灰色群组聚类和改进CRITIC赋权的供应商选择VIKOR多属性决策

doi:10.12305/j.issn.1001-506X.2023.01.19

Abstract

Abstract:

A VIKOR decision making method based on grey group clustering (GGC) and improved criteria importance through intercriteria correlation (ICRITIC) combination weighting is proposed to deal with the problem of weapon equipment supplier selection. The optimization indicator system of weapon equipment supplier selection is constructed by the group analytic hierarchy process method which considers the variation degree of decision makers. Combined with GGC subjective weight and ICRITIC objective weight approach, the weight preference coefficient is proposed to determine the indicator weight by additive combination weighting. The VIKOR decision making method is used to aggregate compromise ranking values of alternative suppliers. The comparison with different compromise coefficients, sorting and weighting approaches from flexibility and stability dimensions verifies the effectiveness of the proposed method.

Key words: supplier selection, multi-attribute decision making, grey group clustering (GGC), improved criteria importance through intercriteria correlation (ICRITIC), VIKOR

CLC Number:

C934

Jianhao WANG, Long WANG, Liang ZHANG, Lijie CUI. Supplier selection VIKOR multi-attribute decision making of grey group clustering and improved CRITIC weighting[J]. Systems Engineering and Electronics, 2023, 45(1): 155-164.

Figures/Tables 11

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References 31

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C	C
C	C₁			C₂			C₃			C₄			C₅
C₁	1	1	1	4	1/2	1/3	2	1/2	1/2	4	1/2	1/3	2	1/2	1/2
C₂	1/4	2	3	1	1	1	1/2	2	4	1/3	3	2	1/2	2	2
C₃	1/2	2	2	2	1/2	1/4	1	1	1	4	1/2	2	4	1/4	1/2
C₄	1/4	2	3	3	1/3	1/2	1/4	2	1/2	1	1	1	1/2	1/2	2
C₅	1/2	2	2	2	1/2	1/2	1/4	4	2	2	2	1/2	1	1	1

一级指标	二级指标	Y₁	Y₂	Y₃	Y₄	类型
发展创新能力	科研费用率/%	10	12	8	5	效益型
	新技术创新投入比率/%	15	20	10	25	效益型
	新型装备开发成功率/%	95	70	80	90	效益型
供应商绩效	单价/万	550	530	490	510	成本型
	合格率/%	98	97	99	99	效益型
	交货准确率/%	99	98	96	99	效益型
	数量柔性	21	35	30	20	效益型
	时间柔性	0.3	0.22	0.15	0.2	效益型
供应稳定性及安全性	零配件可替代程度	80	90	95	100	效益型
	核心技术外购比率/%	20	15	30	5	成本型
	供应商性质	5	5	3	5	效益型

一级指标权重	二级指标权重	主观权重ω^G
0.309 1	0.371 9	0.115 0
	0.285 3	0.088 2
	0.342 8	0.106 0
0.414 6	0.190 6	0.079 0
	0.170 7	0.070 8
	0.164 2	0.068 1
	0.292 6	0.121 3
	0.181 9	0.075 4
0.276 3	0.345 4	0.095 4
	0.410 5	0.113 4
	0.244 1	0.067 4

排序结果	排序1	排序2	排序3	排序4
S_j	Y₄	Y₂	Y₁	Y₃
R_j	Y₂	Y₃	Y₁	Y₄
Q_j	Y₂	Y₄	Y₃	Y₁

μ	Q(Y₁)	Q(Y₂)	Q(Y₃)	Q(Y₄)	方案排序	折衷方案
0.0	0.644 3	0.000 0	0.210 3	1.000 0	Y₂≻Y₃≻Y₁≻Y₄	Y₂/Y₃
0.1	0.642 5	0.038 2	0.289 3	0.900 0	Y₂≻Y₃≻Y₁≻Y₄	Y₂/Y₃
0.2	0.640 8	0.076 5	0.368 2	0.800 0	Y₂≻Y₃≻Y₁≻Y₄	Y₂/Y₃
0.3	0.639 0	0.114 7	0.447 2	0.700 0	Y₂≻Y₃≻Y₁≻Y₄	Y₂/Y₃
0.4	0.637 2	0.152 9	0.526 2	0.600 0	Y₂≻Y₃≻Y₁≻Y₄	Y₂
0.5	0.635 5	0.191 2	0.605 1	0.500 0	Y₂≻Y₄≻Y₃≻Y₁	Y₂/Y₄
0.6	0.633 7	0.229 4	0.684 1	0.400 0	Y₂≻Y₄≻Y₁≻Y₃	Y₂/Y₄
0.7	0.632 0	0.267 6	0.763 1	0.300 0	Y₂≻Y₄≻Y₁≻Y₃	Y₂/Y₄
0.8	0.630 2	0.305 9	0.842 1	0.200 0	Y₄≻Y₂≻Y₁≻Y₃	Y₂/Y₄
0.9	0.628 4	0.344 1	0.921 0	0.100 0	Y₄≻Y₂≻Y₁≻Y₃	Y₂/Y₄
1.0	0.626 7	0.382 3	1.000 0	0.000 0	Y₄≻Y₂≻Y₁≻Y₃	Y₄

Supplier selection VIKOR multi-attribute decision making of grey group clustering and improved CRITIC weighting

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备选供应商	VIKOR(μ=0.0)		VIKOR(μ=0.5)		VIKOR(μ=1.0)		TOPSIS		改进TOPSIS
备选供应商	折衷值	排序结果	折衷值	排序结果	折衷值	排序结果	贴近度	排序结果	相对贴近度	排序结果
Y₁	0.644 3	3	0.635 5	4	0.626 7	3	0.538 7	2	0.011 0	2
Y₂	0.000 0	1	0.191 2	1	0.382 3	2	0.555 1	1	0.000 0	1
Y₃	0.210 3	2	0.605 1	3	1.000 0	4	0.467 4	4	0.047 7	4
Y₄	1.000 0	4	0.500 0	2	0.000 0	1	0.496 9	3	0.040 0	3

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