Produktionsbedarfsplanung

Schuh, Günther; Schmidt, Carsten; Hering, Niklas

doi:10.1007/978-3-642-54288-6_4

Cited by 2 publications

(1 citation statement)

References 35 publications

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“…Production Planning and Control (PPC) coordinates all relevant activities along the order processing chain to ensure that the predefined logistic KPIs, such as delivery times, inventory levels or capacity utilization, are in the acceptable range [1]. As achieving performance targets can have short and long-term economic consequences for manufacturing companies, reliable and accurate production planning is vital.…”

Section: Introductionmentioning

confidence: 99%

Improving the Planning Quality in Practice with Artificial Intelligence

Czarnetzki,

Karnok,

Breitschopf

et al. 2023

Proceedings of the 19th IMEKO TC10 International Conference on Measurement for Diagnostics, Optimization and Control on Measure

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Accurate production planning is economic interest of manufacturing companies. Reducing the work-inprogress levels, the lead time or control efforts with the simultaneous increase of utilization and adherence to schedule might lead to instantaneous cost reduction and to increased competitiveness on long-term. In the era of digitization various artificial intelligence-based methods have been investigated by the scientific community to improve these key performance indicators. In this paper the results of a joint research project dealing with planning quality improvement with the help of Machine Learning (ML) are summarized. The results of two use case studies investigating the application and suitability of different planning approaches in the semiconductor and steel industries are presented and considerations regarding the practical application of ML assisted planning approaches are discussed.

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Section: Introductionmentioning

confidence: 99%

Improving the Planning Quality in Practice with Artificial Intelligence

Czarnetzki,

Karnok,

Breitschopf

et al. 2023

Proceedings of the 19th IMEKO TC10 International Conference on Measurement for Diagnostics, Optimization and Control on Measure

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Das „rollierende“ Lagerkonzept für Bestandsmanagement in KKU

Dai¹,

Tobie²,

Stahl³

2019

Zeitschrift Für Wirtschaftlichen Fabrikbetrieb

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Kurzfassung In Klein- und Kleinstunternehmen (KKU) herrschen häufig eingeschränkte Räumlichkeiten. Diese beschränken nicht nur die effiziente Gestaltung und Realisierung der operativen Produktion, sondern auch das strukturierte und rationalisierte Bestandsmanagement. Dies hat Verschwendung aller Arten zur Folge. Aufgrund begrenzter Finanzmittel gegenüber mittleren und Großunternehmen lassen sich in KKU nicht alle wirksamen Methoden des Ganzheitlichen Produktions-systems (GPS) anwenden und realisieren. KKU bedürfen vielmehr spezifischer, maßgeschneiderter Lösungen für ein effizienteres Bestandsmanagement. Das in diesem Beitrag vorgestellte Lagerkonzept liefert eine Möglichkeit anhand der Kombination mehrerer Methoden die eingeschränkten Räumlichkeiten effizienter zu nutzen.

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Produktionsbedarfsplanung

Cited by 2 publications

References 35 publications

Improving the Planning Quality in Practice with Artificial Intelligence

Improving the Planning Quality in Practice with Artificial Intelligence

Das „rollierende“ Lagerkonzept für Bestandsmanagement in KKU

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