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Tactical Order Allocation in International Manufacturing Networks

  • Michael Martin

    Michael Martin, M. Sc., born in 1995, studied mechanical engineering at Technical University Munich and Baden-Wuerttemberg Cooperative State University. He is a research associate in the group Global Production Strategies at the wbk Institute of Production Science at the Karlsruhe Institute of Technology (KIT).

     EMAIL logo     , Moritz Hörger

    Moritz Hörger, M. Sc., born in 1997, studied industrial engineering at Karlsruhe Institute of Technology. He is a research associate in the group Global Production Strategies at the wbk Institute of Production Science at the Karlsruhe Institute of Technology (KIT).

         and Gisela Lanza

    Prof. Dr.-Ing. Gisela Lanza studied industrial engineering at the Karlsruhe Institute of Technology (KIT) and held the first shared professorship “Global Production Engineering and Quality” at KIT in cooperation with Daimler AG. Since 2003, she has been the head of the Production Systems Department at the wbk Institute of Production Science of Karlsruhe Institute of Technology (KIT).
Published/Copyright: February 10, 2024
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Zeitschrift für wirtschaftlichen Fabrikbetrieb
From the journal Zeitschrift für wirtschaftlichen Fabrikbetrieb Volume 119 Issue 1-2

Abstract

Manufacturing networks are subject to various operational disruptions, requiring rapid long-term planning adjustments. Reconfigurable manufacturing systems allow the network plants’ dynamic adaptation, enabling flexible manufacturing volume shifts. Therefore, the present paper introduces a novel approach to tactically optimize order allocations in manufacturing networks. With the help of an extended lot sizing and scheduling problem, orders are assigned in a multi-plant, multi-product manufacturing network.

Abstract

Produktionsnetzwerke sind verschiedenen Störungen ausgesetzt, die schnelle langfristige Planungsanpassungen erfordern. Rekonfigurierbare Produktionssysteme ermöglichen eine dynamische Anpassung der Systeme im Produktionsnetzwerk und damit eine flexible Verlagerung des Produktionsvolumens. Daher wird in diesem Beitrag ein neuartiger Ansatz zur taktischen Optimierung der Auftragsallokation in Produktionsnetzwerken vorgestellt. Mithilfe eines adaptierten Losgrößen- und Reihenfolgeproblems werden Aufträge in einem werks- und produktübergreifenden Produktionsnetzwerk zugewiesen.

Keywords: Order Allocation; International Manufacturing; Manufacturing Network; Reconfigurable Manufacturing System; Network Management
Schlüsselwörter: Auftragsallokation; Globale Produktion; Produktionsnetzwerk; Rekonfigurierbares Produktionssystem; Netzwerkmanagement

Note

This article is peer reviewed by the members of the ZWF Advisory Board.

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About the authors

Michael Martin

Michael Martin, M. Sc., born in 1995, studied mechanical engineering at Technical University Munich and Baden-Wuerttemberg Cooperative State University. He is a research associate in the group Global Production Strategies at the wbk Institute of Production Science at the Karlsruhe Institute of Technology (KIT).

Moritz Hörger

Moritz Hörger, M. Sc., born in 1997, studied industrial engineering at Karlsruhe Institute of Technology. He is a research associate in the group Global Production Strategies at the wbk Institute of Production Science at the Karlsruhe Institute of Technology (KIT).

Prof. Dr.-Ing. Gisela Lanza

Prof. Dr.-Ing. Gisela Lanza studied industrial engineering at the Karlsruhe Institute of Technology (KIT) and held the first shared professorship “Global Production Engineering and Quality” at KIT in cooperation with Daimler AG. Since 2003, she has been the head of the Production Systems Department at the wbk Institute of Production Science of Karlsruhe Institute of Technology (KIT).

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Published Online: 2024-02-10
Published in Print: 2024-02-29

© 2024 Walter de Gruyter GmbH, Berlin/Boston

Articles in the same Issue

  1. Frontmatter
  2. Editorial
  3. Strategien der Produktion
  4. Global Production
  5. Managing Global Manufacturing 2025+
  6. Current Topics in International Manufacturing
  7. Strategic Manufacturing Network Performance Assessment Tool
  8. Tactical Order Allocation in International Manufacturing Networks
  9. Centralism or Autonomy?
  10. Company-Specific Plant Roles
  11. Network Capability Configurations as a Catalyst for Competitive Advantage
  12. Integrating Risk into the Analysis
  13. Interview
  14. Wir denken unsere Prozesse neu!
  15. Nachhaltigkeit
  16. Nachhaltige Produktionsoptimierung
  17. Substitution von energieintensiven Primärmaterialien
  18. Geschäftsmodelle
  19. Geschäftsmodellentwicklung für Kreislaufwirtschaft und Nachhaltigkeit
  20. Fehlerprävention
  21. Prädiktion menschlicher Fehler in der Linienmontage
  22. Tribologie
  23. Ressourceneffiziente Prozesse durch modifizierte Werkzeugoberflächen
  24. Energieeffizienz
  25. Vom Verbrauchsmonitoring zur Verbrauchsprognose
  26. Künstliche Intelligenz
  27. Integration eines ChatGPT-gestützten Part Vectorizers in das Trichter-Sieb-Modell
  28. Digitale Zwillinge
  29. Simulationsgestützte Optimierung globaler Produktionsnetzwerke
  30. Digitalisierung
  31. Business Engineering
  32. Die Konvergenz des Building Information Models und des Digitalen Zwillings im Fabriklebenszyklus
  33. Vorschau
  34. Vorschau
https://doi.org/10.1515/zwf-2024-1003
Keywords for this article
Order Allocation; International Manufacturing; Manufacturing Network; Reconfigurable Manufacturing System; Network Management

Articles in the same Issue

  1. Frontmatter
  2. Editorial
  3. Strategien der Produktion
  4. Global Production
  5. Managing Global Manufacturing 2025+
  6. Current Topics in International Manufacturing
  7. Strategic Manufacturing Network Performance Assessment Tool
  8. Tactical Order Allocation in International Manufacturing Networks
  9. Centralism or Autonomy?
  10. Company-Specific Plant Roles
  11. Network Capability Configurations as a Catalyst for Competitive Advantage
  12. Integrating Risk into the Analysis
  13. Interview
  14. Wir denken unsere Prozesse neu!
  15. Nachhaltigkeit
  16. Nachhaltige Produktionsoptimierung
  17. Substitution von energieintensiven Primärmaterialien
  18. Geschäftsmodelle
  19. Geschäftsmodellentwicklung für Kreislaufwirtschaft und Nachhaltigkeit
  20. Fehlerprävention
  21. Prädiktion menschlicher Fehler in der Linienmontage
  22. Tribologie
  23. Ressourceneffiziente Prozesse durch modifizierte Werkzeugoberflächen
  24. Energieeffizienz
  25. Vom Verbrauchsmonitoring zur Verbrauchsprognose
  26. Künstliche Intelligenz
  27. Integration eines ChatGPT-gestützten Part Vectorizers in das Trichter-Sieb-Modell
  28. Digitale Zwillinge
  29. Simulationsgestützte Optimierung globaler Produktionsnetzwerke
  30. Digitalisierung
  31. Business Engineering
  32. Die Konvergenz des Building Information Models und des Digitalen Zwillings im Fabriklebenszyklus
  33. Vorschau
  34. Vorschau
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