INVESTIGADORES
CAPRARO FUENTES Flavio Andres
congresos y reuniones científicas
Título:
Control of a Production-Inventory System Using a PID and Demand Prediction Based Controller
Autor/es:
TOSETTI SANTIAGO; PATIÑO DANIEL; CAPRARO FLAVIO; GAMBIER ADRIAN
Lugar:
Rio Gallegos
Reunión:
Congreso; XII Reunión de Trabajo en Procesamiento de la Información y Control; 2007
Institución organizadora:
Universidad Nacional de la Patagonia Austral
Resumen:
The need of reducing inventory levels as much as possible without
loosing sales opportunities is an important goal not only for small but
also for mid-size and large companies, on account of the high costs
associated with large inventory stocks. In general, the performance of
inventory systems is also affected by the Bullwhip effect caused, among
other factors, by non-zero lead times. This paper proposes an automatic
pipeline feedback order-based production control system (APIOBPCS)
considering a demand with cyclic and stochastic components. The dynamics
and delays of the production process are modeled as a pure delay. The
control system structure consists of a PID controller and demand
prediction based on an Extended Kalman Filter (EKF) The main objective
of the controller is to stabilize and regulate the inventory levels
about a desired set-point. The extended Kalman filter estimates the
parameters of a Volterra time-series model to predict future values of
the demand. The control system is evaluated by imulations, showing a
good performance and better results than those achieved by using
traditional inventory control techniques.