Abstract

Complicating functions of computer-aided tools of specific application control systems prioritize the task of keeping a highdegree alert performed by the operations services in the presence of component failures. Besides its primary function, the operations service provides the logistic support, maintenance and repair, storage, etc. Thus, it includes all the functions of the logistic support system. The article deals with such problems of the logistic support as planning, preparing and delivery of spare parts used to repair and recover systems. The authors analyzed customer’s requirements, which ensure stable operation of the specific application computer-aided systems. They discovered that one of activities intended to meet the customer’s requirements is preparing spare parts, which provide the operational onsite repair. Currently there are no governing documents specifying the procedure of spare parts preparation. The article proposes an approach to preparing optimal quantity of spare parts based on failure statistics over the past period and forecasting the number of possible failures over the planned period of time. The authors propose the widely-known method of exponential smoothing as a forecast model, which allows giving an unbiased estimate both for stationary time series, and for polynomial ones. Keywords: logistic support, operation of computer-aided tools, spare parts, preparation of optimal quantity of spares, forecasting of line time series, exponential smoothing.

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