1. //
  2. Start
  3. //
  4. Publikationen
  5. Model based logistic monitoring for supp...
  6. Formate
  7. //

Model based logistic monitoring for supply and assembly processes

Publikation: Beiträge in Zeitschriften › Zeitschriftenaufsätze › Forschung › begutachtet

Standard

Model based logistic monitoring for supply and assembly processes. / Münzberg, Ben; Schmidt, Matthias; Beck, Sebastian et al.
in: Production Engineering, Jahrgang 6, Nr. 4-5, 09.2012, S. 449-458.

Publikation: Beiträge in Zeitschriften › Zeitschriftenaufsätze › Forschung › begutachtet

Harvard

Münzberg, B, Schmidt, M, Beck, S & Nyhuis, P 2012, 'Model based logistic monitoring for supply and assembly processes', Production Engineering, Jg. 6, Nr. 4-5, S. 449-458. https://doi.org/10.1007/s11740-012-0403-9

APA

Münzberg, B., Schmidt, M., Beck, S., & Nyhuis, P. (2012). Model based logistic monitoring for supply and assembly processes. Production Engineering, 6(4-5), 449-458. https://doi.org/10.1007/s11740-012-0403-9

Vancouver

Münzberg B, Schmidt M, Beck S, Nyhuis P. Model based logistic monitoring for supply and assembly processes. Production Engineering. 2012 Sep;6(4-5):449-458. doi: 10.1007/s11740-012-0403-9

Bibtex

@article{9ed498f7bb8e45b38744778b81c25c69,
title = "Model based logistic monitoring for supply and assembly processes",
abstract = "Since a large proportion of disruptions in assembly processes are caused by insufficient logistics, logistics strongly impact the economically significant assembly areas in numerous industrial enterprises. Besides various planning tools there are no sufficient models for describing the logistic behavior of an assembly system. A model based description of the logistic operations in an assembly process is a fundamental prerequisite for making the prevailing complexity controllable. This article presents an approach for modeling logistic processes in assembly areas, which is intended to support the economical organization and logistic controlling of assembly processes.",
keywords = "Assembly, Logistics, Production logistics, Production planning, Engineering",
author = "Ben M{\"u}nzberg and Matthias Schmidt and Sebastian Beck and Peter Nyhuis",
year = "2012",
month = sep,
doi = "10.1007/s11740-012-0403-9",
language = "English",
volume = "6",
pages = "449--458",
journal = "Production Engineering",
issn = "0944-6524",
publisher = "Springer",
number = "4-5",

}

RIS

TY - JOUR

T1 - Model based logistic monitoring for supply and assembly processes

AU - Münzberg, Ben

AU - Schmidt, Matthias

AU - Beck, Sebastian

AU - Nyhuis, Peter

PY - 2012/9

Y1 - 2012/9

N2 - Since a large proportion of disruptions in assembly processes are caused by insufficient logistics, logistics strongly impact the economically significant assembly areas in numerous industrial enterprises. Besides various planning tools there are no sufficient models for describing the logistic behavior of an assembly system. A model based description of the logistic operations in an assembly process is a fundamental prerequisite for making the prevailing complexity controllable. This article presents an approach for modeling logistic processes in assembly areas, which is intended to support the economical organization and logistic controlling of assembly processes.

AB - Since a large proportion of disruptions in assembly processes are caused by insufficient logistics, logistics strongly impact the economically significant assembly areas in numerous industrial enterprises. Besides various planning tools there are no sufficient models for describing the logistic behavior of an assembly system. A model based description of the logistic operations in an assembly process is a fundamental prerequisite for making the prevailing complexity controllable. This article presents an approach for modeling logistic processes in assembly areas, which is intended to support the economical organization and logistic controlling of assembly processes.

KW - Assembly

KW - Logistics

KW - Production logistics

KW - Production planning

KW - Engineering

UR - http://www.scopus.com/inward/record.url?scp=84865552630&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/8e0fa2cc-e314-3a23-bae8-e78ce9fc4e92/

U2 - 10.1007/s11740-012-0403-9

DO - 10.1007/s11740-012-0403-9

M3 - Journal articles

AN - SCOPUS:84865552630

VL - 6

SP - 449

EP - 458

JO - Production Engineering

JF - Production Engineering

SN - 0944-6524

IS - 4-5

ER -

In der gleichen Zeitschrift

Investigation of the friction behavior between dry/infiltrated glass fiber fabric and metal sheet during deep drawing of fiber metal laminates

Kruse, M., Werner, H. O., Chen, H., Mennecart, T., Liebig, W. V., Weidenmann, K. A. & Ben Khalifa, N., 02.2023, in: Production Engineering. 17, 1, S. 37-46 10 S.

Publikation: Beiträge in Zeitschriften › Zeitschriftenaufsätze › Forschung › begutachtet

The Hanoverian Supply Chain Model: modelling the impact of production planning and control on a supply chain's logistic objectives

Schmidt, M. & Schäfers, P., 01.10.2017, in: Production Engineering. 11, 4-5, S. 487-493 7 S.

Publikation: Beiträge in Zeitschriften › Zeitschriftenaufsätze › Forschung › begutachtet

New incremental methods for springback compensation by stress superposition

Kleiner, M., Tekkaya, A. E., Chatti, S., Hermes, M., Weinrich, A., Ben-Khalifa, N. & Dirksen, U., 06.2009, in: Production Engineering. 3, 2, S. 137-144 8 S.

Publikation: Beiträge in Zeitschriften › Zeitschriftenaufsätze › Forschung › begutachtet

Weitere Publikationen dieser Person(en)

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. (Hrsg.). Hannover: publish-Ing., S. 415-431 17 S. (Proceedings of the Conference on Production Systems and Logistics; Band 2024).

Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › begutachtet

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

Rokoss, A., Syberg, M., Tomidei, L., Deuse, J. & Schmidt, M., 12.01.2024, (Elektronische Veröffentlichung vor Drucklegung) in: Journal of Intelligent Manufacturing. 23 S.

Publikation: Beiträge in Zeitschriften › Zeitschriftenaufsätze › Forschung › begutachtet

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

Schulz, J., Hillnhagen, S. & Schmidt, M., 07.2024, Proceedings of the CPSL 2024. Herberger, D. & Hübner, M. (Hrsg.). publish-Ing., S. 13-27 15 S. (Proceedings of the Conference on Production Systems and Logistics; Band 2024).

Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › begutachtet

Quantifying circular economy pathways of decommissioned onshore wind turbines: The case of Denmark and Germany

Kramer, K. J., Abrahamsen, A. B., Beauson, J., Hansen, U. E., Clausen, N. E., Velenturf, A. P. M. & Schmidt, M., 01.09.2024, in: Sustainable Production and Consumption. 49, S. 179-192 14 S.

Publikation: Beiträge in Zeitschriften › Zeitschriftenaufsätze › Forschung › begutachtet

Zukunftslabor Produktion: Vernetzung, Modellierung und Optimierung in der industriellen Produktion

Kallisch, J., Denkena, B., Kramer, K., Stürenburg, L., Pachandrin, S., Rokicki, M., Walter, J., Nein, M., Voss, M., Wunck, C., Niemann, K. H., Schmidt, M., Dilger, K., Niederée, C. & Hoffmann, N., 05.2024, in: ZWF Zeitschrift fuer Wirtschaftlichen Fabrikbetrieb. 119, 5, S. 372-377 6 S.

Publikation: Beiträge in Zeitschriften › Zeitschriftenaufsätze › Forschung › begutachtet

DOI