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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Karimov Nijat Ashraf, Department of Automotive Engineering, Azerbaijan Technical University, Baku, Azerbaijan
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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.
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
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