6533b7d5fe1ef96bd12650a6

RESEARCH PRODUCT

A Forecasting Support System Based on Exponential Smoothing

Enriqueta VercherAna Corberán-valletJosé Vicente SeguraJosé D. Bermúdez

subject

Scheme (programming language)Mathematical optimizationSeries (mathematics)Computer sciencebusiness.industryComputationExponential smoothingPrediction intervalReplicatecomputer.software_genreComputer data storageData miningAutoregressive integrated moving averagebusinesscomputercomputer.programming_language

description

This chapter presents a forecasting support system based on the exponential smoothing scheme to forecast time-series data. Exponential smoothing methods are simple to apply, which facilitates computation and considerably reduces data storage requirements. Consequently, they are widely used as forecasting techniques in inventory systems and business planning. After selecting the most adequate model to replicate patterns of the time series under study, the system provides accurate forecasts which can play decisive roles in organizational planning, budgeting and performance monitoring.

yearjournalcountryeditionlanguage
2010-01-01
https://doi.org/10.1007/978-3-642-13639-9_8