Determining The Optimal Values Of Exponential Smoothing Constants – Does Solver Really Work?
Year: 2016
Type: article
Abstract: A key issue in exponential smoothing is the choice of the values of the smoothing constants used. One approach that is becoming increasingly popular in introductory management science and operations management textbooks is the use of Solver, an Excel-based non-linear optimizer, to identify values of the smoothing constants that minimize a measure of forecast error like Mean Absolute Deviation (MAD) or Mean Squared Error (MSE). We point out some difficulties with this approach and suggest an easy fix. We examine the impact of initial forecasts on the smoothing constants and the idea of optimizing the initial forecast along with the smoothing constants. We make recommendations on the use of Solver in the context of the teaching of forecasting and suggest that there is a better method than Solver to identify the appropriate smoothing constants.
Author: Handanhal V. Ravinder
Institution: Montclair State University
Language: English
Field: Decision Sciences
Domain: Social Sciences
Open Access status: hybrid
Funder: Montclair State University
OpenAlex ID: W2187938579