company and the speeding up of customer delivery.

These determine inventory levels in the supply chain.

These are very important for the supply chain.

These can lead to shortages and excesses throughout the supply chain.

Element of a good forecast that states that the benefits should outweigh the costs.

Element of a good forecast that refers to the forecasts in aspect of usage.

Element of a good forecast that refers to the state of the forecast that will permit an objective basis for evaluating the forecast once actual results are in.

Element of a good forecast that refers to the choice of units in which fits the user needs.

Element of a good forecast that refers to a forecast being able to work consistently.

Element of a good forecast that refers to the degree of accuracy being stated.

Element of a good forecast that refers to a certain amount of time that is needed to respond to the information in which a forecast provides.

These affect decisions and activites throughout an organization, in accounting, finance, human resources, marketing, and management information systems (MIS).

These are the basis for budgeting, planning capacity, sales, production and inventory, personnel, purchasing, and more.

Aspect of Forecasts that is a function of the ability of forecasters to correctly model demand, random variation, and sometimes unforeseen events.

Aspect of forecasts that is a function of some structural variation, such as a trend or seasonal variation.

What is the primary goal of operations management?

The importance of forecasting to operations management cannot be __________.