FEATURES OF FORMING AUTO PARTS ORDERS AT MULTIPLE NOMENCLATURE MANAGEMENT

Abstract

The subject of the study is the change in costs at the enterprise when ordering a batch of auto parts with multi-item management according to the system of multiple periods in modern conditions The goal is to develop is the development of a method for determining the optimal size of a multi-item order according to the system of multiple periods, taking into account real parameters reflecting a large number of factors, which will improve the efficiency of the enterprise by reducing general logistics costs. Research objectives: analysis of existing methods aimed at improving multi-item orders, determination of order parameters according to the system of multiple periods; definition of mathematical models allowing to determine the optimal parameters of a multi-item order: the interval between orders, the multiplicity factor. As an optimality criterion, the minimum costs for transportation and storage are taken. The following results are received. A mathematical model is proposed that allows determining the interval between multi-item deliveries and the multiplicity factor between deliveries for each item. A mathematical model has been established that takes into account the costs of storage and transportation, taking into account the order of a different number of items. A decision-making scheme is proposed for determining the system of multi-item orders depending on the storage parameters and the cost of delivery. Conclusions. The issue of minimizing the costs caused by the process of purchasing, transporting and storing car spare parts directly affects the efficiency of an enterprise engaged in car repair. Therefore, it is necessary to look for various options aimed at reduci ng costs. Therefore, when calculating batches of an order, it is necessary to consider several options for organiz ing deliveries. With the help of the proposed model, it is possible to determine such batch parameters at which the costs of storage and transportation of a multi-item delivery will be minimal.