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Optimization of Process Chain Models with Response Surface Methodology and the ProC/B Toolset

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Supply Chain Management und Logistik

Abstract

Large logistics networks often require sophisticated decisions to be made to meet the required service qualities. Often these decisions are made according to a model based analysis and optimization of the network. For this purpose simulation models and appropriate optimization techniques have to be combined. This combination is still a challenge, in particular if the approach should run in a more or less automated way.

In this paper we present the combination of a process chain based simulator and the response surface method for optimization. Particular emphasis is placed onto a realization of the response surface method which runs completely automatically after initialization. The quality of the proposed optimization approach is shown by means of two example models.

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References

  1. Bause F, Beilner H, Fischer M, Kemper P, Völker M (2002) The ProC/B Toolset for the Modelling and Analysis of Process Chains. Proc. 12th Int. Conf. Modelling Tools and Techniques for Computer and Communication System Performance Evaluation, London, UK, LNCS 2324, Springer, pp 51–70

    Google Scholar 

  2. Bause F, Beilner H, Schwenke M (2003) Semantik des ProC/B-Paradigmas. Technical Report 03001, SFB 559 — Teilprojekt M1

    Google Scholar 

  3. Bause F, Buchholz P, Kemper P, (1998) A Toolbox for Functional and Quantitative Analysis of DEDS. Proc. 10th Int. Conf. on Modelling Tools and Techniques for Computer and Communication System Performance Evaluation, Palma de Mallorca, Spain, LNCS 1469, 356–359, Springer. http://ls4-www.cs.uni-dortmund.de/APNN-TOOLBOX/

    Google Scholar 

  4. Beilner H, Mäter J, Weißenberg N (1989) Towards a performance modeling environment: News on HIT. Proc. Int. Conf. Modelling Tools and Techniques for Computer Performance Evaluation

    Google Scholar 

  5. Collaborative Research Center 559 “Modelling of Large Logistic Networks”, http://www.sfb559.uni-dortmund.de/eng/index.htm

    Google Scholar 

  6. Fu MC (2002) Optimization for Simulation: Theory vs. Practice. Informs Journal on Computing 14: 192–215

    MathSciNet  Google Scholar 

  7. Kuhn A, Hellingrath H (2002) Supply Chain Management — Optimierte Zusammenarbeit in der Wertschöpfungskette. Springer, Berlin

    Google Scholar 

  8. Law AM and Kelton WD (2000) Simulation Modeling and Analysis, 3rd edn. McGraw-Hill, Boston

    Google Scholar 

  9. Montgomery DC (2001) Design and Analysis of Experiments, 5th edn. John Wiley & Sons, New York

    Google Scholar 

  10. Montgomery DC, Myers RH (2002) Response Surface Methodology: Process and Product Optimization Using Designed Experiments, 2nd edn. John Wiley & Sons, New York

    Google Scholar 

  11. Neddermeijer HG, van Oortmarssen GJ, Piersma N, Dekker R (2000) A Framework for Response Surface Methodology for Simulation Optimization. Proc. Winter Simulation Conference, Orlando, FL, USA, pp 129–136

    Google Scholar 

  12. Winz G, Quint M (1997) Prozesskettenmanagement: Leitfaden für die Praxis, Verlag Praxiswissen, Dortmund

    Google Scholar 

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© 2005 Physica-Verlag Heidelberg

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Buchholz, P., Müller, D., Thümmler, A. (2005). Optimization of Process Chain Models with Response Surface Methodology and the ProC/B Toolset. In: Günther, HO., Mattfeld, D.C., Suhl, L. (eds) Supply Chain Management und Logistik. Physica-Verlag HD. https://doi.org/10.1007/3-7908-1625-6_26

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