Автоматизированное управление поставками запасных частей на основе технологий функционального и математического моделирования процессов
Questions of efficiency increase in the field of spare parts (SP) delivery management within the limits of technical products’ after-sales service (ASS) are considered in the article. In these objectives the use of modern information technologies of functional modeling of process organization and their probabilistic analytical models for delivery planning automation on the basis of technical and economic criteria has been suggested. The urgency to solve the problems of the technical products’ after-sales service is proved and the basic risks arising during a performance of this process are identified. The version of functional model describing the process of automated delivery organization management is examined. The example illustrating the automated planning of the delivery maintenance is provided. Dynamics of operated technical products’ quantity variation is represented in the integrated graphic type, providing a way to predict dynamics of quantity variations of serviceable technical products in a constitution of the contractor both in the form of spare parts of the fixed nomenclature and in the form of the curve variation, describing an average factor of technical products’ serviceability. Application of the earned value method is proved to be an effective solution to the problem of cost management in the field of spare part deliveries. The example of automated cost management of spare part deliveries on the basis of the earned value method is considered. The qualitative analysis of risks of being behind the default delivery schedule is examined. Results are estimated by means of the technical product serviceability factor and index that shows deviation from the planned schedule of spare parts delivery. By means of the offered approach it is possible to create algorithms that allow not onlyto estimate both operated and uncontrollable risks, but also to find valid ways to prevent them. It will allow to provide comprehensible balance between the cost and quality that satisfies all current market requirements, as well as to minimize the financial risksconnected both with overestimation and underestimation of the prices on ASS of technicalproducts in comparison with veritable figures.