Research Article
A Novel Method for Evaluating Dredging Productivity Using a Data Envelopment Analysis-Based Technique
Table 3
3 inputs into a single-input-single-output model conversion.
| Work day | Input | Output | Hydraulic excavator (SL-330) | Hydraulic excavator (320B) | Daily trucks | Convert into a single-input | Daily dredging (M3) |
| 1 | 0.000 | 0.667 | 0.600 | 0.422 | 1668 | 2 | 0.000 | 0.667 | 0.600 | 0.422 | 1683 | 3 | 1.000 | 0.000 | 0.636 | 0.545 | 1701 | 4 | 1.000 | 0.000 | 0.636 | 0.545 | 1702 | 5 | 0.000 | 0.333 | 0.636 | 0.323 | 1700 | 6 | 0.000 | 0.667 | 0.618 | 0.428 | 1696 | 7 | 1.000 | 0.000 | 0.600 | 0.533 | 1665 | 8 | 1.000 | 0.333 | 0.636 | 0.657 | 1701 | 9 | 0.000 | 0.667 | 0.655 | 0.440 | 1716 | 10 | 0.000 | 0.667 | 0.655 | 0.440 | 1720 | 11 | 1.000 | 0.333 | 0.473 | 0.602 | 1706 | 12 | 1.000 | 0.333 | 0.509 | 0.614 | 1717 | 13 | 0.000 | 0.667 | 0.527 | 0.398 | 1729 | 14 | 0.000 | 0.667 | 0.545 | 0.404 | 1737 | 15 | 1.000 | 0.667 | 0.564 | 0.743 | 1747 | 16 | 1.000 | 0.667 | 0.600 | 0.756 | 1759 | 17 | 0.000 | 1.000 | 0.618 | 0.539 | 1770 | 18 | 0.000 | 1.000 | 0.636 | 0.545 | 1782 | 19 | 1.000 | 0.667 | 0.655 | 0.774 | 1792 | 20 | 1.000 | 0.667 | 0.673 | 0.780 | 1798 | 21 | 0.000 | 1.000 | 0.709 | 0.570 | 1826 | 22 | 0.000 | 1.000 | 0.745 | 0.582 | 1855 | 23 | 1.000 | 0.667 | 0.764 | 0.810 | 1871 | 24 | 1.000 | 1.000 | 0.782 | 0.927 | 1895 | 25 | 1.000 | 1.000 | 0.818 | 0.939 | 1925 | 26 | 1.000 | 1.000 | 0.855 | 0.952 | 1950 | 27 | 1.000 | 1.000 | 0.891 | 0.964 | 1985 | 28 | 1.000 | 1.000 | 0.945 | 0.982 | 2041 | 29 | 1.000 | 1.000 | 1.000 | 1.000 | 2093 | 30 | 1.000 | 1.000 | 0.927 | 0.976 | 2089 | 31 | 1.000 | 1.000 | 0.873 | 0.958 | 2083 | 32 | 1.000 | 1.000 | 0.800 | 0.933 | 2076 | 33 | 1.000 | 1.000 | 0.745 | 0.915 | 2067 | 34 | 1.000 | 1.000 | 0.691 | 0.897 | 2058 | 35 | 1.000 | 1.000 | 0.636 | 0.879 | 2047 | 36 | 1.000 | 1.000 | 0.582 | 0.861 | 2036 | 37 | 1.000 | 1.000 | 0.527 | 0.842 | 2024 | 38 | 1.000 | 1.000 | 0.491 | 0.830 | 2012 | 39 | 1.000 | 1.000 | 0.436 | 0.812 | 1999 | 40 | 1.000 | 1.000 | 0.400 | 0.800 | 1986 | 41 | 1.000 | 1.000 | 0.364 | 0.788 | 1973 | 42 | 1.000 | 1.000 | 0.327 | 0.776 | 1959 | 43 | 1.000 | 1.000 | 0.291 | 0.764 | 1946 | 44 | 1.000 | 1.000 | 0.255 | 0.752 | 1932 | 45 | 1.000 | 1.000 | 0.236 | 0.745 | 1918 | 46 | 1.000 | 1.000 | 0.200 | 0.733 | 1905 | 47 | 1.000 | 1.000 | 0.164 | 0.721 | 1891 | 48 | 1.000 | 1.000 | 0.145 | 0.715 | 1877 | 49 | 1.000 | 1.000 | 0.109 | 0.703 | 1863 | 50 | 1.000 | 1.000 | 0.091 | 0.697 | 1850 | 51 | 1.000 | 1.000 | 0.055 | 0.685 | 1836 | 52 | 1.000 | 1.000 | 0.036 | 0.679 | 1823 | 53 | 1.000 | 1.000 | 0.018 | 0.673 | 1809 | 54 | 1.000 | 1.000 | 0.000 | 0.667 | 1796 |
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