Forecasting and operational research: a review

By Robert Fildes, Konstantinos Nikolopoulos, Sven F. Crone, A. Syntetos. 2008

296 citations recorded by the source corpus.

Subfields: Management Information Systems, Management Science and Operations Research

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Management Information Systems

1. Roberto Rossi
2. S. Prestwich
3. Brahim Hnich

In Management Science and Operations Research

1. Marc G. Genton
2. Xinxin Zhu
3. Roberto Rossi
4. S. Armagan Tarim
5. S. Prestwich
6. Brahim Hnich
7. Tilmann Gneiting
8. James W. Taylor

Citations in the corpus

• Mean-based error measures for intermittent demand forecasting (2013, methodology): “They perform remarkably well, often beating more complex approaches (Fildes et al. 2008).”
• Making and Evaluating Point Forecasts (2009, background): “ has changed since. Armstrong (2001) called for further research, while Moskaitis and Hansen (2006) asked “Deterministic forecasting and verification: A busted system?” Similarly, the recent review by Fildes et al. (2008, p. 1158) states that “Defining the basic requirements of a good error measure is”
• Short‐Term Wind Speed Forecasting for Power System Operations (2012, background): “Fildes et al. (2008) also state that “Defining the basic requirements of a good error measure is still a controversial issue”.”
• On the identification of sales forecasting models in the presence of promotions (2015, unknown): “An alternative approach to the problem of forecasting promotional sales is to use regression models, which use past promotional information to formulate causal models (Fildes et al, 2008).”