Research Article
Incorporating Variability in Lean Manufacturing: A Fuzzy Value Stream Mapping Approach
Table 4
One-sample Kolmogorov–Smirnov test.
| | VAR 00001 | VAR 00002 | VAR 00003 | VAR 00004 | VAR 00005 | VAR 00006 | VAR 00007 | VAR 00008 | VAR 00009 | VAR 00010 | VAR 00011 |
| N | | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | Normal parametersa,b | Mean | 2.0060 | 19.8400 | 0.7990 | 30.0500 | 1.4900 | 320.6000 | 0.4290 | 298.0600 | 1.9120 | 510.5800 | 2.1800 | Std. deviation | 0.30873 | 1.89481 | 0.23159 | 1.59782 | 0.15472 | 6.25389 | 0.17425 | 11.23920 | 0.83862 | 12.61006 | 0.82829 | Most extreme differences | Absolute | 0.132 | 0.131 | 0.102 | 0.124 | 0.131 | 0.069 | 0.134 | 0.048 | 0.077 | 0.066 | 0.070 | Positive | 0.098 | 0.131 | 0.098 | 0.124 | 0.120 | 0.049 | 0.106 | 0.048 | 0.077 | 0.066 | 0.070 | Negative | −0.132 | −0.090 | −0.102 | −0.124 | −0.131 | −0.069 | −0.134 | −0.033 | −0.070 | −0.059 | −0.040 | Kolmogorov–Smirnov Z | | 1.322 | 1.312 | 1.017 | 1.245 | 1.314 | 0.694 | 1.339 | 0.476 | 0.772 | 0.662 | 0.704 | Asymp. Sig. (2-tailed) | | 0.061 | 0.064 | 0.252 | 0.090 | 0.063 | 0.721 | 0.055 | 0.977 | 0.590 | 0.773 | 0.705 |
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aTest distribution is normal. bCalculated from the data.
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