Optimization of combined time series methods to forecast the demand for coffee in Brazil: A new approach using Normal Boundary Intersection coupled with mixture designs of experiments and rotated factor scores

Published 2019 View Full Article

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Title
Optimization of combined time series methods to forecast the demand for coffee in Brazil: A new approach using Normal Boundary Intersection coupled with mixture designs of experiments and rotated factor scores
Authors
Keywords
Multi-objective optimization, Time series, Combining forecasts, Multivariate statistics, Decision support, Mixture design of experiments
Journal
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
Volume 212, Issue -, Pages 186-211
Publisher
Elsevier BV
Online
2019-03-07
DOI
10.1016/j.ijpe.2019.03.001

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