Coal mine safety investment decision model based on combination empowerment and SPA-TOPSIS

doi:10.16265/j.cnki.issn1003-3033.2024.08.1755

Abstract

Abstract:

In order to solve the unreasonable problem of coal mine safety investment structure and decision scheme, the safety investment evaluation system was established to comprehensively evaluate the decision scheme of a coal mine over the years. Firstly, based on the perspective of safety value, considering the relationship between safety function and safety output, eight evaluation indexes were selected to construct the safety investment evaluation system of coal enterprises. Secondly, entropy weight method and analytic hierarchy process (AHP) were used to determine the index weight comprehensively. Finally, the SPA-TOPSIS method was used to analyze and evaluate the 2012-2022 decision scheme of a coal mine, and the evaluation scheme was optimized and the improvement suggestions for practical problems were proposed. The results show that the coal mine enterprises should pay more attention to the investment in safety education and industrial health indicators. Coal mine enterprises should comprehensively consider the safety function needs and safety output benefits when making safety investment decisions and reasonably adjust the focus of future safety investment decision by referring to the optimal investment allocation.

Key words: combination empowerment, set pair analysis (SPA), technique for order preference by similarity to an ideal solution (TOPSIS), safety investment, decision model

CLC Number:

X915.4安全经济学

JIANG Fuchuan, YANG Hao, WANG Hao, JIN Fengchun, AN Zewen. Coal mine safety investment decision model based on combination empowerment and SPA-TOPSIS[J]. China Safety Science Journal, 2024, 34(8): 86-92.

Figures/Tables 5

Fig.1

Table 1

Table 2

Table 3

Table 4

References 17

[1]	姜福川, 明银龙, 张书豪, 等. 煤矿安全投入与事故控制耦合及灰色关联分析[J]. 煤炭经济研究, 2023, 43(3):91-96.
	JIANG Fuchuan, MING Yinlong, ZHANG Shuhao, et al. Coupling and grey correlation analysis between coal mine safety input and accident control[J]. Coal Economic Research, 2023, 43(3): 91-96.
[2]	史恭龙, 张尧轶, 李红霞, 等. 安全投入、技术创新对采掘业经济效益的影响:门槛效应模型[J]. 中国安全科学学报, 2022, 32(8):9-15. doi: 10.16265/j.cnki.issn1003-3033.2022.08.1389
	SHI Gonglong, ZHANG Yaoyi, LI Hongxia, et al. Research on influence of safety investment and technological innovation to economic benefits of extractive industry: threshold effect model[J]. China Safety Science Journal, 2022, 32(8): 9-15. doi: 10.16265/j.cnki.issn1003-3033.2022.08.1389
[3]	姜福川, 周师, 吴增彤, 等. 基于熵权-TOPSIS法的煤矿安全投入决策分析[J]. 中国安全科学学报, 2021, 31(7):24-29. doi: 10.16265/j.cnki.issn 1003-3033.2021.07.004
	JIANG Fuchuan, ZHOU Shi, WU Zengtong, et al. Analysis of coal mine safety investment decision based on entropy weight-TOPSIS method[J]. China Safety Science Journal, 2021, 31(7): 24-29. doi: 10.16265/j.cnki.issn 1003-3033.2021.07.004
[4]	赵宝福, 张超, 贾宝山, 等. 煤企安全投入评价的G-INFNs-MCGDM方法及应用[J]. 中国安全科学学报, 2017, 27(2):139-144. doi: 10.16265/j.cnki.issn1003-3033.2017.02.025
	ZHAO Baofu, ZHANG Chao, JIA Baoshan, et al. G-INFNs-MCGDM method for evaluating safety input in coal enterprises and its application[J]. China Safety Science Journal, 2017, 27(2): 139-144. doi: 10.16265/j.cnki.issn1003-3033.2017.02.025
[5]	任海芝, 陈玉琴, 程恋军. 煤炭企业安全投入规模与投入结构优化研究[J]. 中国安全科学学报, 2014, 24(8):3-8.
	REN Haizhi, CHEN Yuqin, CHENG Lianjun. Study on optimizing both size and structure of safety investment in coal enterprises[J]. China Safety Science Journal, 2014, 24(8): 3-8.
[6]	柯丽华, 孟欢欢, 胡南燕, 等. 基于动态灰积加权关联算法的矿山安全投入决策模型及应用[J]. 矿业安全与环保, 2023, 50(1):123-128,134.
	KE Lihua, MENG Huanhuan, HU Nanyan, et al. Mine safety input decision model based on dynamic grey area weighted correlation algorithm and its application[J]. Mining Safety and Environmental Protection, 2023, 50(1): 123-128, 134.
[7]	常春光, 凌霄雪. 基于麻雀搜索算法优化支持向量回归的装配式建筑施工安全投入优化[J]. 科学技术与工程, 2023, 23(35):15 328-15 334.
	CHANG Chunguang, LING Xiaoxue. Optimization of safety investment in prefabricated building construction based on sparrow search algorithm optimized support vector regression[J]. Science Technology and Engineering, 2023, 23(35): 15 328-15 334.
[8]	田水承. 现代安全经济理论与实务[M]. 徐州: 中国矿业大学出版社, 2004:78-110.
[9]	姜福川, 金凤春, 张晓晓, 等. 基于Choquet模糊积分的煤矿安全投入经济效益评价[J]. 中国安全科学学报, 2024, 34(2):76-82. doi: 10.16265/j.cnki.issn1003-3033.2024.02.0577
	JIANG Fuchan, JIN Fengchun, ZHANG Xiaoxiao, et al. Economic benefit evaluation of coal mine safety input based on Choquet fuzzy integral[J]. China Safety Science Journal, 2024, 34(2): 76-82. doi: 10.16265/j.cnki.issn1003-3033.2024.02.0577
[10]	JIANG Fuchan, LAI En, SHAN Yuxuan, et al. A set theory-based model for safety investment and accident control in coal mines[J]. Process Safety and Environmental Protection, 2020, 136: 253-258.
[11]	樊占文, 张书豪, 钟基超. 安全信息在事故致因模型中的应用与研究[J]. 化工安全与环境, 2022, 35(42):6-11.
[12]	樊占文, 姜福川, 单宇轩. 事故致因“2-4”模型在煤矿安全投入指标体系构建中的应用[J]. 煤矿安全, 2023, 54(4):239-243.
	FAN Zhanwen, JIANG Fuchuan, SHAN Yuxuan. Application of "2-4" model of accident causation in the construction of mine safety input index system[J]. Safety in Coal Mines, 2023, 54(4): 239-243.
[13]	陈伟. 关于TOPSIS法应用中的逆序问题及消除的方法[J]. 运筹与管理, 2005(3):39-43.
	CHEN Wei. On the problem and elimination of rank reversal in the application of TOPSIS method[J]. Operations Research and Management Science, 2005 (3): 39-43.
[14]	赵吉成, 徐丕文. 基于模糊群决策的天津特色食品包装 SPA-TOPSIS 评价[J]. 包装工程, 2022, 43(17):213-223.
	ZHAO Jicheng, XU Piwen. SPA-TOPSIS evaluation of tianjin local characteristic food packaging based on fuzzy group decision[J]. Packaging Engineering, 2022, 43(17): 213-223.
[15]	邓雪, 李家铭, 曾浩健, 等. 层次分析法权重计算方法分析及其应用研究[J]. 数学的实践与认识, 2012, 42(7):93-100.
	DENG Xue, LI Jiaming, ZENG Haojian, et al. Research on computation methods of AHP wight vector and its applications[J]. Mathematics in Practice and Theory, 2012, 42(7): 93-100.
[16]	张近乐, 任杰. 熵理论中熵及熵权计算式的不足与修正[J]. 统计与信息论坛, 2011, 26(1):3-5.
	ZHANG Jinle, REN Jie. The deficiencies and amendments of the calculation formulate of entropy and entropy weight in the theory of entropy[J]. Statistics and Information Forum, 2011, 26(1): 3-5.
[17]	汪明武, 金菊良, 周玉良. 集对分析耦合方法与应用[M]. 北京: 科学出版社, 2013:13-26.

