Self-learning production system in smallbatch production

被引：0

作者：

Stanula P. ^{[1
]}

Metternich J. ^{[1
]}

Glockseisen T. ^{[2
]}

机构：

[1] Institut für Produktionsmanagement, Technologie und Werkzeugmaschinen, TU Darmstadt, Darmstadt/Stadtallendorf

[2] WEZAG GmbH Werkzeugfabrik, Stadtallendorf

来源：

ZWF Zeitschrift fuer Wirtschaftlichen Fabrikbetrieb | 2019年 / 114卷 / 06期

关键词：

Das Projekt (HA-Projekt-Nr.: 511/16 - 23) wird im Rahmen von Hessen ModellProjekte aus Mitteln der LOEWE - Landes- Offensive zur Entwicklung Wissenschaftlich- ökonomischer Exzellenz; Förderlinie 3: KMU-Verbundvorhaben gefördert;

D O I：

10.3139/104.112103

中图分类号：

学科分类号：

摘要：

The production of small batches and customer individual products is a great challenge in production planning and control of small and medium sized companies. The rise of digitalization in production enables new solutions to produce small batches more efficiently. Nevertheless, a structured approach in companies is still an exception. Thus, within the project CrimpProd-S a self-learning production system based on process data was methodically implemented to optimize production planning and control. © Carl Hanser Verlag, München.

引用

页码：332 / 335

页数：3

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