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Model-based logistic controlling of converging material flows

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

Standard

Model-based logistic controlling of converging material flows. / Nyhuis, Peter; Beck, Sebastian; Schmidt, Matthias.
In: CIRP Annals - Manufacturing Technology, Vol. 62, No. 1, 01.01.2013, p. 431-434.

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

Harvard

Nyhuis, P, Beck, S & Schmidt, M 2013, 'Model-based logistic controlling of converging material flows', CIRP Annals - Manufacturing Technology, vol. 62, no. 1, pp. 431-434. https://doi.org/10.1016/j.cirp.2013.03.041

APA

Nyhuis, P., Beck, S., & Schmidt, M. (2013). Model-based logistic controlling of converging material flows. CIRP Annals - Manufacturing Technology, 62(1), 431-434. https://doi.org/10.1016/j.cirp.2013.03.041

Vancouver

Nyhuis P, Beck S, Schmidt M. Model-based logistic controlling of converging material flows. CIRP Annals - Manufacturing Technology. 2013 Jan 1;62(1):431-434. doi: 10.1016/j.cirp.2013.03.041

Bibtex

@article{0751c974c5a8434ea033c2166935d6e8,
title = "Model-based logistic controlling of converging material flows",
abstract = "Order elements are often not punctually or synchronically provided in supply chain processes involving the convergence of different material flows (e.g.; assemblies). This paper focuses on the development of a model for reviewing the timeliness and simultaneousness of these converging material flows. The model is validated by simulation studies as well as several practice based case studies. The application of this mathematical model allows the influence of critical supply processes on the logistic performance of the supply chain to be identified and quantified. Hence, measures to improve the logistic performance can be derived and their anticipated impact can be visualized.",
keywords = "Controlling, Logistics, Modeling, Engineering",
author = "Peter Nyhuis and Sebastian Beck and Matthias Schmidt",
year = "2013",
month = jan,
day = "1",
doi = "10.1016/j.cirp.2013.03.041",
language = "English",
volume = "62",
pages = "431--434",
journal = "CIRP Annals - Manufacturing Technology",
issn = "0007-8506",
publisher = "Elsevier Inc.",
number = "1",

}

RIS

TY - JOUR

T1 - Model-based logistic controlling of converging material flows

AU - Nyhuis, Peter

AU - Beck, Sebastian

AU - Schmidt, Matthias

PY - 2013/1/1

Y1 - 2013/1/1

N2 - Order elements are often not punctually or synchronically provided in supply chain processes involving the convergence of different material flows (e.g.; assemblies). This paper focuses on the development of a model for reviewing the timeliness and simultaneousness of these converging material flows. The model is validated by simulation studies as well as several practice based case studies. The application of this mathematical model allows the influence of critical supply processes on the logistic performance of the supply chain to be identified and quantified. Hence, measures to improve the logistic performance can be derived and their anticipated impact can be visualized.

AB - Order elements are often not punctually or synchronically provided in supply chain processes involving the convergence of different material flows (e.g.; assemblies). This paper focuses on the development of a model for reviewing the timeliness and simultaneousness of these converging material flows. The model is validated by simulation studies as well as several practice based case studies. The application of this mathematical model allows the influence of critical supply processes on the logistic performance of the supply chain to be identified and quantified. Hence, measures to improve the logistic performance can be derived and their anticipated impact can be visualized.

KW - Controlling

KW - Logistics

KW - Modeling

KW - Engineering

UR - http://www.scopus.com/inward/record.url?scp=84878848898&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/c4faff76-40ab-39cf-9a5a-6e6efbe08185/

U2 - 10.1016/j.cirp.2013.03.041

DO - 10.1016/j.cirp.2013.03.041

M3 - Journal articles

AN - SCOPUS:84878848898

VL - 62

SP - 431

EP - 434

JO - CIRP Annals - Manufacturing Technology

JF - CIRP Annals - Manufacturing Technology

SN - 0007-8506

IS - 1

ER -

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Other publications by the same author(s)

Field-Based Assessment of Key Influence Factors for Throughput Time Prediction in Job Shop Manufacturing

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Implementierung von Produktrückführungsprozessen in bestehende Produktionsabläufe: Herausforderungen und Anforderungen

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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

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