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Dynamische Bestandsdimensionierung: Die richtige Menge ist immer kostenoptimal zum richtigen Zeitpunkt am richtigen Ort

Research output: Journal contributions › Journal articles › Research

Authors

Inventory management faces the central logistic challenge to ensure the availability of products demanded by the customers at the planned time considering economic aspects simultaneously. This paper presents an approach for the dynamic, future-oriented inventory disposition in order to remove weaknesses of existing static approaches.
Translated title of the contributionDynamic inventory dimensioning
Original languageGerman
Journalwt Werkstattstechnik online
Volume96
Issue number9
Pages (from-to)650-653
Number of pages6
Publication statusPublished - 2011
Externally publishedYes

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Other publications by the same author(s)

Machine Learning For Determining Planned Order Lead Times In Job Shop Production: A Systematic Review Of Input Factors And Applied Methods

Wolter, F., Rokoss, A. & Schmidt, M., 2025, Conference on Production Systems and Logistics: University of San Ignacio de Loyola Lima, Peru, 18th – 21th March 2025, Proceedings. Herberger, D. & Hübner, M. (eds.). Offenburg: publish-Ing., p. 374-384 11 p. 32. (Proceedings of the ... Conference on Production Systems and Logistics; no. 7).

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Analysis of the relevance of models, influencing factors and the point in time of the forecast on the prediction quality in order-related delivery time determination using machine learning

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Case study on delivery time determination using a machine learning approach in small batch production companies

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Research output: Journal contributions › Journal articles › Research › peer-review

Investigation On The Influence Of Remanufacturing On Production Planning And Control – A Systematic Literature Review

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Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

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