A Novel Method for Evaluating Dredging Productivity Using a Data Envelopment Analysis-Based Technique

Table 8

The dredging assessment results for Cao Gongzhao I.

Work day	Traditional dredging productivity method		Proposed method
	Dredging productivity result	Dredging productivity result/One-day high dredging productivity	1 input result	3 input result
1	2816.346	0.239	0.239	0.494
2	6405.818	0.543	0.543	0.603
3	11019.975	0.934	0.934	0.942
4	8231.639	0.698	0.698	0.762
5	8273.882	0.701	0.701	0.794
6	7960.192	0.675	0.675	0.756
7	10342.529	0.877	0.877	0.906
8	4816.154	0.408	0.408	0.529
9	8890.962	0.754	0.754	0.782
10	9519.431	0.807	0.807	0.898
11	8879.834	0.753	0.753	0.798
12	9653.186	0.818	0.818	0.868
13	6966.549	0.590	0.590	0.662
14	11371.493	0.964	0.964	1.000
15	9232.727	0.783	0.783	0.798
16	8652.912	0.733	0.733	0.787
17	8680.170	0.736	0.736	0.787
18	8681.754	0.736	0.736	0.786
19	9328.361	0.791	0.791	0.835
20	10233.803	0.867	0.867	0.878
21	11393.279	0.966	0.966	0.972
22	11704.605	0.992	0.992	0.994
23	11271.132	0.955	0.955	0.968
24	9687.730	0.821	0.821	0.836
25	10094.626	0.856	0.856	0.891
26	10523.194	0.892	0.892	0.920
27	11719.725	0.993	0.993	0.995
28	10257.749	0.869	0.869	0.881
29	11190.684	0.948	0.948	0.955
30	11303.088	0.958	0.958	0.969
31	11445.158	0.970	0.970	0.978
32	10714.713	0.908	0.908	0.932
33	11439.483	0.970	0.970	0.978
34	11466.823	0.972	0.972	0.976
35	11440.000	0.970	0.970	0.978
36	11628.208	0.986	0.986	0.990
37	11612.042	0.984	0.984	0.988
38	11774.881	0.998	0.998	1.000
39	11783.891	0.999	0.999	0.999
40	11799.000	1.000	1.000	1.000
41	11598.889	0.983	0.983	0.988
42	11622.402	0.985	0.985	0.989
43	11491.402	0.974	0.974	0.978
44	11559.582	0.980	0.980	0.985
45	11694.897	0.991	0.991	0.994
46	11636.401	0.986	0.986	0.990
47	10883.100	0.922	0.922	0.931
48	11593.975	0.983	0.983	0.986
49	11636.120	0.986	0.986	0.989
50	11724.261	0.994	0.994	0.996
51	11622.104	0.985	0.985	0.989
52	11636.401	0.986	0.986	0.989
53	11589.386	0.982	0.982	0.987
54	10354.564	0.878	0.878	0.883
55	11712.165	0.993	0.993	0.995
56	11667.777	0.989	0.989	0.990
57	1200.000	0.102	0.102	0.360
58	1200.000	0.102	0.102	0.360
59	9540.737	0.809	0.809	0.853
60	5350.841	0.453	0.453	0.632
61	1926.638	0.163	0.163	0.617
62	10020.000	0.849	0.849	0.919
63	10838.667	0.919	0.919	0.927
64	10445.656	0.885	0.885	0.896
65	9540.737	0.809	0.809	0.853
66	5350.841	0.453	0.453	0.632