Creation of Forecasting Information System for Delivery of Materials in Organization
Journal: International Journal of Mechanical and Production Engineering Research and Development (IJMPERD ) (Vol.10, No. 3)Publication Date: 2020-06-30
Authors : Vladimir Gruzin; Aidar Berdibekov;
Page : 3771-3784
Keywords : Material means; Information system; Forecasting; Monitoring; Management; Technology & Organization;
Abstract
Previous studies have established that the timely supply of material means (MM) can be provided on the basis of diagnostics and / or predictive assessments of the state of technical systems (TS). In this regard, taking into account the operating conditions and the service life of equipment for various purposes, the cost of its repair or manufacturing of parts using structural materials, it is urgent to create forecasting information system (FIS) of needs in MM TS organizations. Based on the foregoing, using FIS, appropriate MM applications can be generated to restore the operability of technical systems operated by organizations. To obtain timely information on the supply of FIS MM, which allows us to show the dynamics of changes in their condition indicators based on monitoring the technical condition of equipment for the period from 2014 to 2019 (the presence of all types of equipment, the number of faulty and decommissioned equipment, the need for spare parts). The decomposition of the FIS for deliveries of MS includes six modules that allow you to determine: forecasting the state of equipment for the next month, forecasting the number of faulty or decommissioned equipment, forecasting indicators of malfunctions of technical equipment, forecasting the demand for MM and specific spare parts, forecasting seasonal fluctuations in the operational state of the TS. Based on the monitoring of all types of equipment for a specified period of time, forecast indicators were determined, taking into account which applications for the supply of MM were prepared. The materials for this article have been prepared as part of the scientific project No. A05135518.
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