Intelligent Production Planning in the Food Industry

被引：0

作者：

Knitter L. ^{[1
]}

Tschirner J. ^{[2
]}

Jagusch K. ^{[2
]}

Kummer H. ^{[2
]}

Sender J. ^{[3
]}

机构：

[1] Fraunhofer-Institut für Großstrukturen in der Produktionstechnik IGP, Albert-Einstein-Str. 30, Rostock

[2] Fraunhofer IGP, Rostock

来源：

ZWF Zeitschrift fuer Wirtschaftlichen Fabrikbetrieb | 2023年 / 118卷 / 12期

关键词：

Customer-Supplier Relationship; Demand Forecasting; Food Industry; Machine Learning; Platform; Production Planning;

D O I：

10.1515/zwf-2023-1168

中图分类号：

学科分类号：

摘要：

Inadequate production planning in the food industry leads to high wastage. To prevent this, an intelligent prediction algorithm is developed, which can make the prediction based on information from the POS system. Additional parameters can be integrated to increase the prediction accuracy compared to classical methods. An implementation on one platform between customer and supplier minimizes the communication effort. © 2023 Walter de Gruyter GmbH, Berlin/Boston, Germany.

引用

页码：826 / 830

页数：4

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