SWOT ANALYSIS
for
Skimming the Best Quality
Strategy
By
Dr. Bikram Jit Singh
(MMDU Mullana)
&
H.S. Sodhi
STRENGTHS
JIT LEAN LSS Six Sigma TQM Others
2.1 4.1 4.1 4.1 1.6 1.9
2.5 3.3 4.3 4.9 1.4 2.9
2.2 2.9 4.4 3.6 1.7 2.9
2.6 3 4 4 1.9 2.4
2.5 3.8 4.2 2.6 1.3 3.8
2.6 3.5 4 3.2 2.2 3.5
3 3.2 4.3 3.9 1.9 1.7
2.3 3.4 4.4 3.4 1.5 2.4
2.8 3.3 4.3 3.8 1.3 2.8
2.5 3.5 4.2 3.9 1.8
2.2 3.5 4.7 4.2 2
2.7 3.6 3.9 4.7 1.8
2.7 2.8 4 3.5 1.4
2.4 3 4.1 4.4 1.8
2.6 2 4.2 4.6 1.8
3.1 3.6 3.9 4.3 1.6
2.7 3.2 4.2 2.5 1.7
2.6 3.1 4.7 4.5 1.7
2.7 3.3 3.9 3.2 3.8
3.2 4.5 3.7 3
2.8 4.7 4.6
3.7 4.6 3.9
3.2 4.3 3.9
3.5 4.5
3.3 4.4
WEAKNESS
JIT LEAN LSS Six Sigma TQM Others
2.9 2.3 1.9 2.8 4 1.7
3.8 4.4 2.3 3.3 4.3 2.4
3.4 2.6 1.8 2.8 3.4 1.6
3 3.1 1.9 2.9 3.2 3.5
3.7 1.9 2 2.9 4.2 4.3
3.6 2 2 3.0 4.6 2.3
3.6 3 1.4 2.9 4.2 2.7
3.7 3.3 1.5 2.9 4.9 3
3.5 2.7 2 2.9 4.3 2.5
3.7 2 1.9 2.9 4.5
3.8 2.2 1.8 3.1 4.4
3.4 2.2 2 3.0 3.9
3.9 2.6 1.9 2.9 4.1
4.3 3.3 1.5 3.1 4.6
3.7 1 1.6 2.7 4.4
3.4 2.2 1.5 3.0 4.6
2.9 2.5 1.7 2.7 3.9
3.1 2.4 1.7 3.0 3.8
3.1 3.6 2 3.2 4.4
1.2 1.8 2.9 4.4
4.4 1.6 3.6
2.9 2.3 3.5
3 1.6 3.2
3.1 1.6
2.9 1.5
One-way ANOVA for Strength (among different Methods)
Method
Null hypothesis All means are equal
Alternative hypothesis At least one mean is different
Significance level α = 0.05
Equal variances were assumed for the analysis.
Factor Information
Factor Levels Values
Factor 6 JIT, LEAN, LSS, Six Sigma, TQM, Others
Analysis of Variance
Source DF Adj SS Adj MS F-Value P-Value
Factor 5 85.44 17.0888 76.18 0.000
Error 115 25.80 0.2243
Total 120 111.24
Model Summary
S R-sq R-sq(adj) R-sq(pred)
0.473616 76.81% 75.80% 74.00%
One-way ANOVA for Weakness (among different Methods)
Method
Null hypothesis All means are equal
Alternative hypothesis At least one mean is different
Significance level α = 0.05
Equal variances were assumed for the analysis.
Factor Information
Factor Levels Values
Factor 6 JIT, LEAN, LSS, Six Sigma, TQM, Others
Analysis of Variance
Source DF Adj SS Adj MS F-Value P-Value
Factor 5 73.46 14.6917 56.60 0.000
Error 115 29.85 0.2596
Total 120 103.31
Model Summary
S R-sq R-sq(adj) R-sq(pred)
0.509465 71.11% 69.85% 67.49%
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  • 1.
