Article: An innovative hybrid fuzzy TOPSIS based on design of experiments for multi-criteria supplier evaluation and selection Journal: International Journal of Operational Research (IJOR) 2022 Vol.44 No.2 pp.171 - 209 Abstract: In this article, nine essential criteria are considered to select the best supplier in supply chain risk management. For this purpose, to address the unspecified criteria and the analysis of the results, a mixed approach of fuzzy TOPSIS and design of experiments (DOE) were presented, and a 2k factorial design was used for factor analysis at both low and high levels. Combining the fuzzy TOPSIS and DOE gives the decision-makers more freedom to select because it can analyse the effects of different factors on the response variable by sensitivity analysis and according to different weights. The results of the analysis of variance (ANOVA) were calculated for each response variable. The obtained R2 value shows that the model works well with the elimination of effects. A comparison was made to evaluate the effectiveness of the proposed method. Besides, to rank the factors based on each response variable, the Pareto chart was used that was very impressive, and the ineffective factors were eliminated. Finally, the ranking results for each decision-maker were compared with Shannon entropy weight modification method and decision-makers. Inderscience Publishers - linking academia, business and industry through research

Title: An innovative hybrid fuzzy TOPSIS based on design of experiments for multi-criteria supplier evaluation and selection

Authors: Mohammad Reza Marjani; Mohammad Habibi; Arash Pazhouhandeh

Addresses: Industrial Engineering Department, Qom University of Technology, Qom, Iran ' Industrial Engineering Department, Qom University of Technology, Qom, Iran ' Industrial Engineering Department, Qom University of Technology, Qom, Iran

Abstract: In this article, nine essential criteria are considered to select the best supplier in supply chain risk management. For this purpose, to address the unspecified criteria and the analysis of the results, a mixed approach of fuzzy TOPSIS and design of experiments (DOE) were presented, and a 2^k factorial design was used for factor analysis at both low and high levels. Combining the fuzzy TOPSIS and DOE gives the decision-makers more freedom to select because it can analyse the effects of different factors on the response variable by sensitivity analysis and according to different weights. The results of the analysis of variance (ANOVA) were calculated for each response variable. The obtained R² value shows that the model works well with the elimination of effects. A comparison was made to evaluate the effectiveness of the proposed method. Besides, to rank the factors based on each response variable, the Pareto chart was used that was very impressive, and the ineffective factors were eliminated. Finally, the ranking results for each decision-maker were compared with Shannon entropy weight modification method and decision-makers.

Keywords: supplier selection; supply chain risk management; fuzzy TOPSIS; design of experiments; DOE; 2^k factorial design; Pareto chart; Shannon entropy; analysis of variance; ANOVA; Grey TOPSIS.

DOI: 10.1504/IJOR.2022.123397

International Journal of Operational Research, 2022 Vol.44 No.2, pp.171 - 209

Received: 24 Apr 2019
Accepted: 25 Jul 2019
Published online: 20 Jun 2022 *

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Title: An innovative hybrid fuzzy TOPSIS based on design of experiments for multi-criteria supplier evaluation and selection

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