基于多属性决策单元DEA模型评价方法在电网企业中的应用
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摘要
利用传统的数据包络分析(data envelopment analysis,DEA)模型评价方法进行效率评价分析时,只能对属性相同的决策单元进行评价,而对具有多属性的决策单元,若不考虑属性多类化则会产生不公正的评价。为了剔除这种不公正的因素,首先构建了多属性决策DEA模型,然后进行电网发展阶段划分,将不同的电网发展阶段作为区分属性,并对国家电网有限公司下属27家省电力公司进行属性分类和效率分析。结果表明,利用基于多属性决策单元DEA模型评价方法进行电网企业效率评估,不仅评估结果公正,而且还可提出与实际更加契合的改进运营效率的有效途径,为进一步提升电网企业的经营绩效、完善企业管理等提供借鉴。
It can only evaluate the decision-making units(DMUs) with the same attributes by using the evaluation method based on traditional DEA model, while for those multi-attribute DMUs, unfair evaluation is likely to be generated if taking no account of multi-class attributes. To get rid of unfair factors, this paper firstly establishes a multi-attribute decision-making DEA model and then divides development stages of the power grid so as to take different development stages as distinguishable attributes. Meanwhile, it classifies 27 provincial electric power companies of State Grid Corporation according to different attributes and makes analysis on efficiency. The results indicate the evaluation result is fair by using the method based on the multi-attribute DMU DEA model for assessing efficiency of the power grid enterprises, and that it is able to propose an effective way to improve operation efficiency more agreed with actuality which is capable of providing references for further promoting business performance of the power grid enterprises and completing enterprise management.
It can only evaluate the decision-making units(DMUs) with the same attributes by using the evaluation method based on traditional DEA model, while for those multi-attribute DMUs, unfair evaluation is likely to be generated if taking no account of multi-class attributes. To get rid of unfair factors, this paper firstly establishes a multi-attribute decision-making DEA model and then divides development stages of the power grid so as to take different development stages as distinguishable attributes. Meanwhile, it classifies 27 provincial electric power companies of State Grid Corporation according to different attributes and makes analysis on efficiency. The results indicate the evaluation result is fair by using the method based on the multi-attribute DMU DEA model for assessing efficiency of the power grid enterprises, and that it is able to propose an effective way to improve operation efficiency more agreed with actuality which is capable of providing references for further promoting business performance of the power grid enterprises and completing enterprise management.
引文
[1] 闫志雄,张宁,宋红芳,等.基于DEA的电网绩效评估方法[J].电力系统保护与控制,2014,42(7):67-72. YAN Zhixiong,ZHANG Ning,SONG Hongfang,et al. DEA grid performance evaluation method[J].Power System Protection and Control, 2014,42(7): 67-72.
[2] 沈维春.电网项目绩效评价的指标体系构建[J].统计与决策,2016(3):186-188. SHEN Weichun. Construction of index system for performance evaluation of power grid projects[J]. Statistics and Decision, 2016(3): 186-188.
[3] 闫庆友,丁子娴.基于DEA模型的电力行业上市公司的经营绩效分析[J].中国管理信息化,2010,13(11):81-84. YAN Qingyou,DING Zixian.Analysis of the operational performance of listed companies in the power industry based on DEA model[J].Chinese Management Information, 2010,13(11): 81-84.
[4] 韩冬,严正,李磊.基于随机前沿模型的智能电网效率评估方法[J].电网技术,2015,39(7):1963-1969. HAN Dong, YAN Zheng,LI Lei.Smart grid efficiency evaluation method based on stochastic frontier model[J]. Power System Technology,2015,39(7):1963-1969.
[5] 宋伶俐,贾乐刚,周博文.基于模糊神经网络的电网运营效率评估方法研究[J].河北电力技术, 2015,34(3):30-32,54. SONG Lingli,JIA Legang,ZHOU Bowen. Research on operational efficiency assessment of power grid based on fuzzy neural network[J]. Hebei Electric Power, 2015,34(3):30-32,54.
