Plant location selection based on fuzzy TOPSIS

Abstract

The selection of plant location plays a very important role in minimizing cost and maximizing the use of resources for many companies. In this paper, a new TOPSIS approach for selecting plant location under linguistic environments is presented, where the ratings of various alternative locations under various criteria, and the weights of various criteria are assessed in linguistic terms represented by fuzzy numbers. To avoid complicated fuzzy arithmetic operations, the linguistic variables, which are represented by triangular fuzzy numbers, are transformed into crisp numbers based on graded mean representation. The canonical representation of multiplication operations on triangular fuzzy numbers is used to obtain the “positive ideal solution” and the “negative ideal solution”. The closeness efficient is defined to determine the ranking order of all alternatives by calculating the distance to both the “positive-ideal solution” and the “negative-ideal solution” simultaneously. Compared with existing fuzzy TOPSIS methods, the proposed method can deal with group decision-making problems in a more efficient manner. A numerical example of plant location selection is used to illustrate the efficiency of the proposed method.

This is a preview of subscription content, access via your institution.

References

  1. 1.

    Liang GS, Wang MJJ (1991) A fuzzy multi-criteria decision-making method for facility site selection. Int J Prod Res 29:2313–2330

    MATH  Google Scholar 

  2. 2.

    Hwang CL, Yoon K (1981) Multiple attribute decision making: methods and applications. Springer, Berlin Heidelberg New York

    Google Scholar 

  3. 3.

    Yoon K, Hwang CL (1985) Manufacturing plant location analysis by multiple attribute decision making: single-plant strategy. Int J Prod Res 23:345–359

    MATH  Google Scholar 

  4. 4.

    Chen CT (2001) A fuzzy approach to select location of the distribution center. Fuzzy Sets Syst 118:65–73

    Article  Google Scholar 

  5. 5.

    Chu TC (2002) Selecting plant location via a fuzzy TOPSIS approach. Int J Adv Manuf Technol 20:859–864

    Article  Google Scholar 

  6. 6.

    Chu TC (2002) Facility location selecting using fuzzy TOPSIS under group decision. Int J Uncertainty Fuzziness Knowl-Based Syst 10:687–701

    Google Scholar 

  7. 7.

    Chou CC (2003) The canonical representation of multiplication operation on triangular fuzzy numbers. Comput Math Appl Int J 45:1601–1610

    Article  MATH  Google Scholar 

  8. 8.

    Kauffman A, Gupta MM (1985) Introduction of fuzzy arithmetic: Theory and applications. Van Nostrand, New York

    Google Scholar 

  9. 9.

    Zimmermann HJ (1991) Fuzzy set theory and its applications. Kluwer, Boston

  10. 10.

    Liang GS, Wang MJJ (1993) A fuzzy multi-criteria decision-making method for robot selection. Robot Integr Manuf 10:267–274

    Article  Google Scholar 

  11. 11.

    Hsu HM, Chen CT (1997) Fuzzy credibility relation method for multiple criteria decision making. Inf Sci 96:79–91

    Article  MATH  Google Scholar 

  12. 12.

    Chen CT (2000) Extension of the TOPSIS for group decision-making under fuzzy environment. Fuzzy Sets Syst 114:1–9

    Article  MATH  Google Scholar 

  13. 13.

    Chu TC, Lin YC (2003) A fuzzy TOPSIS method for robot selection. Int J Adv Manuf Technol 21:284–290

    Article  Google Scholar 

  14. 14.

    Chen CT (2001) Applying linguistic decision-making method to deal with service quality evaluation problems. Int J Uncertainty Fuzziness Knowl-Based Syst 9:103–114

    Google Scholar 

Download references

Author information

Affiliations

Authors

Corresponding author

Correspondence to Deng Yong.

Rights and permissions

Reprints and Permissions

About this article

Cite this article

Yong, D. Plant location selection based on fuzzy TOPSIS. Int J Adv Manuf Technol 28, 839–844 (2006). https://doi.org/10.1007/s00170-004-2436-5

Download citation

Keywords

  • Decision-making
  • Plant location selection
  • TOPSIS
  • Triangular fuzzy number