Suchergebnisse

AbstractAn improved demand prediction model is presented which incorporates features of two earlier models. The unified model pools usage data classified by repair part class and by component class. The performance of the model is evaluated in a provisioning and replenishment context and compared with that for the current procedure which employs technicians' usage estimates.

AbstractIn this paper a model is presented which focuses on the difficult problem of predicting demands for items with extremely low usage rates. These form the bulk of repair parts in military systems. The basic notion underlying the model is the pooling of usage data for common design items with movement for the purpose of estimating usage rates for similar items which have shown no movement.A unique feature of the model is that it also makes possible the estimation of usage rates for items newly introduced into a system for which no previous usage history is available.

AbstractA brief description of a new general approach to demand prediction problems is given. This is based on the demand characteristics of parent components and the parts installed in these components. A specific model is presented which employs this information. The paper concludes with empirical tests of the model.