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Model based logistic monitoring for supply and assembly processes

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

Standard

Model based logistic monitoring for supply and assembly processes. / Münzberg, Ben; Schmidt, Matthias; Beck, Sebastian et al.
In: Production Engineering, Vol. 6, No. 4-5, 09.2012, p. 449-458.

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

Harvard

Münzberg, B, Schmidt, M, Beck, S & Nyhuis, P 2012, 'Model based logistic monitoring for supply and assembly processes', Production Engineering, vol. 6, no. 4-5, pp. 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 Sept;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 Verlag",
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 -

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DOI

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