Skip to main content
SpringerLink
Log in

Research on Product Recovery Forecast in Remanufacturing Based on Weighted Markov Chain

  • Conference paper
  • First Online:
Informatics and Management Science I

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 204))

  • 925 Accesses

Abstract

In order to determine the number of recycled products and solve the uncertain problem in product recovery. This paper used Weighted Markov Chain to establish a forecasting model, set up a classification standard of Markov Chain by using mean–variance method and established the state transition probability matrix through sorting the data, at last predicted the number of recycled steel by regarding the standardized autocorrelation coefficients as weights. The results show that the model is accurate and has a good application.

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

  1. Liu B, Binshi X, Shi P, Liu B (2011) Research on remanufacturing reverse logistics networks key facilities. J New Technol Process 7:69–71

    Google Scholar 

  2. Wang X, Liang G (2009) Analysis of reclaiming models of used products based on remanufacturing reverse logistics. J Mod Manuf Eng 4:9–11

    Google Scholar 

  3. Liu S, Jin Q, Wang P (2006) Analyzing recovery options of end-of-life products. J China Surf Eng 19(5):112–114

    Google Scholar 

  4. Lin L (2006) Preliminary inquiry on standard of waste products recovery in our country. J China Stand 2(5):50–51

    Google Scholar 

  5. Jiang X, Chen S (2009) Application of weighted markov scgm(1,1) model to predict drought crop area. J Syst Eng-Theory Prac 29(5):179–185

    Article  Google Scholar 

  6. Ma L, Wei G, Shen L (2008) Application of weighted markov chain method in annual runoff prediction of Akesu River of xinjiang. J Water Saving Irrig 10:44–47

    Google Scholar 

  7. Available from: www.infobase.gov.cn/bin/mse.exe?seachword=%u56DE%u6536%u7E

Download references

Author information

Authors and Affiliations

  1. Institute of Mechanical and Electrical Engineering, XI’AN Technological University, Xi’an, China

    Zhanfeng Zhou

Authors
  1. Zhanfeng Zhou
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Zhanfeng Zhou .

Editor information

Editors and Affiliations

  1. , College of Elementary Education, Chongqing Normal University, Chongqing, 400700, China, People's Republic

    Wenjiang Du

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag London

About this paper

Cite this paper

Zhou, Z. (2013). Research on Product Recovery Forecast in Remanufacturing Based on Weighted Markov Chain. In: Du, W. (eds) Informatics and Management Science I. Lecture Notes in Electrical Engineering, vol 204. Springer, London. https://doi.org/10.1007/978-1-4471-4802-9_9

Download citation

  • DOI: https://doi.org/10.1007/978-1-4471-4802-9_9

  • Published:

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-4801-2

  • Online ISBN: 978-1-4471-4802-9

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation