Skip to main content
SpringerLink
Log in

A Hybrid Fuzzy Approach to Facility Location Decision-Making

  • Conference paper
Hybrid Artificial Intelligent Systems (HAIS 2013)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8073))

Included in the following conference series:

  • 2474 Accesses

Abstract

Facility location decisions play a critical role in the strategic design of supply chain networks. Selection of facility locations among alternative locations is a decision problem which includes quantitative and qualitative criteria simultaneously. This paper discusses facility location problem with focus on logistics distribution center in Novi Sad area, Serbia, micro-location selection. Methodological fuzzy TOPSIS ranking method is proposed and examined and it is shown how such a model can be of assistance in analyzing a multi criteria decision-making problem when the information available is vague and subjective. The experimental results could be compared with other official results of the feasibility study of the distribution center (DC) located in Novi Sad area. Compared to the official study, which does not show a methodological basis, this research gets the results similar to the empirical results in an entirely exact way.

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 39.99
Price excludes VAT (USA)
  • Available as 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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Bhattacharya, B.K., Sen, S.: On a simple, practical, optimal, output-sensitive randomized planar convex hull algorithm. Journal of Algorithms 25(1), 177–193 (1997)

    Article  MathSciNet  MATH  Google Scholar 

  2. Kahraman, C., Ruan, D., Dogan, I.: Fuzzy group decision-making for facility location selection. Journal Information Sciences 157(1), 135–153 (2003)

    Article  MATH  Google Scholar 

  3. Ertugrul, I., Karakasoglu, N.: Performance evaluation of Turkish cement firms with fuzzy analytic hierarchy process and TOPSIS methods. Expert Systems with Applications 36(1), 702–715 (2009)

    Article  Google Scholar 

  4. Chu, T.C.: Selecting Plant Location via a Fuzzy TOPSIS Approach. International Journal of Advanced Manufacturing Technology 20(11), 859–864 (2002)

    Article  Google Scholar 

  5. Yong, D.: Plant location selection based on fuzzy TOPSIS. International Journal of Advanced Manufacturing Technology 28(7-8), 839–844 (2006)

    Article  Google Scholar 

  6. Chou, C.C.: The canonical representation of multiplication operation on triangular fuzzy numbers. Computers & Mathematics with Applications 45(10-11), 1601–1610 (2003)

    Article  MathSciNet  MATH  Google Scholar 

  7. Yang, L., Jones, B.F., Yang, S.H.: A fuzzy multi-objective programming for optimization of fire station locations through genetic algorithms. European Journal of Operational Research 181, 903–915 (2007)

    Article  MATH  Google Scholar 

  8. Tzeng, G.H., Huang, J.J.: Multiple Attribute Decision Making: Methods and Applications. Chapman and Hall/CRC (2011)

    Google Scholar 

  9. Deng, H., Yeh, C.H., Willis, R.J.: Inter-company comparison using modified TOPSIS with objective weights. Computers & Operations Research 27(10), 963–973 (2000)

    Article  MATH  Google Scholar 

  10. Shih, H.S., Shyur, H.J., Lee, E.S.: An extension of TOPSIS for group decision making. Mathematical and Computer Modelling 45(7-8), 801–813 (2007)

    Article  MATH  Google Scholar 

  11. Zanakis, S.H., Solomon, A., Wishart, N., Dublish, S.: Multi-attribute decision making: A simulation comparison of select methods. European Journal of Operational Research 107(3), 507–529 (1998)

    Article  MATH  Google Scholar 

  12. Sun, C.C., Lin, G.T.R.: Using fuzzy TOPSIS method for evaluating the competitive advantages of shopping websites. Expert Systems with Applications 36(9), 11764–11771 (2009)

    Article  Google Scholar 

  13. Kahraman, C., Engin, O., Kabak, Ö., Kaya, Ï.: Information systems outsourcing decisions using a group decision-making approach. Engineering Applications of Artificial Intelligence 22(6), 832–841 (2009)

    Article  Google Scholar 

  14. PU ”Urban Planning”– Institute of urban planning Novi Sad, A study on the conditions and justification of construction of the freight transport center in Novi Sad)”, (JP ”Urbanizam - Zavod za Urbanizam Novi Sad”: ”Studija o uslovima i opravdanosti izgradnje robno transportnog centra u Novom Sadu”) (Serbian), Novi Sad (2004)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Faculty of Technical Sciences, University of Novi Sad, Trg Dositeja Obradovića 6, 21000, Novi Sad, Serbia

    Dragan Simić

  2. Lames Ltd., Jarački put bb., 22000, Sremska Mitrovica, Serbia

    Vasa Svirčević

  3. Faculty of Medicine, University of Novi Sad, Hajduk Veljkova 1–9, 21000, Novi Sad, Serbia

    Svetlana Simić

Authors
  1. Dragan Simić
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Vasa Svirčević
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Svetlana Simić
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Department of Electronic Engineering, National Kaohsiung University of Applied Sciences, No. 415, Chien Kung Road, 80778, Kaohsiung, Taiwan

    Jeng-Shyang Pan

  2. Department of Electrical and Computer Engineering, University of Cyprus, 75 Kallipoleos Avenue, 1678, Nicosia, Cyprus

    Marios M. Polycarpou

  3. Department of Systems and Computer Networks, Wroclaw University of Technology, Wybrzeze Wyspianskiego 27, 50-370, Wroclaw, Poland

    Michał Woźniak

  4. Department of Computer Science, University of Sao Paulo at Sao Carlos, Sao Carlos, SP, Brazil

    André C. P. L. F. de Carvalho

  5. University of Salamanca, Plaza de la Merced S/N, 37008, Salamanca, Spain

    Héctor Quintián  & Emilio Corchado  & 

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Simić, D., Svirčević, V., Simić, S. (2013). A Hybrid Fuzzy Approach to Facility Location Decision-Making. In: Pan, JS., Polycarpou, M.M., Woźniak, M., de Carvalho, A.C.P.L.F., Quintián, H., Corchado, E. (eds) Hybrid Artificial Intelligent Systems. HAIS 2013. Lecture Notes in Computer Science(), vol 8073. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40846-5_7

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-40846-5_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-40845-8

  • Online ISBN: 978-3-642-40846-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation