Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
Skip to main content

Supplier Selection Based on Recommendations

  • Conference paper
  • First Online:
Cooperative Design, Visualization, and Engineering (CDVE 2016)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9929))

Abstract

Suppliers’ selection is important for any enterprise. Most available approaches for facilitating processes of choosing suppliers from a number of alternatives focus on which criteria are to be used according to a particular business. This implies that the role of a decision maker is to confirm or modify the outcome of an already chosen method. In this work we present a way of incorporate decision maker’s opinion along with previous customers experience in the process of suppliers selection.

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

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

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 EPUB and 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

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Aggarwal, M.: Compensative weighted averaging aggregation operators. Appl. Soft Comput. 28, 368–378 (2015)

    Article  Google Scholar 

  2. Aggarwal, M.: Generalized compensative weighted averaging aggregation operators. Comput. Ind. Eng. 87, 81–90 (2015)

    Article  Google Scholar 

  3. Kridlo, O., Ojeda-Aciego, M.: CRL-Chu correspondences. CLA 2013, 105–116 (2013)

    MATH  Google Scholar 

  4. Kumar, M., Vrat, P., Shankar, R.: A fuzzy programming approach for vendor selection problem in a supply chain. Int. J. Prod. Econ. 101, 273–285 (2006)

    Article  Google Scholar 

  5. Llamazares, B.: Constructing Choquet integral-based operators that generalize weighted means and OWA operators. Inf. Fusion 23, 131–138 (2015)

    Article  Google Scholar 

  6. García-Pardo, F., Cabrera, I.P., Cordero, P., Ojeda-Aciego, M., Rodríguez, F.J.: Generating isotone galois connections on an unstructured codomain. In: Laurent, A., Strauss, O., Bouchon-Meunier, B., Yager, R.R. (eds.) IPMU 2014, Part III. CCIS, vol. 444, pp. 91–99. Springer, Heidelberg (2014)

    Google Scholar 

  7. Yager, R.R.: Using trapezoids for representing granular objects: applications to learning and OWA aggregation. Inf. Sci. 178(2), 363–380 (2008)

    Article  MathSciNet  MATH  Google Scholar 

  8. Yang, J.L., Chiu, H.N., Tzeng, G.-H., Yeh, R.H.: Vendor selection by integrated fuzzy MC decision maker techniques with independent and interdependent relationships. Inf. Sci. 178, 4166–4183 (2008)

    Article  MATH  Google Scholar 

  9. Wadhwa, V., Ravindran, A.R.: Vendor selection in outsourcing. Comput. Oper. Res. 34, 3725–3737 (2007)

    Article  MATH  Google Scholar 

  10. Weber, C.A., Current, J.R.: A multi objective approach to vendor selection. Eur. J. Oper. Res. 68, 173–184 (1993)

    Article  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Sylvia Encheva .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing AG

About this paper

Cite this paper

Encheva, S. (2016). Supplier Selection Based on Recommendations. In: Luo, Y. (eds) Cooperative Design, Visualization, and Engineering. CDVE 2016. Lecture Notes in Computer Science(), vol 9929. Springer, Cham. https://doi.org/10.1007/978-3-319-46771-9_11

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-46771-9_11

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-46770-2

  • Online ISBN: 978-3-319-46771-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics