The task of determining the optimal sizes of spare parts for an auto-service enterprise based on the maximum profit criterion for a discrete distribution of demand is formulated as a problem of quadratic programming with linear constraints. To calculate the probabilistic measure of the distribution of the values of the demand vector components, an approximation is used of the empirical distribution function of the demand components by hyper-Erlanger distribution functions, and the subsequent calculation of the corresponding distribution densities.
| Published in | Science Journal of Business and Management (Volume 5, Issue 4) |
| DOI | 10.11648/j.sjbm.20170504.15 |
| Page(s) | 169-174 |
| 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, Storage Costs, Costs for Fulfilling Orders, Distribution
| [1] | Liners M. R., Firon H. E. Supply and inventory management. Logistics. - St. Petersburg: Victoria Plus LLC, 2002. - 768 p. |
| [2] | Lukinsky VS And others. Logistics of motor transport. Concept, methods, models. - Moscow: Finance and Statistics, 2000. |
| [3] | Shchetina VA, Lukinsky VS, Sergeev VI Supply of spare parts for road transport. - Moscow: Transport, 1988. - 109 p. |
| [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] | Maslikov AI Methods and models of managing multinomenclature inventory in the distribution company. - Dis. To the soot. Scientist. The degree of Cand. Sc. - St. Petersburg, 2009. - 172s. |
| [6] | Tikhomirova AN, Sidorenko EV Mathematical Models and Methods in Logistics: Textbook. M.: NNIU MEPhI, 2010. - 320s. |
| [7] | Bowersox D. J., Closs D. J. Logistics. Integrated supply chain. Moscow: ZAD Olimp-Business, 2008. - 632p. |
| [8] | Kisel TR, Buiko LA A logistical approach to the management of an auto transport enterprise. // Bulletin of BNGU, 2006, №4, p. 64-70. |
| [9] | Logistics: Textbook / Under the Red. BAAnikina. - Moscow: 2000. - 352 p. |
| [10] | Models and methods of the theory of logistics, Ed. V. S. Lukinsky. - St. Petersburg: Peter, 2003. - 203 p. |
| [11] | Mohd-LaiR N-A, Muhiddin F-A., Laudi S., Mohd-Tamiri F., ChuA B-L. The spare part inventory management system (SPIMS) for profound heritagy SDN BHD (PHSB): a case study on the EOQ technique //International Journal of research Engineering Technology, vol. 2, Issue 1, Jan 2014, 7-14. |
| [12] | Ivanov DA Supply chain management. - SPb.: Publishing house of the Polytechnical University, 2009. - 660с. |
| [13] | Chang, S. Y., and Yeh, T. Y. A two- echelon supply chaun of a returnable product with fuzzy demand //Applied Mathematical Modelling, vol. 37, no 6, pp. 4305-4315. 2013. |
| [14] | Liu, B., and Liu Y. K. Expected value of fuzzy variable and fuzzy expected value models //IEEE Transaction on Fuzzy System, vol. 10, no 4, pp. 445-450, 2002. |
| [15] | Shao, Z., and Ji, X. Fuzzy multi-product constraint newsboy problem //Applied Mathematics and Computation, vol. 180, no 1, pp. 7-15, 2006. |
| [16] | Yaghin, R. G., Ghomi, S. M. T. F., and Torabi S. A. A hybrid credibility-based fuzzy multiple objective oprimization to differential pricing and inventory policies with arbitrage consideration //International Journal of System Science, vol. 46, no 14, pp. 2628-2639, 2015. |
| [17] | Yao, J. S., Chen, M. S., and Lu, H. F. A fuzzy stochastic single-period model for cash management //European Journal of Operational Research, vol. 170, no 1, pp. 72-90, 2005. |
| [18] | Borgonovo, E., and Elhafsi, M. Financial management in inventory problems: risk averse vs risk neutral policies //International Journal of Production Economics, vol. 118, no. 1, pp. 233-242, 2009. |
| [19] | Li, Y.-N., Y. K. and Liu, Y. K. Oprimizing Fuzzy Multitem Single-period Inventory Problem under Risk-neutral Criterion //Journal of Umertain Systems, vol. 10, no. 2, pp. 130-141, 2016. |
| [20] | Kalashnikov VV, Rachev S. T. Mathematical methods for constructing stochastic service models. - Moscow: Nauka, 1988. - 312p. |
| [21] | Liu, Y. K., and Gao J. The independent of fuzzy variables with application to fuzzy random optimization //International Journal of Production Economics, vol. 81-82, pp. 315-384, 2003. |
| [22] | Liu, J. K., and Liu, B. Expected value operator of random fuzzy variable and random fuzzy expected value models //International Journal of Uncertainty, Fuzzines and Knowledge-Based Systems, vol, 11, no. 2, pp. 195-215, 2003. |
| [23] | Tikhonov AN, Arsen'ev V. Ya. - Moscow: Nauka, 1979. - 285p. |
APA Style
Karimov Nijat Ashraf. (2017). A Logistical Approach to Managing the Resources of Multi Nomenclature Spare Parts of a Corporate Car Service in Conditions of Risk and Uncertainty of Demand. Science Journal of Business and Management, 5(4), 169-174. https://doi.org/10.11648/j.sjbm.20170504.15
ACS Style
Karimov Nijat Ashraf. A Logistical Approach to Managing the Resources of Multi Nomenclature Spare Parts of a Corporate Car Service in Conditions of Risk and Uncertainty of Demand. Sci. J. Bus. Manag. 2017, 5(4), 169-174. doi: 10.11648/j.sjbm.20170504.15
AMA Style
Karimov Nijat Ashraf. A Logistical Approach to Managing the Resources of Multi Nomenclature Spare Parts of a Corporate Car Service in Conditions of Risk and Uncertainty of Demand. Sci J Bus Manag. 2017;5(4):169-174. doi: 10.11648/j.sjbm.20170504.15
Share This Article
Twitter
Linked In
Facebook
Copy
Download@article{10.11648/j.sjbm.20170504.15,
author = {Karimov Nijat Ashraf},
title = {A Logistical Approach to Managing the Resources of Multi Nomenclature Spare Parts of a Corporate Car Service in Conditions of Risk and Uncertainty of Demand},
journal = {Science Journal of Business and Management},
volume = {5},
number = {4},
pages = {169-174},
doi = {10.11648/j.sjbm.20170504.15},
url = {https://doi.org/10.11648/j.sjbm.20170504.15},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sjbm.20170504.15},
abstract = {The task of determining the optimal sizes of spare parts for an auto-service enterprise based on the maximum profit criterion for a discrete distribution of demand is formulated as a problem of quadratic programming with linear constraints. To calculate the probabilistic measure of the distribution of the values of the demand vector components, an approximation is used of the empirical distribution function of the demand components by hyper-Erlanger distribution functions, and the subsequent calculation of the corresponding distribution densities.},
year = {2017}
}
TY - JOUR T1 - A Logistical Approach to Managing the Resources of Multi Nomenclature Spare Parts of a Corporate Car Service in Conditions of Risk and Uncertainty of Demand AU - Karimov Nijat Ashraf Y1 - 2017/08/15 PY - 2017 N1 - https://doi.org/10.11648/j.sjbm.20170504.15 DO - 10.11648/j.sjbm.20170504.15 T2 - Science Journal of Business and Management JF - Science Journal of Business and Management JO - Science Journal of Business and Management SP - 169 EP - 174 PB - Science Publishing Group SN - 2331-0634 UR - https://doi.org/10.11648/j.sjbm.20170504.15 AB - The task of determining the optimal sizes of spare parts for an auto-service enterprise based on the maximum profit criterion for a discrete distribution of demand is formulated as a problem of quadratic programming with linear constraints. To calculate the probabilistic measure of the distribution of the values of the demand vector components, an approximation is used of the empirical distribution function of the demand components by hyper-Erlanger distribution functions, and the subsequent calculation of the corresponding distribution densities. VL - 5 IS - 4 ER -
Information
Email: