Controlling der Migration in Produktionsnetzwerken

  • Controlling of migration in global production networks

Cremer, Sven Alexander; Schuh, G√ľnther (Thesis advisor); Boos, Wolfgang (Thesis advisor)

1. Auflage. - Aachen : Apprimus Verlag (2023)
Book, Dissertation / PhD Thesis

In: Ergebnisse aus der Produktionstechnik 6/2023
Page(s)/Article-Nr.: 1 Online-Ressource : Illustrationen, Diagramme

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.

Institutions

  • Laboratory for Machine Tools and Production Engineering (WZL) of RWTH Aachen University [417200]
  • Chair of Production Engineering [417210]

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