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Dynamics in Logistics pp 513–528Cite as

Adapting Dynamic Logistics Processes and Networks: Advantages Through Regional Logistics Clusters

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Abstract

In order to show how logistics clusters can bring time advantages in adapting dynamic logistics processes and networks to the involved companies, in this paper the approaches of the Porter diamond, in which the national competitive advantages are being deduced and transferred to the regional level, are combined with the bases of the logistics system by Pfohl in one model. It is shown, how the force of assimilation and the increased adaptability of the companies in the cluster lead to a cluster arbitrage over time. The developed model is practically analyzed by the example of the logistics cluster in Bremen.

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Notes

  1. 1.

    Often industrial districts (see Markusen (1996) and Marshall (1920)), industry cluster (see Cortright (2005), p. 8), Innovative Milieus (see Franz (1999), p. 112), hot spots (see Pouder/St. John (1996), p. 1194), sticky places, regional innovation networks and hub-and-spoke-districts (see Markusen (1996), p. 296) are used synonymously.

  2. 2.

    See Porter (1990).

  3. 3.

    See Elbert/Schönberger/Tschischke (2009), pp. 61–67.

  4. 4.

    See Haasis/Elbert (2008), p. 22.

  5. 5.

    Porter (1998), pp. 197–198.

  6. 6.

    See Marshall (1920); Becattini (1990) and Piore/Sabel (1985).

  7. 7.

    See Markusen (1996) and Pauder/St. John (1996).

  8. 8.

    See Porter (2003), pp. 562–571 and Porter (1998), pp. 213–225.

  9. 9.

    See Porter (1998), pp. 213–214.

  10. 10.

    See e.g. Sölvell/Lindqvist/Ketels (2003); Rosenfeld (1997); Porter (1998); Roelandt/den Hertog (1999) and Porter (2003).

  11. 11.

    Porter (1990).

  12. 12.

    See Porter (1990), p. 216.

  13. 13.

    See Elbert/Schönberger/Müller (2008), p. 315.

  14. 14.

    See Elbert/Schönberger/Müller (2008), p. 316.

  15. 15.

    See Pfohl (2004a), pp. 14–20.

  16. 16.

    See Pfohl (2004b), p. 27.

  17. 17.

    E.g. production-managerial, logistics-technological and -institutional as well as demand-oriented conditions for the logistics process.

  18. 18.

    E.g. existing organization, existing manufacturing plants, business size and the company’s policy.

  19. 19.

    See Elbert/Schönberger/Müller (2008), pp. 315–316.

  20. 20.

    See Elbert/Schönberger/Müller (2008), pp. 315–316.

  21. 21.

    See amongst others e.g. Giddens (1984), Rosenfeld (1997).

  22. 22.

    See Rosenfeld (1997), p. 8–10. Rosenfeld argues that the “flow of information, technological advances, innovations, skills, people, and capital into, out of, and within the cluster, from point to point” are for achieving the cluster’s economies equally important as are scale or critical mass. Following this, he defines clusters as “a geographically bounded concentration of interdependent business with active channels for business transactions, dialogue, and communications, […] that collectively shares common opportunities and threats”.

  23. 23.

    See Sydow et al. (2007), p. 5.

  24. 24.

    See Kompetenzzentrum Logistik Bremen (2009): Logistikstandort Bremen, Bremerhaven und die Nordwest-Region: http://www.klb-bremen.de.

  25. 25.

    Cluster also could be described as meso-logistics; see amongst others Haasis (2008); Haasis (2007), pp. 98–107; Haasis/Fischer ((2007)).

  26. 26.

    See Haasis (2008); Haasis/Fischer (2007).

  27. 27.

    See DAV (1992), p. 4.

  28. 28.

    See Scope and objectives of the Kieserling Stiftung, in: http://www.kieserling-stiftung.de.

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Authors and Affiliations

  1. Chair of Logistics Services and Transportation, University of Technology Berlin, Berlin, Germany

    Ralf Elbert

  2. Institute for Shipping Economics and Logistics Bremen (ISL), Bremen, Germany

    Hans-Dietrich Haasis & Thomas Landwehr

  3. Chair of Clusters & Value Chain, University of Technology Darmstadt, Darmstadt, Germany

    Robert Schönberger

Authors
  1. Ralf Elbert
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  2. Hans-Dietrich Haasis
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  3. Robert Schönberger
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  4. Thomas Landwehr
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Corresponding author

Correspondence to Robert Schönberger .

Editor information

Editors and Affiliations

  1. FB Mathematik und Informatik, AG Theoretische Informatik, Universität Bremen, Linzer Str. 9a, Bremen, 28359, Germany

    Hans-Jörg Kreowski

  2. BIBA GmbH, Bremer Institut für Messtechnik, Universität Bremen, Hochschulring 20, Bremen, 28359, Germany

    Bernd Scholz-Reiter

  3. BIBA GmbH, Bremer Institut für Messtechnik, Universität Bremen, Hochschulring 20, Bremen, 28359, Germany

    Klaus-Dieter Thoben

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Elbert, R., Haasis, HD., Schönberger, R., Landwehr, T. (2011). Adapting Dynamic Logistics Processes and Networks: Advantages Through Regional Logistics Clusters. In: Kreowski, HJ., Scholz-Reiter, B., Thoben, KD. (eds) Dynamics in Logistics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11996-5_46

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  • DOI: https://doi.org/10.1007/978-3-642-11996-5_46

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