基于DEA-TOPSIS模型的水上应急资源配置效率评价
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摘要
合理配置水上应急资源能有效提升水上搜救效率。在建立了3层评价指标体系的基础上,以应急资源加权的投入产出比为目标函数,引入数据包络分析方法构建了水上应急资源配置效率评价模型,并结合逼近理想排序法对救援效率进行综合排序。以长江江苏段10个分支局的应急资源配置为例,获取各分支局的投入冗余值,并对其进行排序。结果表明,该模型能获取应急资源配置的冗余程度,从而分析水上应急资源配置效率,为海事主管机关优化水上应急资源配置提供借鉴。
This paper is inclined to put its focus on the rational allocation of waterway emergency resources to promote the efficiency on waterway search and rescue effectively. For the said purpose,first of all,we have made a careful analysis and summary to design a three-level evaluation index system,which can truly reflect the allocation of water emergency resources. To reduce the influence of the human factors,we have taken the input-output ratio as objective function,and we would like to introduce the Data Envelopment Analysis method to set up a waterway emergency resource allocation efficiency evaluation model,which evaluates the efficiency objectively. What is more,we have combined the DEA method with the Technique for Order Preference to establish a more perfect model. In doing so,we have managed to obtain the values of efficiency of emergency resources allocation and sort the overall efficiency of rescue. As a step further,we have taken the ten branches marine bureau of the Yangtze River in Jiangsu Province as a case study sample. And,finally,we have worked out the values of input redundancy of each branch marine bureau,and at the same time,we have sorted them based on the values of efficiency of emergency resources allocation. The proposed model can thus obtain the redundancy degree of efficiency of emergency resources allocation of each branch marine bureau,which is necessary to analyze the allocation efficiency. Thus,the advantages of the proposed model can be summarized in the following points.( 1) The model can be taken to calculate the values of efficiency of emergency resources allocation,input redundancy and outputs insufficient. And,( 2),the proposed model can make up the shortfall of DEA method to obtain the comprehensive analysis of emergency resource allocation. The result of the actual application demonstrates that this model can provide reference for the maritime administration to optimize the allocation of waterway emergency resources.
This paper is inclined to put its focus on the rational allocation of waterway emergency resources to promote the efficiency on waterway search and rescue effectively. For the said purpose,first of all,we have made a careful analysis and summary to design a three-level evaluation index system,which can truly reflect the allocation of water emergency resources. To reduce the influence of the human factors,we have taken the input-output ratio as objective function,and we would like to introduce the Data Envelopment Analysis method to set up a waterway emergency resource allocation efficiency evaluation model,which evaluates the efficiency objectively. What is more,we have combined the DEA method with the Technique for Order Preference to establish a more perfect model. In doing so,we have managed to obtain the values of efficiency of emergency resources allocation and sort the overall efficiency of rescue. As a step further,we have taken the ten branches marine bureau of the Yangtze River in Jiangsu Province as a case study sample. And,finally,we have worked out the values of input redundancy of each branch marine bureau,and at the same time,we have sorted them based on the values of efficiency of emergency resources allocation. The proposed model can thus obtain the redundancy degree of efficiency of emergency resources allocation of each branch marine bureau,which is necessary to analyze the allocation efficiency. Thus,the advantages of the proposed model can be summarized in the following points.( 1) The model can be taken to calculate the values of efficiency of emergency resources allocation,input redundancy and outputs insufficient. And,( 2),the proposed model can make up the shortfall of DEA method to obtain the comprehensive analysis of emergency resource allocation. The result of the actual application demonstrates that this model can provide reference for the maritime administration to optimize the allocation of waterway emergency resources.
引文
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[4] WANG Zhiwei(王致维),ZHANG Peilin(张培林). Re-source allocation of emergency system based on DEA andBP neural network[J]. Port and Waterway Engineering(水运工程),2011(10):54-57.
[5] WU B,WANG Y,ZHANG J,et al. Effectiveness ofmaritime safety control in different navigation zones usinga spatial sequential DEA model:Yangtze River case[J].Accident Analysis&Prevention,2015,81:232-242.
[6] HU Jian(胡健),SUN Jinhua(孙金花). A dynamic as-sessment model for the regional energy consumption secur-ity under the elastic control management[J]. Journal ofSafety and Environment(安全与环境学报),2016,16(5):25-30.
[7] XU Zhisheng(徐志胜),YOU Wenjiao(游温娇),KONG Jie(孔杰). Research on input-output efficiency ofthe fire-disaster fighting equipment and facilities invest-ment and human efforts made in Chinese universities[J].Journal of Safety and Environment(安全与环境学报),2017,17(4):1371-1375.
