Skip to main content

A Hybrid Analytic Hierarchy Process for Clustering and Ranking Best Location for Logistics Distribution Center

  • Conference paper
  • First Online:

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9121))

Abstract

Facility location decisions play a critical role in the strategic design of supply chain networks. This paper discusses facility location problem with focus on logistics distribution center (LDC) in Balkan Peninsula. Methodological hybrid Analytical Hierarchy Process (AHP) and k-means method is proposed here and it is shown how such a model can be of assistance in analyzing a multi criteria decision-making problem. This research represents a continuation of two existing studies: (1) PROMETHEE II ranking method; and (2) combine Greedy heuristic algorithm and AHP. The experimental results in our research could be well compared with other official results of the feasibility study of the LDC located in Balkan Peninsula.

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

Buying options

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

Learn about institutional subscriptions

References

  1. Tomić, V., Memet, A., Milosavljević, M., Milisavljević, S.: Decision on the logistics centers location, case of the Balkan peninsula. Ann. Oradea Univ. Fascicle Manage. Technol. Eng., Issue 2, pp. 330–338 (2013)

    Google Scholar 

  2. Tomić, V., Marinković, D., Marković, D.: Using multi-criteria comparison: case study of the Balkan peninsula. Acta Polytech. Hung. 11(10), 97–113 (2014)

    Google Scholar 

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

    Article  MATH  MathSciNet  Google Scholar 

  4. Kahraman, C., Ruan, D., Dogan, I.: Fuzzy group decision-making for facility location selection. J. Inf. Sci. 157(1), 135–153 (2003)

    Article  MATH  Google Scholar 

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

    Article  Google Scholar 

  6. Chu, T.C.: Selecting plant location via a fuzzy TOPSIS approach. Int. J. Adv. Manuf. Technol. 20(11), 859–864 (2002)

    Article  Google Scholar 

  7. Chou, C.C.: The canonical representation of multiplication operation on triangular fuzzy numbers. Comput. Math Appl. 45(10–11), 1601–1610 (2003)

    Article  MATH  MathSciNet  Google Scholar 

  8. Yang, L., Jones, B.F., Yang, S.H.: A fuzzy multi-objective programming for optimization of fire station locations through genetic algorithms. Eur. J. Oper. Res. 181, 903–915 (2007)

    Article  MATH  Google Scholar 

  9. Deng, H., Yeh, C.H., Willis, R.J.: Inter-company comparison using modified TOPSIS with objective weights. Comput. Oper. Res. 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. Math. Comput. Model. 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. Eur. J. Oper. Res. 107(3), 507–529 (1998)

    Article  MATH  Google Scholar 

  12. Boile, M., Theofanis, S., Wieder, A.: Feasibility of Freight Villages in the NYMTC Region, Center for Advanced Infrastructure and Transport, New Jersey (2008)

    Google Scholar 

  13. Bentzen, K., Laugesen M., Cerneckyte, V.: Transport and Logistics Centres, SUTRANET – Sustainable Transport Research & Development Network in the North Sea Region, Aalborg (2007)

    Google Scholar 

  14. Sharma, M.J., Moon, I., Bea, H.: Analytic hierarchy process to assess and optimize distribution network. Appl. Math. Comput. 202(1), 256–265 (2008)

    Article  MATH  Google Scholar 

  15. Saaty, T.L.: Analytic Hierarchy Process, Planning, Priority Setting, Resource Allocation. McGraw Hill Inc., New York (1980)

    MATH  Google Scholar 

  16. Everitt, B.S., Landau, S., Leese, M., Stahl, D.: Cluster Analysis. Wiley, Hoboken (2011)

    Book  MATH  Google Scholar 

Download references

Acknowledgments

The authors acknowledge the support for research project TR 36030, funded by the Ministry of Science and Technological Development of Serbia.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Dragan Simić .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

Simić, D., Ilin, V., Tanackov, I., Svirčević, V., Simić, S. (2015). A Hybrid Analytic Hierarchy Process for Clustering and Ranking Best Location for Logistics Distribution Center. In: Onieva, E., Santos, I., Osaba, E., Quintián, H., Corchado, E. (eds) Hybrid Artificial Intelligent Systems. HAIS 2015. Lecture Notes in Computer Science(), vol 9121. Springer, Cham. https://doi.org/10.1007/978-3-319-19644-2_40

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-19644-2_40

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-19643-5

  • Online ISBN: 978-3-319-19644-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics