The Calculation of the Spare Parts in the Auto-service Enterprise on the Base of Real Demand

Dyshin Oleq Aleksandr; Karimov Nijat Ashraf

doi:doi:10.11648/j.es.20170203.14

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The Calculation of the Spare Parts in the Auto-service Enterprise on the Base of Real Demand

Dyshin Oleq Aleksandr, Karimov Nijat Ashraf

Published in Engineering Science (Volume 2, Issue 3)

Received: 21 May 2017 Accepted: 12 June 2017 Published: 14 July 2017

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Abstract

The main goal of the work is the development of a methodology for calculating the spare parts of cars in a service center for the period of replenishment of spare parts, tools, accessories, the English version - spare parts, instruments, accessories - SPIA on the basis of analysis of statistical information on the failures of the details of each standard. This information should be accumulated on daily information about the replacement of spare parts of failed parts in vehicles that arrived during the entire period of replenishment for maintenance at this service station. Previously, from the totality of a finite number of competing hypotheses about a possible theoretical parametric distribution of failures (including diffusion distributions), the distribution function most consistent with the empirical distribution function is chosen by Kolmogorov-Smirnov's agreement criterion. When calculating the failure distribution function in the theory of system reliability, information is usually used about the main characteristic of failures-the time between failures, and in the absence of such information, they use the number of failures at certain points in time. To this end, the relationship between the expressions for the distribution function of the operating time to a fixed number of failures and the function of the distribution of the number of failures for a fixed operating time to failure is established in this paper. This makes it possible to calculate the planned need for spare parts on the basis of the available statistics of failure of parts (and replacement of their corresponding spare parts) in previous planning periods. Given that fatigue wear of one part, even before its complete failure, can diffusively affect the performance of other car parts, in the aggregate of competing functions for the distribution of failures of parts included diffusion monotonic (DM) and diffusion no monotonic (DM). The proposed methodology is approved for the calculation of spare parts for individual component sizes and, in general, for any car parts by the example of a particular auto service company in the replenishment period of the SPIA equal to one calendar month.

Published in	Engineering Science (Volume 2, Issue 3)
DOI	10.11648/j.es.20170203.14
Page(s)	78-84
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), 2017. Published by Science Publishing Group

Keywords

Spare Parts, Replenishment Period, Adequacy Indicator of Spare Elements, Agreement Criterion, Operating Time to Failure

References

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[2]	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.
[3]	Frolov Yu. N. Determination of the need for road transport in spare parts. Methodical instructions for the seminar. - MADI, Moscow, 2006. - 21c.
[4]	Shcherbakov D. A. Logistical methods and models of the organization of service and supply management in the systems of firm car service. - Dis. Na syisk. uchen. steni can. Ekonom. nauk. - St. Petersburg, 2003. - 142s.
[5]	Ivanov DA Supply chain management. - SPb.: Publishing house of the Polytechnical University, 2009. - 660с.
[6]	Sterligova A. N. Inventory management for supply: Textbook. - Moscow: INFRA-M, 2005. - 430s.
[7]	Ryzhikov Yu. I. Queuing theory and inventory management. - St. Petersburg: Peter, 2001. - 384 p.
[8]	Pogrebinsky SB, Strelnikov V. P. Design and reliability of multiprocessor computers, - M.: Radio and Communication, 1988. - 168 p.
[9]	Strelnikov VP, Fedukhin A. V. Estimation and prediction of reliability of electronic components and systems. - K.: Logos, 2002. - 486 p.
[10]	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. - 45s.
[11]	Maslikov A. I. Methods and models of managing multinomenclature inventory in the distribution company. / Thesis for sisk. Uchen. The degree of Cand. Sc. - St. Petersburg. State. Technically Un-t. St. Petersburg., 2009.
[12]	Fedukhin A. V. To the question of tabulating the functions of the distribution of failures. // Mathematical machines and systems, 2006, №2, p. 147-152.
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[14]	Strelnikov V. P. Calculation of spare parts on the basis of DN-distribution // Mathematician machines i sistemi, 2009, №3. P. 188-193.
[15]	Kulbak LI Basics of calculating the provision of electronic equipment with spare parts. - Moscow: Sov. radio, 1970. - 186s.

