Skip to main content
SpringerLink
Log in

Data Defects in Material Flow Networks

  • Chapter
  • First Online:
Information Technologies in Environmental Engineering

Part of the book series: Environmental Science and Engineering ((ENVENG,volume 3))

Abstract

Eco-balance is the basis for the assessing production impact on the environment. Eco-balancing is divided into four phases: goal and scope definition, inventory analysis, impact assessment, interpretation. However, during the creation and evaluation of material flow networks some defects appear which inhibit or make it more difficult to establish realistic statements towards the environmental impact. In order to make a reliable statement about the environmental impact with the help of eco-balance it is necessary to consider all material and energy flows. This chapter gives an overview of the classification of defects in material flow networks. After the classification of data defects the causes of these defects are discussed. In order to resolve the causes of defects some solutions will be presented using the advantages of Petri nets and the application of Fuzzy sets and Rough sets to the Petri nets.

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 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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Marx Gómez, J., Prötysch, S., Rautenstrauch, C.: Data Defects in Material Flow Networks-Classification and Approach; cybernetics and Systems: An international Journal (CBS), pp. 549-558. Vol. 35, No 5-6, July – September 2004

    Google Scholar 

  2. Arco, L., Bonte, I., Marx Gómez, J., Rautenstrauch, C.: A new Approach to Solve Data Defects in Material Flow Networks. In: 19th EnviroInfo International Symposiurn on Environmental Informatics, Brno, Czech Republic (2005)

    Google Scholar 

  3. Marx-Gómez, J., 2004, Automatisierung der Umweltberichterstattung mit Stoffstrom-managementsystemen, Habilitationsschrift Universität Magdeburg

    Google Scholar 

  4. Papula, L., Mathematik für Ingenieure und Naturwissenschaftler, Band 3, 2nd ed. Vieweg, Braunschweig/Wiesbaden. (1997)

    Google Scholar 

  5. Seuring, S. MANAGEMENT WISSEN - Stoffstrommanagement und Supply Chain Management. In: Umwelt Vol. 30, 6, pp. 30-31. (2000)

    Google Scholar 

  6. Kunze, M., Rösner, D. Eine xml-basierte Werkbank für das Document Mining. In: Lobin, H. (Hrsg.) (2001): Proceedings der GLDV-Frühjahrstagung 2001, Universität Gießen, pp. 131-140

    Google Scholar 

  7. Allam, N., Development of methods for reducing the defect in Material Flow Networks Master thesis October 2005

    Google Scholar 

  8. W, Yu, X. Li, Some New Results on System Identification with Dynamic Neural Networks, IEEE Trans. Neural Networks, Vol.12, No.2, 412-417, 2001

    Article  CAS  Google Scholar 

  9. Wen Yu and Xiaoou Li, Some Stability Properties of Dynamic Neural Networks, IEEE Trans: Circuits and Systems, Part I, Vol. 48, No. 1, 256-259, 2001

    Google Scholar 

  10. Barakat, N., Detecting Data Defects in material flow networks based on a Fuzzy rough set (Fuzzy set, rough set), Proceedings of the International Society for Ecological Economics (ISEE) : 11th Biennial Conference: Advancing Sustainability in a Time of Crisis, Oldenburg and Bremen, Germany, August (2010).

    Google Scholar 

  11. Pehlken, A., Gómez, J., Barakat, N.; Modelling solid waste recycling processes under the consideration of data defects; International Symposium on Information Technologies in Environmental Engineering ITEE 2011, Poznan, Poland, July 2011

    Google Scholar 

  12. Brauer,W., Royenberg, G., Salomaa, A. Reisig W; Petri Nets - An Introduction, Springer Verlag, Berlin Heidelberg (1985)

    Google Scholar 

  13. Reisig, W.; Petrinetze Modellierungstechnik, Analysemethoden, Fallstudien(2010)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Carl von Ossietzky University, Oldenburg, Germany

    Nashida Barakat

  2. University of Bremen, Bremen, Germany

    Alexandra Pehlken

Authors
  1. Nashida Barakat
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Alexandra Pehlken
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Nashida Barakat .

Editor information

Editors and Affiliations

  1. Poznan University of Technology, Strzelecka 11, Poznan, 60-965, Poland

    Paulina Golinska

  2. Poznan University of Technology, Strzelecka 11, Poznan, 60-965, Poland

    Marek Fertsch

  3. , Dept. für Informatik, Universität Oldenburg, Ammerländer Heerstr. 114-118, Oldenburg, 26129, Germany

    Jorge Marx-Gómez

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Barakat, N., Pehlken, A. (2011). Data Defects in Material Flow Networks. In: Golinska, P., Fertsch, M., Marx-Gómez, J. (eds) Information Technologies in Environmental Engineering. Environmental Science and Engineering(), vol 3. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19536-5_7

Download citation

Publish with us

Policies and ethics

Search

Navigation