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
Volume 5, Issue 4, August 2017, Pages: 169-174
Received: Jun. 8, 2017; Accepted: Jul. 25, 2017; Published: Aug. 15, 2017
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Author
Karimov Nijat Ashraf, Department of Automotive Engineering, Azerbaijan Technical University, Baku, Azerbaijan
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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.
Keywords
Spare Parts, Storage Costs, Costs for Fulfilling Orders, Distribution
To cite this article
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, Science Journal of Business and Management. Vol. 5, No. 4, 2017, pp. 169-174. doi: 10.11648/j.sjbm.20170504.15
Copyright
Copyright © 2017 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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