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APA Style

Dyshin Oleq Aleksandr, Karimov Nijat Ashraf. (2017). The Calculation of the Spare Parts in the Auto-service Enterprise on the Base of Real Demand. Engineering Science, 2(3), 78-84. https://doi.org/10.11648/j.es.20170203.14

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ACS Style

Dyshin Oleq Aleksandr; Karimov Nijat Ashraf. The Calculation of the Spare Parts in the Auto-service Enterprise on the Base of Real Demand. Eng. Sci. 2017, 2(3), 78-84. doi: 10.11648/j.es.20170203.14

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AMA Style

Dyshin Oleq Aleksandr, Karimov Nijat Ashraf. The Calculation of the Spare Parts in the Auto-service Enterprise on the Base of Real Demand. Eng Sci. 2017;2(3):78-84. doi: 10.11648/j.es.20170203.14

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@article{10.11648/j.es.20170203.14,
  author = {Dyshin Oleq Aleksandr and Karimov Nijat Ashraf},
  title = {The Calculation of the Spare Parts in the Auto-service Enterprise on the Base of Real Demand},
  journal = {Engineering Science},
  volume = {2},
  number = {3},
  pages = {78-84},
  doi = {10.11648/j.es.20170203.14},
  url = {https://doi.org/10.11648/j.es.20170203.14},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.es.20170203.14},
  abstract = {The main goal of the work is the development of a methodology for calculating the spare parts of cars in a service center for the period of replenishment of spare parts, tools, accessories, the English version - spare parts, instruments, accessories - SPIA on the basis of analysis of statistical information on the failures of the details of each standard. This information should be accumulated on daily information about the replacement of spare parts of failed parts in vehicles that arrived during the entire period of replenishment for maintenance at this service station. Previously, from the totality of a finite number of competing hypotheses about a possible theoretical parametric distribution of failures (including diffusion distributions), the distribution function most consistent with the empirical distribution function is chosen by Kolmogorov-Smirnov's agreement criterion. When calculating the failure distribution function in the theory of system reliability, information is usually used about the main characteristic of failures-the time between failures, and in the absence of such information, they use the number of failures at certain points in time. To this end, the relationship between the expressions for the distribution function of the operating time to a fixed number of failures and the function of the distribution of the number of failures for a fixed operating time to failure is established in this paper. This makes it possible to calculate the planned need for spare parts on the basis of the available statistics of failure of parts (and replacement of their corresponding spare parts) in previous planning periods. Given that fatigue wear of one part, even before its complete failure, can diffusively affect the performance of other car parts, in the aggregate of competing functions for the distribution of failures of parts included diffusion monotonic (DM) and diffusion no monotonic (DM). The proposed methodology is approved for the calculation of spare parts for individual component sizes and, in general, for any car parts by the example of a particular auto service company in the replenishment period of the SPIA equal to one calendar month.},
 year = {2017}
}

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TY  - JOUR
T1  - The Calculation of the Spare Parts in the Auto-service Enterprise on the Base of Real Demand
AU  - Dyshin Oleq Aleksandr
AU  - Karimov Nijat Ashraf
Y1  - 2017/07/14
PY  - 2017
N1  - https://doi.org/10.11648/j.es.20170203.14
DO  - 10.11648/j.es.20170203.14
T2  - Engineering Science
JF  - Engineering Science
JO  - Engineering Science
SP  - 78
EP  - 84
PB  - Science Publishing Group
SN  - 2578-9279
UR  - https://doi.org/10.11648/j.es.20170203.14
AB  - The main goal of the work is the development of a methodology for calculating the spare parts of cars in a service center for the period of replenishment of spare parts, tools, accessories, the English version - spare parts, instruments, accessories - SPIA on the basis of analysis of statistical information on the failures of the details of each standard. This information should be accumulated on daily information about the replacement of spare parts of failed parts in vehicles that arrived during the entire period of replenishment for maintenance at this service station. Previously, from the totality of a finite number of competing hypotheses about a possible theoretical parametric distribution of failures (including diffusion distributions), the distribution function most consistent with the empirical distribution function is chosen by Kolmogorov-Smirnov's agreement criterion. When calculating the failure distribution function in the theory of system reliability, information is usually used about the main characteristic of failures-the time between failures, and in the absence of such information, they use the number of failures at certain points in time. To this end, the relationship between the expressions for the distribution function of the operating time to a fixed number of failures and the function of the distribution of the number of failures for a fixed operating time to failure is established in this paper. This makes it possible to calculate the planned need for spare parts on the basis of the available statistics of failure of parts (and replacement of their corresponding spare parts) in previous planning periods. Given that fatigue wear of one part, even before its complete failure, can diffusively affect the performance of other car parts, in the aggregate of competing functions for the distribution of failures of parts included diffusion monotonic (DM) and diffusion no monotonic (DM). The proposed methodology is approved for the calculation of spare parts for individual component sizes and, in general, for any car parts by the example of a particular auto service company in the replenishment period of the SPIA equal to one calendar month.
VL  - 2
IS  - 3
ER  -

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Author Information

Dyshin Oleq Aleksandr

Azerbaijan State University of Oil and Industry, Baku, Azerbaijan
Karimov Nijat Ashraf

Department of Automotive Engineering, Azerbaijan Technical University, Baku, Azerbaijan

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APA Style

Dyshin Oleq Aleksandr, Karimov Nijat Ashraf. (2017). The Calculation of the Spare Parts in the Auto-service Enterprise on the Base of Real Demand. Engineering Science, 2(3), 78-84. https://doi.org/10.11648/j.es.20170203.14

