Abstract
Optimization of the stock management process is associated with the search for a forecasting model, a method for generation of a forecasting time series, a model of logistic operation, determining a reasonable level of reserve stocks and establishing the optimization criterion.Successful solution to the optimization problem in general can be achieved only if the whole complex of local management problems is successfully solved. In this case, the method of generation of a cointegrated time series of demand forecasting is the central element of the technology of optimal stocks management. This relates to the fact that probabilistic nature of demand is the main factor reducing efficiency of management in systems of this class.It was shown that the proposed method for improving management efficiency can be used in any economic system due to the possibility of construction of a single logistic operation model.The proposed approach is based on formation of a time series specifically designed to solve the problem of forecasting the demand in stocks buffering systems. Such a series contains both information on sales volumes and data related to consumer demand.Since consumer activity is ahead of the process of physical consumption of products, it becomes possible to use anticipatory markers in forecasting problems.The study of operational processes using a verified indicator of efficiency has confirmed the hypothesis of presence of anticipatory markers within the framework of the formed forecast time series.It has been established that the maximum management efficiency can be achieved in the case of a lower construction accuracy of the forecast model. This is due to the fact that the logistic operation model takes into account the costs of movement of products and their valuation at the operation input and output.
Highlights
Level of demand for a particular consumer product is one of the main factors determining the feasibility of business development and its scope [1]
Given that demand is probabilistic but not random, the increase in management efficiency is primarily achieved by using the methods increasing accuracy of demand forecasting
It has been established that the increase in management efficiency in logistic systems is provided by the method of improving efficiency of demand forecasting
Summary
Level of demand for a particular consumer product is one of the main factors determining the feasibility of business development and its scope [1]. Effectiveness of the system process is influenced by many factors They include the time of access to the sources of technological and energy products, their cost, the degree of development of the labor market, the degree of proximity of the final product to final consumers, availability of a developed infrastructure for product transportation, etc. All these factors are significant but stable enough making it possible to take into account their influence at the enterprise creation and development stages. This requires solution of technological forecasting problems [3]. One of the main ways to improved efficiency of resource usage consists in development of methods increasing efficiency of operational forecasting
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