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Dimensionierung von Sicherheitsbeständen

Research output: Contributions to collected editions/works › Contributions to collected editions/anthologies › Research › peer-review

Standard

Dimensionierung von Sicherheitsbeständen. / Becker, Julian; Schmidt, Matthias.
Management von Beständen in Supply Chains. ed. / Wolfgang Stölzle; Erik Hofmann; Stefan Selensky; Tim Germann. 2. ed. Zürich: Versus Verlag, 2024. p. 120-132.

Research output: Contributions to collected editions/works › Contributions to collected editions/anthologies › Research › peer-review

Harvard

Becker, J & Schmidt, M 2024, Dimensionierung von Sicherheitsbeständen. in W Stölzle, E Hofmann, S Selensky & T Germann (eds), Management von Beständen in Supply Chains. 2. edn, Versus Verlag, Zürich, pp. 120-132.

APA

Becker, J., & Schmidt, M. (2024). Dimensionierung von Sicherheitsbeständen. In W. Stölzle, E. Hofmann, S. Selensky, & T. Germann (Eds.), Management von Beständen in Supply Chains (2. ed., pp. 120-132). Versus Verlag.

Vancouver

Becker J, Schmidt M. Dimensionierung von Sicherheitsbeständen. In Stölzle W, Hofmann E, Selensky S, Germann T, editors, Management von Beständen in Supply Chains. 2. ed. Zürich: Versus Verlag. 2024. p. 120-132

Bibtex

@inbook{1a79074400f34be4b470a77b1dba573c,
title = "Dimensionierung von Sicherheitsbest{\"a}nden",
keywords = "Ingenieurwissenschaften",
author = "Julian Becker and Matthias Schmidt",
year = "2024",
language = "Deutsch",
isbn = "978-3-03909-174-4",
pages = "120--132",
editor = "Wolfgang St{\"o}lzle and Erik Hofmann and Stefan Selensky and Tim Germann",
booktitle = "Management von Best{\"a}nden in Supply Chains",
publisher = "Versus Verlag",
address = "Schweiz",
edition = "2.",

}

RIS

TY - CHAP

T1 - Dimensionierung von Sicherheitsbeständen

AU - Becker, Julian

AU - Schmidt, Matthias

PY - 2024

Y1 - 2024

KW - Ingenieurwissenschaften

UR - https://d-nb.info/1054624089

UR - https://www.versus.ch/titelanzeige/190/Management%20von%20Best%C3%A4nden%20in%20Supply%20Chains

M3 - Aufsätze in Sammelwerken

SN - 978-3-03909-174-4

SP - 120

EP - 132

BT - Management von Beständen in Supply Chains

A2 - Stölzle, Wolfgang

A2 - Hofmann, Erik

A2 - Selensky, Stefan

A2 - Germann, Tim

PB - Versus Verlag

CY - Zürich

ER -

Other publications by the same author(s)

Implementierung von Produktrückführungsprozessen in bestehende Produktionsabläufe: Herausforderungen und Anforderungen

Sandner, S., Nübel, M., Schulz, J., Metternich, J. & Schmidt, M., 21.06.2025, In: ZWF Zeitschrift für wirtschaftlichen Fabrikbetrieb. 120, 6, p. 397-403 7 p.

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

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).

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

Understanding Resulting Interdependencies Within Production Planning And Control In Hybrid Manufacturing/Remanufacturing Systems

Schulz, J., Hofmann, H., Rokoss, A. & Schmidt, M., 05.2025, Proceedings of the Conference on Production Systems and Logistics: CPSL 2025: 18th – 21th March 2025, University of San Ignacio de Loyola Lima, Peru. Herberger, D. & Hübner, M. (eds.). Offenburg: publish-Ing., p. 114 - 126 13 p. (Proceedings of the ... Conference on Production Systems and Logistics; vol. 7).

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

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

Rokoss, A., Popkes, L. & Schmidt, M., 2024, Proceedings of the CPSL 2024. Herberger, D. & Hübner, M. (eds.). Hannover: publish-Ing., p. 415-431 17 p. (Proceedings of the Conference on Production Systems and Logistics; vol. 2024).

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

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

Rokoss, A., Syberg, M., Tomidei, L., Hülsing, C., Deuse, J. & Schmidt, M., 12.2024, In: Journal of Intelligent Manufacturing. 35, 8, p. 3937-3958 22 p.

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

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