A hybrid genetic algorithm-TOPSIS-computer simulation approach for optimum operator assignment in cellular manufacturing systems

Ali Azadeh Department of Industrial Engineering, Center of Excellence for Intelligent Base Experimental Mechanics, University of Tehran, PO Box 11365-4563, Tehran, Iran; Department of Engineering Optimization Research, College of Engineering, University of Tehran, PO Box 11365-4563, Tehran, IranCorrespondence[email protected] [email protected]

Hamrah Kor Department of Industrial Engineering, Center of Excellence for Intelligent Base Experimental Mechanics, University of Tehran, PO Box 11365-4563, Tehran, Iran; Department of Engineering Optimization Research, College of Engineering, University of Tehran, PO Box 11365-4563, Tehran, Iran

Seyed-Morteza Hatefi Department of Industrial Engineering, Center of Excellence for Intelligent Base Experimental Mechanics, University of Tehran, PO Box 11365-4563, Tehran, Iran; Department of Engineering Optimization Research, College of Engineering, University of Tehran, PO Box 11365-4563, Tehran, Iran

A hybrid genetic algorithm-TOPSIS-computer simulation approach for optimum operator assignment in cellular manufacturing systems

Table 1. Simulation results for the case model (decision matrix).

Table 2. Standardized matrix for the six indices.

Table 3. Simulation results for the case model (decision matrix).

Table 4. Entropy-weighted coefficients.

Table 5. The rankings of HGTS versus TOPSIS.

Table 6. Results of DEA and PCA for 36 labor-assignment scenarios.

**Table 7. Non-parametric Spearman (r_s ) correlations analysis.**

Table 8. ANOVA results of HGTS versus other methods.

Table 9. Multiple comparisons between HGTS and other methods.

Table 10. Distinct features of HGTS versus other methods.

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A hybrid genetic algorithm-TOPSIS-computer simulation approach for optimum operator assignment in cellular manufacturing systems

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Table 1. Simulation results for the case model (decision matrix).

Table 2. Standardized matrix for the six indices.

Table 3. Simulation results for the case model (decision matrix).

Table 4. Entropy-weighted coefficients.

Table 5. The rankings of HGTS versus TOPSIS.

Table 6. Results of DEA and PCA for 36 labor-assignment scenarios.

Table 7. Non-parametric Spearman (rs ) correlations analysis.

Table 8. ANOVA results of HGTS versus other methods.

Table 9. Multiple comparisons between HGTS and other methods.

Table 10. Distinct features of HGTS versus other methods.

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**Table 7. Non-parametric Spearman (r_s ) correlations analysis.**