The purpose of the work is the development of a technique for calculating spare parts in an auto service company based on an analysis of statistical information on the failure of details of each standard accumulated on daily information on the replacement of spare parts for serviced vehicles in previous planning periods. In the theory of system reliability, the calculation of the failure distribution function usually uses information on the main characteristic of failures - the time between failures, and in the absence of such information, it is necessary to use information on the number of failures at the time of receipt for maintenance of cars in this auto service plant. In this connection, the relationship between the distribution functions of these random variables is established using the reciprocity of the distribution processes to failure and the number of failures. For each of the competing theoretical functions of the distribution of the operating time to failure, an estimate is made of the average operating time of the details of each standard in the auto service plant on the basis of actual demand. The estimates obtained make it possible to calculate the number of spare parts for the subsequent replenishment period of the SPIE.
| Published in | International Journal of Science, Technology and Society (Volume 5, Issue 5) |
| DOI | 10.11648/j.ijsts.20170505.12 |
| Page(s) | 146-152 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2024. Published by Science Publishing Group |
Spare Parts Kit SPIA, Operating Time to Failure, Replenishment Period, Diffusion Distribution, The Criterion of Consent
| [1] | Agafonov A. V. Determination of the need for dealer car maintenance stations in spare parts and improving the efficiency of inventory management / Thesis for sisk. Scientific degree of Cand. Technical. Sciences, MADI. - Moscow, 2003. - 221s. |
| [2] | Pogrebinsky SB, Strelnikov V. P. Design and reliability of multiprocessor computers, - M.: Radio and Communication, 1988. - 168 p. |
| [3] | Sterlingova A. N. Inventory management in supply chains Moscow Infra-M 2008. |
| [4] | Grishin AS Development of a technique for forecasting the needs of auto service enterprises in spare parts. Thesis for socks. Scientific degree of Cand. Technical. Sciences. - Moscow State Industrial University. - Moscow, 2005. - 153 p. |
| [5] | Maslikov A. I. Methods and models of management of multinomenclature commodity stocks in the distribution company: the dissertation... A Cand. Econ. Sci: 08.00.13 / Maslikov A. I; [Place of protection: S.-Petersburg. Polytechnical. Un-t] - St. Petersburg, 2009 - 177 p: ill. RSL OD, 61 09-8 / 3440. |
| [6] | Ivanov D. A. Supply chain management. St. Petersburg 2009-660 s. |
| [7] | Frolov Yu. N. Determination of the need for road transport in spare parts. Methodical instructions for the seminar. - MADI, Moscow, 2006. - 21c. |
| [8] | GOST 27.005-97. Interstate standard. Reliability in technology. Models of failures. Basic provisions. - Introduction. 01.01.99. - K.: Ed. State Standard of Ukraine, 1999. - 450s. |
| [9] | Kulbak L. I. Basics of calculating the provision of electronic equipment with spare parts. - Moscow: Sov. radio, 1970. - 186s. |
| [10] | Strelnikov V. P. A new technology for investigating the reliability of machines and equipment. // Matematicheskie machine i system, 2007, No. 3, 4. p. 228-237. |
| [11] | Fedukhin AV, Cespedes-Garcia NV To the question of statistical reliability modeling // Mathematician machines i sistemi, 2006, №1, p. 156-163. |
| [12] | Kuznetsov D. S. Special functions. 2 nd edition. Moscow: Higher School, 1965. - 272p. |
APA Style
Karimov Nijat Ashraf. (2017). Calculation of Spare Parts in a Car Service Enterprise Based on Evaluating the Average Time of Details Serviced Automobiles. International Journal of Science, Technology and Society, 5(5), 146-152. https://doi.org/10.11648/j.ijsts.20170505.12
ACS Style
Karimov Nijat Ashraf. Calculation of Spare Parts in a Car Service Enterprise Based on Evaluating the Average Time of Details Serviced Automobiles. Int. J. Sci. Technol. Soc. 2017, 5(5), 146-152. doi: 10.11648/j.ijsts.20170505.12
AMA Style
Karimov Nijat Ashraf. Calculation of Spare Parts in a Car Service Enterprise Based on Evaluating the Average Time of Details Serviced Automobiles. Int J Sci Technol Soc. 2017;5(5):146-152. doi: 10.11648/j.ijsts.20170505.12
Share This Article
Twitter
Linked In
Facebook
Copy
Download@article{10.11648/j.ijsts.20170505.12,
author = {Karimov Nijat Ashraf},
title = {Calculation of Spare Parts in a Car Service Enterprise Based on Evaluating the Average Time of Details Serviced Automobiles},
journal = {International Journal of Science, Technology and Society},
volume = {5},
number = {5},
pages = {146-152},
doi = {10.11648/j.ijsts.20170505.12},
url = {https://doi.org/10.11648/j.ijsts.20170505.12},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijsts.20170505.12},
abstract = {The purpose of the work is the development of a technique for calculating spare parts in an auto service company based on an analysis of statistical information on the failure of details of each standard accumulated on daily information on the replacement of spare parts for serviced vehicles in previous planning periods. In the theory of system reliability, the calculation of the failure distribution function usually uses information on the main characteristic of failures - the time between failures, and in the absence of such information, it is necessary to use information on the number of failures at the time of receipt for maintenance of cars in this auto service plant. In this connection, the relationship between the distribution functions of these random variables is established using the reciprocity of the distribution processes to failure and the number of failures. For each of the competing theoretical functions of the distribution of the operating time to failure, an estimate is made of the average operating time of the details of each standard in the auto service plant on the basis of actual demand. The estimates obtained make it possible to calculate the number of spare parts for the subsequent replenishment period of the SPIE.},
year = {2017}
}
TY - JOUR T1 - Calculation of Spare Parts in a Car Service Enterprise Based on Evaluating the Average Time of Details Serviced Automobiles AU - Karimov Nijat Ashraf Y1 - 2017/08/15 PY - 2017 N1 - https://doi.org/10.11648/j.ijsts.20170505.12 DO - 10.11648/j.ijsts.20170505.12 T2 - International Journal of Science, Technology and Society JF - International Journal of Science, Technology and Society JO - International Journal of Science, Technology and Society SP - 146 EP - 152 PB - Science Publishing Group SN - 2330-7420 UR - https://doi.org/10.11648/j.ijsts.20170505.12 AB - The purpose of the work is the development of a technique for calculating spare parts in an auto service company based on an analysis of statistical information on the failure of details of each standard accumulated on daily information on the replacement of spare parts for serviced vehicles in previous planning periods. In the theory of system reliability, the calculation of the failure distribution function usually uses information on the main characteristic of failures - the time between failures, and in the absence of such information, it is necessary to use information on the number of failures at the time of receipt for maintenance of cars in this auto service plant. In this connection, the relationship between the distribution functions of these random variables is established using the reciprocity of the distribution processes to failure and the number of failures. For each of the competing theoretical functions of the distribution of the operating time to failure, an estimate is made of the average operating time of the details of each standard in the auto service plant on the basis of actual demand. The estimates obtained make it possible to calculate the number of spare parts for the subsequent replenishment period of the SPIE. VL - 5 IS - 5 ER -
Information
Email: