% IMPORTANT: The following is UTF-8 encoded. This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.
@PHDTHESIS{Cremer:862296,
author = {Cremer, Sven Alexander},
othercontributors = {Schuh, Günther and Boos, Wolfgang},
title = {{C}ontrolling der {M}igration in {P}roduktionsnetzwerken;
1. {A}uflage},
volume = {6/2023},
school = {RWTH Aachen University},
type = {Dissertation},
address = {Aachen},
publisher = {Apprimus Verlag},
reportid = {RWTH-2023-00433},
isbn = {978-3-98555-145-3},
series = {Ergebnisse aus der Produktionstechnik},
pages = {1 Online-Ressource : Illustrationen, Diagramme},
year = {2023},
note = {Druckausgabe: 2023. - Auch veröffentlicht auf dem
Publikationsserver der RWTH Aachen University; Dissertation,
RWTH Aachen University, 2022},
abstract = {Manufacturing companies have become true orchestrators of
their global production networks. Globalization has created
a profound interlinkage across the world's markets, to the
point where only those emerge as winners who learn to
successfully master the accompanying dynamics and complexity
of their value chains by making smart, well-informed
decisions.In practice, however, one dimension remains
unmastered – despite all economic and organizational
potential: Migration, that is the operational transformation
of production networks from an existing to a meticulously
planned future configuration, continues to be
unsystematically left to intuition. It is imperative to
consider migration in network models from the very
beginning, to master the dynamics of the problem, and to
arrive at comprehensible, actionable decisions by means of a
systematic overall proceeding with distinct methods. This
has not been achieved to date; besides the industrial
practice, research struggles just the same: Existing
approaches often treat migration as a peripheral remark and
at best only address parts of the requirements. This is why
the author raised the research question of how to design a
methodology for controlling migration in production
networks. He develops a methodology around a continuous
overall process: the Controlling-Eight of Migration. It
contains a planning phase that leads to data-based and
mathematically optimized recommendations for a migration
step sequence. That planning is then forwarded to the
implementation phase. This substantiates the planning,
monitors and guides the implementation, and reports back
evaluated results. The continuous process is complemented by
suggestions for process integration and an accompanying
(data) infrastructure with a digital shadow of the
migration. The author shows how his approach is transferred
into a software-app that – in the spirit of modern
production reference architectures – provides data-based
decision support.},
cin = {417200 / 417210},
ddc = {620},
cid = {$I:(DE-82)417200_20140620$ / $I:(DE-82)417210_20140620$},
typ = {PUB:(DE-HGF)11 / PUB:(DE-HGF)3},
doi = {10.18154/RWTH-2023-00433},
url = {https://publications.rwth-aachen.de/record/862296},
}
guest ::