Numerical models are instrumental to more effective flood forecasting and managementservices though they suffer from numerous uncertaintysources.
Given these factors and after a search, Unilever chose Lean Logistics for a TMS that would give them more effective sales forecasting and better collaboration between transportation partners and analysts.
Our approach can support service providers who wish to adjust their pricing, consumer demand and capacity management models, and to develop more effective market forecasts of performance through adaptive learning, in the presence of "big data" from consumers and operations.
However, it is presumed that the inverse gamma prior distribution used in the LN-Bayes model is slightly more effective for forecast repeaters, since the differences between the consistency scores of the LN-Bayes and the LN-SST models are very small.
In order for deployment plans, or even sophisticated optimization models, to be more effective, emergency call forecasts must be accurate for both time and location.
These studies suggest that RI is more effective than PI in forecasting large earthquakes.
Temperature scenario based method demonstrated in Sect. 3 is proved to be more effective than other temperature forecasting techniques such as quantGAM [14] in this specific case study.
As the program increased supervision, surveillance and program data quality improved, facilitating more effective logistical and technical forecasting, planning, and implementation.
Optimizing long-term development strategies [ Nepstad et al., 1999] or more effective use of fire forecasting tools [ Chen et al., 2011], for example, may ultimately enable managers to reduce carbon losses.
According to Chu [4, 5, 6, 7], Bayesian-based model for seasonal typhoon activity forecasting is more effective than linear regression-based models.
