Skip to main content
SpringerLink
Log in
SpringerLink
Log in

Optimal Control Strategies for Incoming Inspection

  • Conference paper
Operations Research Proceedings 2007

Part of the book series: Operations Research Proceedings ((ORP,volume 2007))

Abstract

Acceptance sampling is one important part of logistic processes and production. Because of that, we developed a new model, named DMGI (Dynamic Mixed Goods Inspection) which uses past inspections in order to support companies deciding which delivery should be inspected in goods income.

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 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight 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

  1. Y. Collette, P. Siarry. Multiobjective Optimization: Principles and Case Studies. Springer-Verlag. New York. 2003.

    Google Scholar 

  2. M. S. Daskin. Network and Discrete Location. Models. Algorithms and Applications. John Wiley & Sons. New York. 1995.

    Google Scholar 

  3. O. Kariv, S. L. Hakimi. An Algorithm Approach to Network Location Problems. II: The p-Medians. SIAM Journal on Applied Mathematics 37(3). 539–560. 1979.

    Article  Google Scholar 

  4. M. R. Garey, D. S. Johnson. Computers and Intractability: A Guide to the Theory of NP-Completeness. Freeman. New York. 1979.

    Google Scholar 

  5. R. Hassin, A. Tamir. Improved complexity bounds for location problems on the real line. Operations Research Letters. 10:395–402. 1991.

    Article  Google Scholar 

  6. J. M. Mulvey, R. J. Vanderbei, S. A. Zentios. Robust Optimization of large-scale systems. Operations Research 43. 264–281. 1995.

    Article  Google Scholar 

  7. L. Kaufman, P. J. Rousseeuw. Finding Groups in Data. An Introduction to Cluster Analysis. Wiley Series in Probability and Statistics. John Wiley & Sons. 2005.

    Google Scholar 

  8. H.P. Ziegler. Statistische Methoden zur Qualitätskontrolle im Wareneingang bei Handelsunternehmen. 2006.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Lehrstuhl für Operations Research und Logistik, Universität des Saarlandes, Campus A5 3, Germany

    Stefan Nickel, Sebastian Velten & Hans-Peter Ziegler

Authors
  1. Stefan Nickel
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Sebastian Velten
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Hans-Peter Ziegler
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Faculty of Law and Economics, Chair of Operations Research and Logistics, Saarland University, P.O. Box 15 11 50, 66041, Saarbrücken, Germany

    Jörg Kalcsics  & Stefan Nickel  & 

Rights and permissions

Reprints and permissions

Copyright information

© 2008 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Nickel, S., Velten, S., Ziegler, HP. (2008). Optimal Control Strategies for Incoming Inspection. In: Kalcsics, J., Nickel, S. (eds) Operations Research Proceedings 2007. Operations Research Proceedings, vol 2007. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77903-2_7

Download citation

Publish with us

Policies and ethics

Search

Navigation