年份	安全教育/ 万元	安全技术/ 万元	安全管理/ 万元	工业卫生/ 万元	煤炭年产量/万t	事故经济损失/万元	百万吨事故率/%	百万吨死亡率/%
2012	349.0	739.4	416.5	465.4	140	285.3	3.01	0.077
2013	295.0	464.1	398.1	349.0	157	266.4	2.12	0.100
2014	286.4	349.7	386.2	327.6	143	316.5	2.21	0.136
2015	315.3	535.6	422.5	367.4	145	352.3	4.24	0.102
2016	354.6	445.2	436.0	427.0	130	275.2	2.22	0.147
2017	296.4	523.3	369.3	394.0	142	223.4	3.21	0.120
2018	273.5	436.7	385.4	385.3	120	324.0	2.12	0.172
2019	286.7	398.0	365.9	369.1	100	213.0	2.03	0.005
2020	328.8	489.0	375.4	326.4	110	384.4	2.01	0.102
2021	404.7	314.8	397.2	382.2	125	303.0	2.07	0.104
2022	302.5	391.3	404.8	406.4	130	251.0	2.08	0.006

年份	安全教育	安全技术	安全管理	工业卫生	煤炭年产量	事故经济损失	百万吨事故率	百万吨死亡率
2012	0.102	0.036	0.156	0.062	0.262	0.098	0.050	0.008
2013	0.121	0.058	0.163	0.083	0.294	0.105	0.071	0.006
2014	0.124	0.077	0.168	0.089	0.267	0.088	0.068	0.005
2015	0.113	0.050	0.153	0.079	0.271	0.079	0.036	0.006
2016	0.100	0.060	0.149	0.068	0.243	0.101	0.068	0.004
2017	0.120	0.051	0.175	0.074	0.266	0.125	0.047	0.005
2018	0.130	0.061	0.168	0.075	0.224	0.086	0.071	0.004
2019	0.124	0.067	0.177	0.079	0.187	0.131	0.074	0.126
2020	0.108	0.055	0.173	0.089	0.206	0.073	0.075	0.006
2021	0.088	0.085	0.163	0.076	0.234	0.092	0.073	0.006
2022	0.118	0.068	0.160	0.071	0.243	0.111	0.072	0.105

年份	加权SPA-TOPSIS				传统TOPSIS
年份	与Y⁺的加权联系度表达式	与Y^-的加权联系度表达式	与Y⁺贴近度	排序	与Y⁺贴近度	排序
2012	0.531+0.279k+0.189l	0.786+0.213k+0l	0.343	10	0.358	7
2013	0.748+0.251k+0l	0.616+0.259k+0.124l	0.574	3	0.492	3
2014	0.746+0.253k+0l	0.734+0.265k+0l	0.511	4	0.440	4
2015	0.605+0.316k+0.078l	0.805+0.194k+0l	0.349	9	0.375	6
2016	0.518+0.299k+0.182l	0.808+0.191k+0l	0.313	11	0.336	9
2017	0.728+0.271k+0l	0.731+0.268k+0l	0.498	5	0.434	5
2018	0.696+0.136k+0.167l	0.736+0.159k+0.104l	0.466	7	0.313	10
2019	0.918+0.081k+0l	0.515+0.162k+0.504l	0.862	1	0.577	2
2020	0.680+0.319k+0l	0.667+0.155k+0.177l	0.474	6	0.267	11
2021	0.634+0.261k+0.104l	0.712+0.197k+0.090l	0.439	8	0.355	8
2022	0.859+0.140k+0l	0.621+0.378k+0l	0.729	2	0.663	1

年份	投入比例
年份	安全教育	安全技术	安全管理	工业卫生
2012	0.177	0.375	0.211	0.236
2013	0.196	0.308	0.264	0.232
2014	0.212	0.259	0.286	0.243
2015	0.192	0.326	0.257	0.224
2016	0.213	0.268	0.262	0.257
2017	0.187	0.331	0.233	0.249
2018	0.185	0.295	0.260	0.260
2019	0.202	0.280	0.258	0.260
2020	0.216	0.322	0.247	0.215
2021	0.210	0.290	0.275	0.292
2022	0.201	0.260	0.269	0.270