摘要
为了对水利工程承包企业的信用进行评价,采用灰色系统理论,从综合素质、竞争能力、管理水平、财务状况、市场行为、企业信誉6个方面建立评价指标体系,利用改进的灰色关联度方法确定指标权重,此外,提出5级评价等级标准,构建了灰色综合评价模型.利用所构建的水利工程承包企业信用评价灰色模型,以江苏省新沭河治理工程中某承包企业为例进行综合信用评价,得出其综合信用等级为"一般",与模糊综合评判法得出的结论吻合.信用明细表明,该企业竞争能力较好,管理水平一般,财务状况一般,企业信誉一般,在市场行为方面有待提高,今后要注重提高施工质量,完善规章制度和施工记录,严格执行验收程序,落实安全生产,合理安排施工进度.研究表明,灰色综合评价模型对水利工程承包企业的信用评价有效可行,有助于企业完善自身不足,对水利工程承包企业的优选排序具有一定的参考作用.
In order to evaluate the credit of water conservancy project contracting enterprises,using grey system theory,the evaluation index system was established from six aspects including comprehensive quality,competitive ability,management level,financial condition,market behavior and enterprise reputation,and the improved grey relation degree method was used determine index weight. In addition,the five grade evaluation standard was put forward and the grey comprehensive evaluation model was constructed. Using the constructed water conservancy project contracting enterprise credit evaluation grey model and taking the new Shuhe River project in Jiangsu Province as an example of a contracting enterprise credit evaluation,it is concluded that the comprehensive credit rating is "general",which is consistent with the conclusion of fuzzy comprehensive evaluation method. Credit details show that the enterprise has better competitive ability,general management level,general financialcondition and general reputation,needs to be improved in the market behavior. In the future,attention should be paid to improving the construction quality,perfecting the rules and regulations and construction records,strictly implementing the acceptance procedures and safety production,and reasonably arranging the construction schedule. Research shows that the grey comprehensive evaluation model for water conservancy project contracting enterprise credit evaluation is feasible and effective,and helps enterprises to improve their own shortcomings,and is of certain reference value to the optimum ranking of water conservancy project contracting enterprises.
作者
冯婉茹
刘永强
FENG Wanru;LIU Yongqiang(College of Water Conservancy and Hydropower Engineering,Hohai University,Nanjing,Jiangsu 210098,China)
出处
《排灌机械工程学报》
EI
CSCD
北大核心
2018年第2期129-135,共7页
Journal of Drainage and Irrigation Machinery Engineering
基金
江苏高校优势学科建设工程项目
关键词
水利工程承包企业
信用评价
优选
灰色综合评价
改进灰色关联度
water conservancy engineering contracting enterprises
credit evaluation
optimization
grey comprehensive evaluation
improved grey relational degree