Forecasting Software Survey
Page 14
Product | Forecasting Methods Available (continued) | ||||||
Methods for Intermittent Demand | |||||||
Methods for Intermittent Demand: not included | Croston | Syntetos Boylan Approximation | Teunter-Syntetos Babai | Other Methods for Intermittent Demand | Please specify other Methods for Intermittent Demand | Other features, please specify? | |
Analytic Solver Data Mining | y | ||||||
Analytica | |||||||
Autobox | y | Interval and Rate Approach with ability to detect level shifts and outliers. | Can detect which variables are important and lead/lag relationships | ||||
Azure ML Package for Forecasting | y | ||||||
DPL | y | ||||||
EViews | y | ||||||
Forecast Pro | y | ||||||
iqast forecast desktop & iqast forecast server | y | y | y | Shenstone & Hyndman (2005). Intermittend averages and medians. Artificial Neural Networks. | |||
Logility Voyager Solutions | y | ||||||
Optimal Scientist | |||||||
OxMetrics Enterprise | y | ||||||
RASON Data Mining | y | ||||||
RoadMap Global Planning Solution - 360 | y | MPT Intermittent Demand Model | |||||
SAS Forecast Server | y | y | Average Demand Method | ||||
Smart Inventory Planning and Optimization | y | Smart-Willemain | |||||
SOLVENTURE LIFe - Leading indicator forecasting software | y | ||||||
Stata | |||||||
Statgraphics | y | ||||||
Stratus | |||||||
Vanguard Forecast Server | y | y | Proprietary methods | ||||
XLMiner SDK | y |
Forecasting Software Survey Pages:
Introduction | Page 1 | Page 2 | Page 3 | Page 4 | Page 5 | Page 6 | Page 7 | Page 8 | Page 9 | Page 10 | Page 11 | Page 12 | Page 13 | Page 14 | Page 15 | Page 16 | Page 17 | Page 18 | Page 19 | Page 20 | Page 21 | Page 22 | Page 23 | Page 24 | Page 25 | Page 26 | Page 27 | Vendor Directory | Accompanying Article