    SWOT ANALYSIS for Skimming theBest Quality Strategy By Dr. Bikram Jit Singh (MMDU Mullana) & H.S. Sodhi
  • 2.
    STRENGTHS JIT LEAN LSSSix Sigma TQM Others 2.1 4.1 4.1 4.1 1.6 1.9 2.5 3.3 4.3 4.9 1.4 2.9 2.2 2.9 4.4 3.6 1.7 2.9 2.6 3 4 4 1.9 2.4 2.5 3.8 4.2 2.6 1.3 3.8 2.6 3.5 4 3.2 2.2 3.5 3 3.2 4.3 3.9 1.9 1.7 2.3 3.4 4.4 3.4 1.5 2.4 2.8 3.3 4.3 3.8 1.3 2.8 2.5 3.5 4.2 3.9 1.8 2.2 3.5 4.7 4.2 2 2.7 3.6 3.9 4.7 1.8 2.7 2.8 4 3.5 1.4 2.4 3 4.1 4.4 1.8 2.6 2 4.2 4.6 1.8 3.1 3.6 3.9 4.3 1.6 2.7 3.2 4.2 2.5 1.7 2.6 3.1 4.7 4.5 1.7 2.7 3.3 3.9 3.2 3.8 3.2 4.5 3.7 3 2.8 4.7 4.6 3.7 4.6 3.9 3.2 4.3 3.9 3.5 4.5 3.3 4.4 WEAKNESS JIT LEAN LSS Six Sigma TQM Others 2.9 2.3 1.9 2.8 4 1.7 3.8 4.4 2.3 3.3 4.3 2.4 3.4 2.6 1.8 2.8 3.4 1.6 3 3.1 1.9 2.9 3.2 3.5 3.7 1.9 2 2.9 4.2 4.3 3.6 2 2 3.0 4.6 2.3 3.6 3 1.4 2.9 4.2 2.7 3.7 3.3 1.5 2.9 4.9 3 3.5 2.7 2 2.9 4.3 2.5 3.7 2 1.9 2.9 4.5 3.8 2.2 1.8 3.1 4.4 3.4 2.2 2 3.0 3.9 3.9 2.6 1.9 2.9 4.1 4.3 3.3 1.5 3.1 4.6 3.7 1 1.6 2.7 4.4 3.4 2.2 1.5 3.0 4.6 2.9 2.5 1.7 2.7 3.9 3.1 2.4 1.7 3.0 3.8 3.1 3.6 2 3.2 4.4 1.2 1.8 2.9 4.4 4.4 1.6 3.6 2.9 2.3 3.5 3 1.6 3.2 3.1 1.6 2.9 1.5
  • 3.
    One-way ANOVA forStrength (among different Methods) Method Null hypothesis All means are equal Alternative hypothesis At least one mean is different Significance level α = 0.05 Equal variances were assumed for the analysis. Factor Information Factor Levels Values Factor 6 JIT, LEAN, LSS, Six Sigma, TQM, Others Analysis of Variance Source DF Adj SS Adj MS F-Value P-Value Factor 5 85.44 17.0888 76.18 0.000 Error 115 25.80 0.2243 Total 120 111.24 Model Summary S R-sq R-sq(adj) R-sq(pred) 0.473616 76.81% 75.80% 74.00% One-way ANOVA for Weakness (among different Methods) Method Null hypothesis All means are equal Alternative hypothesis At least one mean is different Significance level α = 0.05 Equal variances were assumed for the analysis. Factor Information Factor Levels Values Factor 6 JIT, LEAN, LSS, Six Sigma, TQM, Others Analysis of Variance Source DF Adj SS Adj MS F-Value P-Value Factor 5 73.46 14.6917 56.60 0.000 Error 115 29.85 0.2596 Total 120 103.31 Model Summary S R-sq R-sq(adj) R-sq(pred) 0.509465 71.11% 69.85% 67.49%