END-CONSUMERS EXPENSES EVALUATION IN LOGISTIC SYSTEM
Abstract
The offered method of estimation of total expenses of the buyer allows to quantify both objective and subjective expenses at the made purchases. "Consumption expenditures" include explicit and implicit costs for the purchase of the goods. Costs of time associated with the purchase of goods are one of the main indicators of consumer spending. They are classified as follows: time spent on the way to the store and back (associated with the placement and specialization of stores); time spent searching, waiting, getting acquainted with the goods in the store and its selection, cash accounting, and so on. In a particular store, the time consumed by customers is related to the level of service offered: the expectation of service, the degree of compliance with the working regime, the presence of goods, the organization of trade services, the organization level of staff, and more. The monetary expression of the dependence of consumer time consumption on the parameters of the consumption process is determined. It is established that the change in consumer time during the movement from the neighborhood to the store and in the opposite direction with sufficient accuracy is described by a nonlinear regression equation in which the variables are the parameters of the environment: the coefficient of slope, the coefficient of non-linearity coupling, the distance between the points "by air". The results of the research showed that the change in the monetary expression of the consumer's time consumption during the trading service depends on the parameters of the trading facility. The development of consumer-driving logistics systems gives opportunities for improving the functioning of the supply and demand system. The choice of technology for bringing the material flow to the consumer influences the efficiency of the logistics system and the probability of its choice, which shows the closeness of the two systems and makes it possible to analyze their joint functioning.
Keywords: non-linearity coefficient, slope, retailer, distance, purchase time, model.
References
Литература
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