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ACS Style

Dyshin Oleq Aleksandr; Karimov Nijat Ashraf. The Calculation of the Spare Parts in the Auto-service Enterprise on the Base of Real Demand. Eng. Sci. 2017, 2(3), 78-84. doi: 10.11648/j.es.20170203.14

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AMA Style

Dyshin Oleq Aleksandr, Karimov Nijat Ashraf. The Calculation of the Spare Parts in the Auto-service Enterprise on the Base of Real Demand. Eng Sci. 2017;2(3):78-84. doi: 10.11648/j.es.20170203.14

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@article{10.11648/j.es.20170203.14,
  author = {Dyshin Oleq Aleksandr and Karimov Nijat Ashraf},
  title = {The Calculation of the Spare Parts in the Auto-service Enterprise on the Base of Real Demand},
  journal = {Engineering Science},
  volume = {2},
  number = {3},
  pages = {78-84},
  doi = {10.11648/j.es.20170203.14},
  url = {https://doi.org/10.11648/j.es.20170203.14},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.es.20170203.14},
  abstract = {The main goal of the work is the development of a methodology for calculating the spare parts of cars in a service center for the period of replenishment of spare parts, tools, accessories, the English version - spare parts, instruments, accessories - SPIA on the basis of analysis of statistical information on the failures of the details of each standard. This information should be accumulated on daily information about the replacement of spare parts of failed parts in vehicles that arrived during the entire period of replenishment for maintenance at this service station. Previously, from the totality of a finite number of competing hypotheses about a possible theoretical parametric distribution of failures (including diffusion distributions), the distribution function most consistent with the empirical distribution function is chosen by Kolmogorov-Smirnov's agreement criterion. When calculating the failure distribution function in the theory of system reliability, information is usually used about the main characteristic of failures-the time between failures, and in the absence of such information, they use the number of failures at certain points in time. To this end, the relationship between the expressions for the distribution function of the operating time to a fixed number of failures and the function of the distribution of the number of failures for a fixed operating time to failure is established in this paper. This makes it possible to calculate the planned need for spare parts on the basis of the available statistics of failure of parts (and replacement of their corresponding spare parts) in previous planning periods. Given that fatigue wear of one part, even before its complete failure, can diffusively affect the performance of other car parts, in the aggregate of competing functions for the distribution of failures of parts included diffusion monotonic (DM) and diffusion no monotonic (DM). The proposed methodology is approved for the calculation of spare parts for individual component sizes and, in general, for any car parts by the example of a particular auto service company in the replenishment period of the SPIA equal to one calendar month.},
 year = {2017}
}

Copy | Download

TY  - JOUR
T1  - The Calculation of the Spare Parts in the Auto-service Enterprise on the Base of Real Demand
AU  - Dyshin Oleq Aleksandr
AU  - Karimov Nijat Ashraf
Y1  - 2017/07/14
PY  - 2017
N1  - https://doi.org/10.11648/j.es.20170203.14
DO  - 10.11648/j.es.20170203.14
T2  - Engineering Science
JF  - Engineering Science
JO  - Engineering Science
SP  - 78
EP  - 84
PB  - Science Publishing Group
SN  - 2578-9279
UR  - https://doi.org/10.11648/j.es.20170203.14
AB  - The main goal of the work is the development of a methodology for calculating the spare parts of cars in a service center for the period of replenishment of spare parts, tools, accessories, the English version - spare parts, instruments, accessories - SPIA on the basis of analysis of statistical information on the failures of the details of each standard. This information should be accumulated on daily information about the replacement of spare parts of failed parts in vehicles that arrived during the entire period of replenishment for maintenance at this service station. Previously, from the totality of a finite number of competing hypotheses about a possible theoretical parametric distribution of failures (including diffusion distributions), the distribution function most consistent with the empirical distribution function is chosen by Kolmogorov-Smirnov's agreement criterion. When calculating the failure distribution function in the theory of system reliability, information is usually used about the main characteristic of failures-the time between failures, and in the absence of such information, they use the number of failures at certain points in time. To this end, the relationship between the expressions for the distribution function of the operating time to a fixed number of failures and the function of the distribution of the number of failures for a fixed operating time to failure is established in this paper. This makes it possible to calculate the planned need for spare parts on the basis of the available statistics of failure of parts (and replacement of their corresponding spare parts) in previous planning periods. Given that fatigue wear of one part, even before its complete failure, can diffusively affect the performance of other car parts, in the aggregate of competing functions for the distribution of failures of parts included diffusion monotonic (DM) and diffusion no monotonic (DM). The proposed methodology is approved for the calculation of spare parts for individual component sizes and, in general, for any car parts by the example of a particular auto service company in the replenishment period of the SPIA equal to one calendar month.
VL  - 2
IS  - 3
ER  -

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