# 5 38-43 View full article

УДК: 658.84

DOI: https://doi.org/10.36887/2415-8453-2023-4-5

Senyk Yurii,
PhD in Biological, Doctoral Student,
Senior Lecturer, the West Ukrainian National University. Head of the Physical and Chemical Laboratory PJSC "Ternopil Milk Factory",
https://orcid.org/0000-0002-8164-7783

JEL classification: L15; L66; Q18

The paper considers approaches to providing the enterprise with the required raw materials or semi-finished products. The general scheme of the milk raw material transportation cycle was analyzed. According to one approach, the supply system of raw materials can be represented by three constants, based on which several of their relations can be established, allowing us to describe the supply system much better. It is emphasized that the total duration of the cycle for each supplier is individual and depends on the demand indicator and the volume of the batch of the product or raw material. However, each product or raw material supplier’s different cycle times do not allow them to be consolidated to build a stable delivery route. It is essential to achieve the required delivery frequency with maximum vehicle loading. The need to use the ” heijunka board” to organize the efficient operation of routes for the transportation of dairy raw materials by the enterprise’s employees was analyzed. Such a tool allows one to visualize dairy raw materials’ transportation routes and ensure explicit control. For this, a heijunka board and supplier kanban cards are used, which form a graphic representation of transport routes in the corresponding time interval. Policy directions for determining the frequency of transportation of raw materials or semi-finished products are highlighted. It is proved that the optimal order policy must satisfy the zero-order property, and the time between orders can be calculated based on the amount of stock in the warehouse and the speed of their use, which will correspond to the demand indicator d and will reach zero after f orders. The kanban system allows optimal results in combination with the heizunk method, which balances the delivery time of raw materials or products as much as possible. Several models for the analysis of the heizunk system are considered. The common feature of these methods is the search for the optimal size of the buffer stock to ensure the maximum efficiency of production facilities while minimizing losses. The total number of kanbans for the system is decisive because this indicator determines the effectiveness of their adaptation to changes in production conditions.

Keywords: kanban, system, heizunk method, loss minimization, order.

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The article was received 15.09.2023