Skip to main content

Dynamic Models for Simulation and Optimization of Supply Networks

  • Chapter
Strategies and Tactics in Supply Chain Event Management

Abstract

We are interested in supply chain event management (SCEM) which is a part of supply chain management. In our considerations a supply chain consists of suppliers, manufacturers, warehouses and stores. Goods or parts can be produced and distributed among different production facilities and stores. Further, different suppliers provide possibly different raw materials or parts in a preliminary stage of production. We call all arising machines, stores, etc. and their interconnections the supply network. Based on description, we understand as SCEM the cost efficient distribution of parts among different locations and at different times in a supply chain. Additionally, SCEM monitors and measures current business processes and predicts future work loads of machines, buffer level of stores and other application dependent events.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 54.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • Armbruster D, Degond P, Ringhofer C (2006) A Model for the Dynamics of large Queuing Networks and Supply Chains. SIAM J. Applied Mathematics 66:896–920

    Article  Google Scholar 

  • Armbruster D, Degond P, Ringhofer C (2004) Kinetic and fluid Models for supply chains supporting policy attributes. Submitted, Transport Theory and Statistical Physics

    Google Scholar 

  • Baumol WJ (1970) Economic Dynamics. Macmillan, New York

    Google Scholar 

  • Bixby RE, Simchi-Levi D, Martin A, Zimmermann U (2004) Mathematics in the Supply Chain. Oberwolfach Reports 1:963–1036

    Article  Google Scholar 

  • Daganzo CF (2003) A Theory of Supply Chains. Springer, Berlin Heidelberg New York

    Google Scholar 

  • Degond P, Göttlich S, Herty M, Klar A (2007) A network model for supply chains with multiple policies. To appear in SIAM J. Multiscale Modeling

    Google Scholar 

  • Forrester JW (1964) Industrial Dynamics. MIT Press, Massachusetts

    Google Scholar 

  • FĂĽgenschuh A, Göttlich S, Herty M, Klar A, Martin A (2007) A Discrete Optimization Approach to Large Scale Supply Networks based on Partial Differential Equations. Submitted, SIAM J. Scientific Computing

    Google Scholar 

  • FĂĽgenschuh A, Herty M, Klar A, Martin A (2006) Combinatorial and Continuous Models for the Optimization of Traffic Flows on Networks. SIAM J. Optimization, 16:1155–1176

    Article  Google Scholar 

  • Göttlich S, Herty M, Klar A (2005) Network models for supply chains. Communications in Mathematical Sciences 3:545–559

    Google Scholar 

  • Göttlich S, Herty M, Klar A (2006) Modelling and optimization of supply chains on complex networks. Communications in Mathematical Sciences 4:315–330

    Google Scholar 

  • ILOG CPLEX Division, 889 Alder Avenue, Suite 200, Incline Village, NV 89451, USA. Information available at URL http://www.cplex.com

    Google Scholar 

  • Koch T (2004) Rapid Mathematical Programming. PhD Thesis, TU Berlin

    Google Scholar 

  • MATLAB Version 7.0. Information available at-www.mathworks.com

    Google Scholar 

  • Newell GF (1993) A simplified theory of kinematic waves in highway traffic. Transportation Research 27B:281–313

    Google Scholar 

  • VoĂź S, Woodruff DL (2003) Introduction to Computational Optimization Models for Production Planning in a Supply Chain. Springer, Berlin Heidelberg New York

    Google Scholar 

  • Wolsey L, Pochet Y (2006) Production Planning by Mixed Integer Programming. Springer, Berlin Heidelberg New York

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2008 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Göttlich, S., Herty, M. (2008). Dynamic Models for Simulation and Optimization of Supply Networks. In: Ijioui, R., Emmerich, H., Ceyp, M. (eds) Strategies and Tactics in Supply Chain Event Management. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73766-7_17

Download citation

Publish with us

Policies and ethics