Importance Degree Evaluation of Spare Parts Based on Clustering Algorithm and Back-Propagation Neural Network

Table 6

Comparison of importance degree values obtained from the samples and from the proposed method.

Part number	Part number	Samples-based importance degree	The proposed method-based importance degree	Relative error (%)
1	A 881 316 05 52	0.05708794	0.05708713	0.0000809
2	A 881 350 00 06	0.056734144	0.056682938	0.0051206
3	A 881 316 04 52	0.05708794	0.057078051	0.0009889
4	A 520 541 05 01	0.192090071	0.192017238	0.0072833
5	A 881 500 03 55	0.191947037	0.191609507	0.0337530
6	A 518 820 25 75	0.191947037	0.191933056	0.0013981
7	A 881 331 02 28	0.261637417	0.261629909	0.0007507
8	A 881 331 01 28	0.261668054	0.261572242	0.0095811
9	A 520 541 05 02	0.261305535	0.261270967	0.0034569
10	A 518 750 00 18	0.333885659	0.333885496	0.0000164
11	A 518 671 02 10	0.334024112	0.333950642	0.0073469
12	A 881 820 04 61	0.333951472	0.333906344	0.0045128
13	A 881 820 03 61	0.333951472	0.333903023	0.0048449
14	A 881 698 04 75	0.060942867	0.060938979	0.0003888
15	A 881 820 02 56	0.060905256	0.06084617	0.0059087
16	A 881 820 01 56	0.060905256	0.060873403	0.0031853
17	A 518 891 02 17	0.035284462	0.035013288	0.0271174
18	A 520 541 05 03	0.17749964	0.177416624	0.0083016
19	A 881 331 02 29	0.080136	0.080128215	0.0007785
20	A 881 331 01 29	0.080145812	0.080124858	0.0020954
21	A 346 353 07 35	0.154651334	0.154597296	0.0054038
22	A 881 500 00 99	0.333385668	0.33337566	0.0010008
23	A 070 490 06 61	0.062971631	0.062939744	0.0031887
24	A 881 490 04 40	0.062854104	0.062802206	0.0051898
25	A 518 544 15 03	0.130196477	0.130188692	0.0007785
26	A 818 522 00 03	0.13028396	0.130272664	0.0011296
27	A 881 320 00 02-03	0.130572149	0.130458202	0.0113948
28	A 818 520 00 19	0.130225144	0.13015753	0.0067615
29	A 881 890 00 05	0.181999949	0.181893667	0.0106282
30	A 881 323 01 00	0.181868101	0.181867296	0.0000805
…	…	…	…	…