Review of combining forecasts approaches

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Published: Jun 30, 2013
DOI: https://doi.org/10.14807/ijmp.v4i1.59
Keywords:
combining forecasts review of the literature forecasting

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Aline Castello Branco Mancuso
UFRGS
Liane Werner
UFRGS
صندلی اداری

Abstract

The first review of the literature on the subject combination of forecasts was made in the twentieth century by Robert Clemen. After more than twenty years, several other papers have been published with new theories and applications, but no other similar review was performed. Faced with this placement, this paper aimed to review the literature on the approaches of combining forecast after the survey conducted by Clemen (1989), covering the various areas of knowledge. Thus, this paper presents the classification and analysis of 174 articles collected on the subject, describing their main characteristics. As main contributions, this paper offers: a summary of current literature on the topic; a classification of articles according to the approaches; a subdivision of items within each approach; analysis of classification and identification of the most common methods, new methods, and future research. Keywords: combining forecasts, review of the literature, forecasting.

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Vol. 4 No. 1 (2013): Independent Journal of Management & Production
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Author Biographies

Aline Castello Branco Mancuso, UFRGS

Was Master in ProductionEngineering in 2013 and graduated in Statistics from the Federal University ofRio Grande do Sul (UFRGS) in 2010. She has experience in Probability andStatistics, with emphasis in Statistics.

Liane Werner, UFRGS

Was PhD inIndustrial Engineering in 2005 and Master in Production Engineering in 1996,holds a degree in Statistics from the Federal University of Rio Grande do Sul(UFRGS), BA in 1988 and BS in 1999. It is adjunct professor at the FederalUniversity of Rio Grande do Sul (UFRGS) acts with the statistics course atundergraduate and engineering courses. He also serves on the GraduateProduction Engineering as teacher and tutor of doctoral and masters. It refereejournals and national and international proceedings. The areas of interest are:Forecasting Techniques, Time Series, Demand Forecasting, Statistical QualityControl, Multivariate Analysis, and Reliability.
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