The prospect of using neural networks to plan the loading of a machining site

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This article describes the prospects of using neural networks to divide parts into groups, which can be used in production planning using two tools: grouping parts according to any design and technological features, and further performing machining operations for a group of parts, rather than for each type of parts separately and applying the piece time coefficient. details of the analogue, on the part being implemented.

Production planning, grouping of parts, machining, neural networks, piece time adjustment

Короткий адрес: https://sciup.org/170207141

IDR: 170207141   |   DOI: 10.24412/2500-1000-2024-9-2-115-117

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