[8] MA Qifeiyang(马齐飞扬),ZHAO Shuxu(赵庶旭). Ap-plication of improved TOPSIS method in decision-making ofrailway emergency rescue[J]. China Safety Science Journal(中国安全科学学报),2016,26(1):155-161.
[9] FENG Maoxiu(丰茂秀),HU Jiankun(胡坚堃). Re-search on the port comprehensive strength evaluation andoperation efficiency analysis based on the entropy-weigh-ted-TOPSIS and DEA method[J]. Journal of Central Chi-na Normal University:Natural Sciences(华中师范大学学报:自然科学版),2017,51(3):356-363.
[10] ZHAO Yuanfei(赵远飞),CHEN Guohua(陈国华).Study on location optimizing model of emergency systembased on improved TOPSIS method[J]. China SafetyScience Journal(中国安全科学学报),2008,18(9):22-28.
[11] HWANG C L,YOON K. Methods for multiple attributedecision making[M]. Berlin:Springer Berlin Heidel-berg,1981:58-191.
[12] AI Y F,LU J,ZHANG L L. The optimization model forthe location of maritime emergency supplies reserve basesand the configuration of salvage vessels[J]. Transporta-tion Research Part E—Logistics&Transportation Review,2015,83:170-188.
[13] ZHANG J,YAN X,ZHANG D,et al. Safety managementperformance assessment for Maritime Safety Administration(MSA)by using generalized belief rule base methodology[J]. Safety Science,2014,63(4):157-167.
[2] CHARNES A,COOPER W W,RHODES E. Meas-uring the efficiency of decision making units[J]. Eu-ropean Journal of Operational Research, 1978, 2(6):429-444.
[3] FANG Lei(方磊). Resource allocation of emergency sys-tem based on the DEA model with preference information[J]. System Engineering—Theory&Practice(系统工程理论与实践),2008,28(5):98-104.
[4] WANG Zhiwei(王致维),ZHANG Peilin(张培林). Re-source allocation of emergency system based on DEA andBP neural network[J]. Port and Waterway Engineering(水运工程),2011(10):54-57.
[5] WU B,WANG Y,ZHANG J,et al. Effectiveness ofmaritime safety control in different navigation zones usinga spatial sequential DEA model:Yangtze River case[J].Accident Analysis&Prevention,2015,81:232-242.
[6] HU Jian(胡健),SUN Jinhua(孙金花). A dynamic as-sessment model for the regional energy consumption secur-ity under the elastic control management[J]. Journal ofSafety and Environment(安全与环境学报),2016,16(5):25-30.
[7] XU Zhisheng(徐志胜),YOU Wenjiao(游温娇),KONG Jie(孔杰). Research on input-output efficiency ofthe fire-disaster fighting equipment and facilities invest-ment and human efforts made in Chinese universities[J].Journal of Safety and Environment(安全与环境学报),2017,17(4):1371-1375.
[8] MA Qifeiyang(马齐飞扬),ZHAO Shuxu(赵庶旭). Ap-plication of improved TOPSIS method in decision-making ofrailway emergency rescue[J]. China Safety Science Journal(中国安全科学学报),2016,26(1):155-161.
[9] FENG Maoxiu(丰茂秀),HU Jiankun(胡坚堃). Re-search on the port comprehensive strength evaluation andoperation efficiency analysis based on the entropy-weigh-ted-TOPSIS and DEA method[J]. Journal of Central Chi-na Normal University:Natural Sciences(华中师范大学学报:自然科学版),2017,51(3):356-363.
[10] ZHAO Yuanfei(赵远飞),CHEN Guohua(陈国华).Study on location optimizing model of emergency systembased on improved TOPSIS method[J]. China SafetyScience Journal(中国安全科学学报),2008,18(9):22-28.
[11] HWANG C L,YOON K. Methods for multiple attributedecision making[M]. Berlin:Springer Berlin Heidel-berg,1981:58-191.
[12] AI Y F,LU J,ZHANG L L. The optimization model forthe location of maritime emergency supplies reserve basesand the configuration of salvage vessels[J]. Transporta-tion Research Part E—Logistics&Transportation Review,2015,83:170-188.
[13] ZHANG J,YAN X,ZHANG D,et al. Safety managementperformance assessment for Maritime Safety Administration(MSA)by using generalized belief rule base methodology[J]. Safety Science,2014,63(4):157-167.