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Design Network Problem and Heuristics

  • U. Ziegler
  • S. Göttlich
Chapter
Part of the Mathematics in Industry book series (MATHINDUSTRY, volume 15)

Summary

A mixed-integer model based on a coupled system of differential equations is presented in order to optimize design and material distribution of production networks. Due to many binary variables arising in this model and in order to guarantee feasible solutions several starting heuristics, which provide incumbents for the branch and cut algorithm, are developed and compared.

Keywords

Feasible Solution Distribution Rate Outgoing Edge Design Network Problem Production Network 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

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    Armbruster, D., Degond, P., Ringhofer, C.: SIAM J. Appl. Math. 66, 896–920 (2006)zbMATHMathSciNetGoogle Scholar
  2. 2.
    Fügenschuh, A., Göttlich, S., Herty, M., Klar, A., Martin, A.: SIAM J. Sci. Comp. 30, 1490–1507 (2008)zbMATHGoogle Scholar
  3. 3.
    Göttlich, S., Dittel, A., Ziegler, U.: preprint (2009)Google Scholar
  4. 4.
    Göttlich, S., Herty, M.: Strategy and Tactics in Supply Chain Event Management, pp. 249–266. Springer, New York (2007)Google Scholar
  5. 5.
    ILOG CPLEX Division, 889 Alder Avenue, Suite 200, Incline Village, NV 89451, USA. URL http://www.cplex.com, accessed in 2008

Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  1. 1.Lu7 Mathematik-Kontinuierliche OptimierunyRWTH AachenAachenGermany
  2. 2.Department of MathematicsTU KaiserslauternKaiserslauternGermany

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