Skip to main content
SpringerLink
Log in

Conflicting Optimization Goals in Manufacturing Networks: A Statistical Analysis Based on an Idealized Discrete-Event Model

  • Conference paper
  • First Online:
Dynamics in Logistics

Part of the book series: Lecture Notes in Logistics ((LNLO))

Abstract

Performance optimization is a crucial issue in present-day manufacturing systems. Here, we reconsider the problem of conflicting optimization goals, with a focus on low inventory levels and short throughput times. Based on an idealized discrete-event model of a complex small-scale manufacturing network, the impact of different production strategies as well as order policies on both quantities is carefully examined and systematically compared. Qualitative similarities of different scenarios regarding inventory levels and throughput times are investigated in detail by means of cluster analysis. Our results provide new insights into the influence of different key parameters on the complex material flow dynamics in manufacturing networks, and their reflection in different optimization goals.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
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

References

  • Boccaletti S, Latora V, Moreno Y et al (2006) Complex networks: structure and dynamics. Phys Rep 424:175–308. doi:10.1016/j.physrep.2005.10.009

    Article  MathSciNet  Google Scholar 

  • Daganzo C (2005) A theory of supply chains. Springer, Berlin

    Google Scholar 

  • Donner R, Scholz-Reiter B, Hinrichs U (2008a) Nonlinear characterization of the performance of production and logistics networks. J Manufact Syst 27:84–99. doi:10.1016/j.jmsy.2008.10.001

    Article  Google Scholar 

  • Donner R, Hinrichs U, Scholz-Reiter B (2008b) Symbolic recurrence plots: a new quantitative framework for performance analysis of manufacturing networks. Eur Phys J ST 164:85–104. doi:10.1140/epjst/e2008-00836-2

    Article  Google Scholar 

  • Donner R, Hinrichs U, Scholz-Reiter B (2008c) Mechanisms of instability in small-scale manufacturing networks. In: Haasis HD, Kreowski HJ, Scholz-Reiter B (eds) Dynamics in logistics—first international conference, LDIC 2007—Bremen, Germany, August 2007—Proceedings, Springer, Berlin, pp 161–168 doi:10.1007/978-3-540-76862-3_15

  • Donner R, Hinrichs U, Schicht C, Scholz-Reiter B (2011) Complexity-based evaluation of production strategies using discrete-event simulation. In: Kreowski HJ, Scholz-Reiter B, Thoben KD (eds) Dynamics in Logistics—second international conference, LDIC 2009—Bremen, Germany, August 2009—Proceedings, Springer, Berlin, pp 423–432 doi:10.1007/978-3-642-11996-5_38

  • Gross T, Blasius B (2008) Adaptive co-evolutionary networks: a review. J R Soc Interface 5:259–271. doi:10.1098/rsif.2007.1229

    Article  Google Scholar 

  • Gross T, Sayama H (eds) (2009) Adaptive networks: theory, models and applications. Springer, Heidelberg

    Google Scholar 

  • Hamming RW (1950) Error detecting and error correcting codes. Bell Syst Techn J 29:147–160

    MathSciNet  Google Scholar 

  • Hülsmann M, Windt K (eds) (2010) Understanding autonomous cooperation and control in logistics. Springer, Berlin

    Google Scholar 

  • Hülsmann M, Scholz-Reiter B, Windt K (eds) (2011) Autonomous cooperation and control in logistics. Springer, Berlin

    Google Scholar 

  • Kuzgunkaya O, ElMaraghy HA (2006) Assessing the structural complexity of manufacturing systems configurations. Int J Flex Manuf Syst 18:145–171. doi:10.1007/s10696-006-9012-2

    Article  MATH  Google Scholar 

  • Nyhuis P, Wiendahl HP (1999) Logistische kennlinien. Springer, Berlin

    Google Scholar 

  • Pathak SD, Day JM, Nair A et al (2007) Complexity and adaptivity in supply networks: building supply network theory using a complex adaptive systems perspective. Decis Sci 38:547–580. doi:10.1111/j.1540-5915.2007.00170.x

    Article  Google Scholar 

  • Windt K (2002) Optimierung von Lager- und Distributionsstrukturen in Logistiknetzen am Beispiel eines weltweit agierenden Maschinenbauers. In: Tagungsband zum Wissenschaftssymposium Logistik der BVL, Huss-Verlag, Munich, pp 235–251

    Google Scholar 

Download references

Acknowledgments

This work has been partially supported by the Leibniz association (project ECONS—Evolving Complex Networks). Simulation data used in this study have been kindly provided by the BIBA—Bremer Institut für Produktion und Logistik GmbH at the University of Bremen. Corresponding discussions with Uwe Hinrichs are gratefully acknowledged.

Author information

Authors and Affiliations

  1. Research Domain IV—Transdisciplinary Concepts and Methods, Potsdam Institute for Climate Impact Research, Telegrafenberg A31, 14473, Potsdam, Germany

    Reik V. Donner

  2. Institute for Transport and Economics, Dresden University of Technology, Würzburger Str. 35, 01187, Dresden, Germany

    Reik V. Donner & Jörg Hanke

Authors
  1. Reik V. Donner
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Jörg Hanke
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Reik V. Donner .

Editor information

Editors and Affiliations

  1. , Department of Computer Science, University of Bremen, Linzer Straße 9a, Bremen, 28359, Germany

    Hans-Jörg Kreowski

  2. Rector of the University of Bremen, Hochschulring 20, Bremen, 28359, Germany

    Bernd Scholz-Reiter

  3. Logistik (BIBA), Planung und Steuerung, Bremer Institut für Produktion und, Hochschulring 20, Bremen, 28359, Germany

    Klaus-Dieter Thoben

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Donner, R.V., Hanke, J. (2013). Conflicting Optimization Goals in Manufacturing Networks: A Statistical Analysis Based on an Idealized Discrete-Event Model. In: Kreowski, HJ., Scholz-Reiter, B., Thoben, KD. (eds) Dynamics in Logistics. Lecture Notes in Logistics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35966-8_12

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-35966-8_12

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-35965-1

  • Online ISBN: 978-3-642-35966-8

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation