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A review on industrial applications of TOPSIS approach

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  • Santosh Kumar Yadav
  • Dennis Joseph
  • Nasina Jigeesh

Abstract

Technique for order preference by similarity to an ideal solution (TOPSIS) is a multi-attribute decision making technique, used to evaluate alternatives and find an ideal solution. Practically, it has been successfully applied to identify the best alternative for decision making process from a finite set of alternatives in different industries. It can be used for evaluation of the performance of different entities like suppliers/processes/designs/locations/ standards and many others. In view of the significance of TOPSIS in several industries to prioritise the alternatives, this paper is intended to highlight various important industrial applications with the help of detailed review of literature. The application areas covered include automobile, mobile, information technology, manufacturing, biological and behavioural. A hypothetical example with six alternatives and five criteria is presented to detail the step-wise derivation of solution by TOPSIS method.

Suggested Citation

  • Santosh Kumar Yadav & Dennis Joseph & Nasina Jigeesh, 2018. "A review on industrial applications of TOPSIS approach," International Journal of Services and Operations Management, Inderscience Enterprises Ltd, vol. 30(1), pages 23-28.
    • Handle: RePEc:ids:ijsoma:v:30:y:2018:i:1:p:23-28
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    Citations

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    Cited by:

    1. Alok K. Pandey & R. Krishankumar & Dragan Pamucar & Fausto Cavallaro & Abbas Mardani & Samarjit Kar & K. S. Ravichandran, 2021. "A Bibliometric Review on Decision Approaches for Clean Energy Systems under Uncertainty," Energies, MDPI, vol. 14(20), pages 1-27, October.
    2. Eduardo Guzman & Beatriz Andres & Raul Poler, 2022. "A Decision-Making Tool for Algorithm Selection Based on a Fuzzy TOPSIS Approach to Solve Replenishment, Production and Distribution Planning Problems," Mathematics, MDPI, vol. 10(9), pages 1-28, May.
    3. Fatih Boyar, 2024. "TOPSIS Method Approach in Ranking Coffee Bean Quality," Istanbul Journal of Economics-Istanbul Iktisat Dergisi, Istanbul Journal of Economics-Istanbul Iktisat Dergisi, vol. 0(40), pages 46-62, June.
    4. Wójcik-Leń, Justyna & Leń, Przemysław & Mika, Monika & Kryszk, Hubert & Kotlarz, Paweł, 2019. "Studies regarding correct selection of statistical methods for the needs of increasing the efficiency of identification of land for consolidation—A case study in Poland," Land Use Policy, Elsevier, vol. 87(C).
    5. Xia Xu & Jing Yuan & Qianwen Yu & Zehao Sun, 2023. "A Study of Initial Water Rights Allocation Coupled with Physical and Virtual Water Resources," Sustainability, MDPI, vol. 15(17), pages 1-28, August.

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