[6] 何轩,温步瀛,江岳文.基于绩效标杆的专用工程输电定价方法[J].广东电力,2016,29(1):92-96. HE Xuan, WEN Buying, JIANG Yuewen. Dedicated engineering transmission pricing method based on performance benchmarking[J].Guangdong Electric Power, 2016,29(1):92-96.
[7] 徐泽水.不确定多属性决策方法及应用[M].北京: 清华大学出版社, 2004.
[8] 刘树林, 邱菀华. 多属性决策基础理论研究[J]. 系统工程理论与实践, 1998,18(1):38-43. LIU Shulin, QIU Wanhua. Multi-attribute decision basic theory[J].Systems Engineering Theory and Practice, 1998,18(1): 38-43.
[9] 姚爽, 郭亚军, 黄玮强. 一种语言评价信息不完全的多属性群决策方法[J]. 系统工程学报, 2011, 26(4):460-467. YAO Shuang, GUO Yajun, HUANG Weiqiang.Incomplete linguistic assessment information multi-attribute group decision-making methods[J].Journal of Systems Engineering, 2011, 26(4): 460-467.
[10] LIU P, LI H. Multiple attribute decision-making method based on some normal neutrosophic Bonferroni mean operators[J]. Neural Computing & Applications, 2015, 28(8):1-16.
[11] TENG F, LIU P, ZHANG L, et al. Multiple attribute decision-making methods with unbalanced linguistic variables based on maclaurin symmetric mean operators[J]. International Journal of Information Technology & Decision Making, 2018(3):1-8.
[12] 姜广田. 考虑决策者心理行为的混合型随机多属性决策方法[J]. 中国管理科学, 2014, 22(6):78-84. JIANG Guangtian.Method for hybrid stochastic multiple attribute decision making considering decision maker's psychological behavior[J]. Chinese Journal of Management Science, 2014, 22(6):78-84.
[13] 陈发动. 考虑决策者心理行为的多属性决策方法研究[D].沈阳: 东北大学, 2011.
[14] 胡婷.DEA在电网企业投入产出绩效评价中的应用研究[J].管理观察,2014(23):88-91. HU Ting. Application of DEA in performance evaluation of power grid enterprise input and output[J]. Management Observation, 2014(23): 88-91.
[15] 李金城.基于超效率DEA模型的偏远地区电网投资绩效研究[J].电力学报,2012,27(4):329-334. LI Jincheng. Journal-based power grid in remote areas of investment performance over efficiency DEA[J].Journal of Electric Power, 2012,27(4): 329-334.
[16] 赵胜利,李晓兵,杨玉群,等.基于DEA的电网海外投资项目过程后评价研究[J].电网与清洁能源,2018,34(1):39-44. ZHAO Shengli, LI Xiaobing, YANG Yuqun,et al. Research after DEA grid overseas investment projects based on the evaluation process[J].Grid and Clean Energy, 2018,34(1): 39-44.
[17] 马占新, 候翔. 具有多属性决策单元的有效性分析方法[J]. 系统工程与电子技术, 2011, 33(2):339-345. MA Zhanxin, HOU Xiang. Validity analysis method with multiple attribute decision making units[J]. Systems Engineering and Electronics, 2011, 33(2): 339-345.
[2] 沈维春.电网项目绩效评价的指标体系构建[J].统计与决策,2016(3):186-188. SHEN Weichun. Construction of index system for performance evaluation of power grid projects[J]. Statistics and Decision, 2016(3): 186-188.
[3] 闫庆友,丁子娴.基于DEA模型的电力行业上市公司的经营绩效分析[J].中国管理信息化,2010,13(11):81-84. YAN Qingyou,DING Zixian.Analysis of the operational performance of listed companies in the power industry based on DEA model[J].Chinese Management Information, 2010,13(11): 81-84.
