Сравнительный анализ принципов распределения ограниченного количества запаса в логистической сети

Логистика и управление цепями поставок. 2019. № 6. С. 39–49.

Yermolina M., Zakhodiakin G.

The article considers the situation when a company needs to distribute limited amount of stock to the regional warehouses in its own two-echelon distribution network. The network consists of a single distribution center and several regional facilities which are serving the company’s customers. It is supposed that every warehouse calculates its requirements for the replenishment daily basing on the on-hand inventory, demand forecast, safety stocks and lead-times from the central warehouse. Thus, company’s managers are aware of the consumption rate and inventory level at each regional facility. Demand forecasting and final replenishment planning decisions are centralized. Notion of the “limited stock” refers to such inventory quantity at the central warehouse that is insufficient to satisfy the total volume of all regional warehouses’ requirements for the product. Limited stock situation may have varying length in time. A system of rationing rules or principles should be applied to make a distribution decision in such a situation. These set of rules identify the volume and sequence of the shipments from the central to regional warehouses. So, in this article authors aim to solve the following problems: - to identify factors that affect the choice of a certain set of rationing rules for the limited stock; - to attempt to classify existing rationing principles; - to identify how the business goals affect the choice of the preferred rationing principle; - to create an imitation model and check experimentally which rationing principles are the best for each of the business goal The outcomes gained might be used as a base for the choice of the limited stock rationing principles in companies with own distribution network, and for better tuning of the distribution algorithms in DRP systems or modules.

Keywords: имитационное моделирование, simulation, управление запасами, inventory management, inventory optimization, оптимизация запасов, inventory distribution optimization, distribution requirements planning, оптимизация распределения запасов, планирование потребностей распределения