Effective therapy of complex diseases requires control of highly nonlinear complex networks
that remain incompletely characterized. In particular, drug intervention can be seen as …

The value of demand forecast information has been the subject of numerous studies in the
inventory literature, but has had limited application in production planning. This paper …

This paper examines the use of system identification to describe time-varying phenomena in
a smoking cessation intervention. The analysis is facilitated by the availability of intensive …

A generic model of an enterprise is described. Rising complexity in all facets of the model is
shown to result in a tendency for all activities of the enterprise to require higher budgets and …

This research reports on the application of transfer function in performance assessment of
power distribution facilities of utility companies: Shell and PHCN. It involves taking input …

ANÁLISE DE MÉTODOS DE PREVISÃO DE DEMANDA BASEADOS EM SÉRIES
TEMPORAIS EM UMA EMPRESA DO SETOR DE PERFUMES E COSMÉTICOS Page 1 …

Almost all demand forecasting methods work in the time domain. We describe a method that
operates in the frequency domain. Using discrete Fourier transform, we decompose a given …

Maintaining agility in a multi-echelon multi-product multi-geography supply chain with long
and variable manufacturing lead times, stochastic product yields, and uncertain demand is a …

The quantitative and descriptive study involved an examination into the relationship
between two factors, seasonality and promotion, and the accuracy of the demand forecast …