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О моделировании процесса управления запасами с учетом запаздывания для двух видов товаров

О моделировании процесса управления запасами с учетом запаздывания для двух видов товаров

Abstract

Содержанием статьи является апробация построенных авторами ранее математических моделей и разработанного программного продукта на решении прикладных задач управления запасами для двух основных типов товаров народного потребления (продовольственных и непродовольственных) на примере, соответственно, ореха кешью и сотовых телефонов. В частности, выполнено прогнозирование скорости изменения спроса, регулирование объема товарного запаса на складе, а также определение значений параметров для улучшения качества процесса управления.

The authors test the mathematical models and software earlier developed by them on solving the applied problems of stock management for the two types of consumer goods (food and non-food) by example of cashew nut and cell phones. In particular, the rate of change in demand is predicted, inventory volume at the stock is controlled, and parameter values for improving control quality are determined.

Keywords

МАТЕМАТИЧЕСКАЯ МОДЕЛЬ, УПРАВЛЕНИЕ ЗАПАСАМИ, ПРОДОВОЛЬСТВЕННЫЙ И НЕПРОДОВОЛЬСТВЕННЫЙ ТОВАР, ДИФФЕРЕНЦИАЛЬНЫЕ УРАВНЕНИЯ С ЗАПАЗДЫВАЮЩИМ АРГУМЕНТОМ, FOOD AND NON-FOOD (PRODUCTS)

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
gold