Algorithm for the Development and Delivery of a Multi-Item Set of Spare Parts and Maintenance Supplies for Geographically Dispersed Consumers

Author:

Shilovsky V N,Pitukhin E A,Skobtsov I G

Abstract

Abstract The algorithm for the best development and delivery of a multi-item set of spare parts (SP) and/or maintenance supplies (MS) from the warehouse of the manufacturer or the central warehouse of the dealer to remote/geographically dispersed consumers that use a certain type of equipment. The solution to this problem is very important in order to improve the efficiency of the technical operation of machines and equipment used in any business. Market economy conditions require a strong need in spare parts and a new level of monitoring and management of the spare part provision system for machines and equipment. The article concerns the automation of the management decision making process and practical implementation of the algorithm based in the method that takes the form of a set of math models that take into account the sufficient number of factors and establish the right connections between the controlled and non-controlled variables. The controlled and noncontrolled parameters have been established, the structure of the algorithm for the implementation of math models allows to form a set of spare parts and choose a proper vehicle for the delivery of the set to the consumer. The multi-item set of spare parts must be flexible, both in terms of its composition and of the number of items on the list, the names of the parts that depend on the specific conditions of the delivery, including the operation conditions and the reliability of the serviced equipment. The establishment of the economically justified parameters for the delivery and stock set of spare parts for geographically distributed consumers should be conducted by the minimization of expenditures on the delivery and development of this analytical expression of the target function and the algorithm for its implementation when it comes to any equipment, including construction, agricultural or forest equipment.

Publisher

IOP Publishing

Subject

General Medicine

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