[4] 韩冬,严正,李磊.基于随机前沿模型的智能电网效率评估方法[J].电网技术,2015,39(7):1963-1969. HAN Dong, YAN Zheng,LI Lei.Smart grid efficiency evaluation method based on stochastic frontier model[J]. Power System Technology,2015,39(7):1963-1969.
[5] 宋伶俐,贾乐刚,周博文.基于模糊神经网络的电网运营效率评估方法研究[J].河北电力技术, 2015,34(3):30-32,54. SONG Lingli,JIA Legang,ZHOU Bowen. Research on operational efficiency assessment of power grid based on fuzzy neural network[J]. Hebei Electric Power, 2015,34(3):30-32,54.
[6] 何轩,温步瀛,江岳文.基于绩效标杆的专用工程输电定价方法[J].广东电力,2016,29(1):92-96. HE Xuan, WEN Buying, JIANG Yuewen. Dedicated engineering transmission pricing method based on performance benchmarking[J].Guangdong Electric Power, 2016,29(1):92-96.
[7] 徐泽水.不确定多属性决策方法及应用[M].北京: 清华大学出版社, 2004.
[8] 刘树林, 邱菀华. 多属性决策基础理论研究[J]. 系统工程理论与实践, 1998,18(1):38-43. LIU Shulin, QIU Wanhua. Multi-attribute decision basic theory[J].Systems Engineering Theory and Practice, 1998,18(1): 38-43.
[9] 姚爽, 郭亚军, 黄玮强. 一种语言评价信息不完全的多属性群决策方法[J]. 系统工程学报, 2011, 26(4):460-467. YAO Shuang, GUO Yajun, HUANG Weiqiang.Incomplete linguistic assessment information multi-attribute group decision-making methods[J].Journal of Systems Engineering, 2011, 26(4): 460-467.
[10] LIU P, LI H. Multiple attribute decision-making method based on some normal neutrosophic Bonferroni mean operators[J]. Neural Computing & Applications, 2015, 28(8):1-16.
[11] TENG F, LIU P, ZHANG L, et al. Multiple attribute decision-making methods with unbalanced linguistic variables based on maclaurin symmetric mean operators[J]. International Journal of Information Technology & Decision Making, 2018(3):1-8.
[12] 姜广田. 考虑决策者心理行为的混合型随机多属性决策方法[J]. 中国管理科学, 2014, 22(6):78-84. JIANG Guangtian.Method for hybrid stochastic multiple attribute decision making considering decision maker's psychological behavior[J]. Chinese Journal of Management Science, 2014, 22(6):78-84.
[13] 陈发动. 考虑决策者心理行为的多属性决策方法研究[D].沈阳: 东北大学, 2011.
[14] 胡婷.DEA在电网企业投入产出绩效评价中的应用研究[J].管理观察,2014(23):88-91. HU Ting. Application of DEA in performance evaluation of power grid enterprise input and output[J]. Management Observation, 2014(23): 88-91.
[15] 李金城.基于超效率DEA模型的偏远地区电网投资绩效研究[J].电力学报,2012,27(4):329-334. LI Jincheng. Journal-based power grid in remote areas of investment performance over efficiency DEA[J].Journal of Electric Power, 2012,27(4): 329-334.
[16] 赵胜利,李晓兵,杨玉群,等.基于DEA的电网海外投资项目过程后评价研究[J].电网与清洁能源,2018,34(1):39-44. ZHAO Shengli, LI Xiaobing, YANG Yuqun,et al. Research after DEA grid overseas investment projects based on the evaluation process[J].Grid and Clean Energy, 2018,34(1): 39-44.
[17] 马占新, 候翔. 具有多属性决策单元的有效性分析方法[J]. 系统工程与电子技术, 2011, 33(2):339-345. MA Zhanxin, HOU Xiang. Validity analysis method with multiple attribute decision making units[J]. Systems Engineering and Electronics, 2011, 33(2): 339-345.