摘要
企业内部复杂的结构特征是影响企业整体绩效水平的重要因素,为了深入分析并有效测算具有平行链式结构的企业绩效水平,本文引入了支持向量机(SVM)分类器与数据包络分析(DEA)的集成模型对企业内部各个平行部门进行分类和绩效水平测算。首先,将企业内部各部门对应的DEA效率水平作为分类标准及训练样本;之后,通过SVM分类器依据分类标准对部门进行分类;最后,将部门分类的重要程度信息通过权值集成于平行链式DEA模型中,从而获得了具有平行链式结构的企业对应的整体绩效水平。通过算例实证分析,验证了本文提出的模型与方法的实用性、有效性及可操作性,并为具有平行结构的企业绩效评价提供了可参考的分析工具。
The complex structure in enterprises has a pivotal effect on enterprise overall performance. In this paper, performance evaluation for enterprises with parallel structure is studied. An integrated model with support vector machine （SVM） classifier and data envelopment analysis （DEA） is proposed. First, the DEA efficiency for each internal department in enterprises is analyzed and used as classification criterion and training data. Then, SVM classifier is applied to classify all departments based on class criterion. Finally, the classification information is integrated into the parallel DEA models so that the overall performance efficiency for enterprises with parallel structure is figured out. With an empirical analysis, the practicality, effectiveness, and operability are testified by using the integrated model. This model provides a referential analytic tool for measuring the enterprises with parallel structure.
出处
《工业工程》
北大核心
2013年第4期56-61,共6页
Industrial Engineering Journal
基金
国家自然科学基金资助项目(71071069)
教育部人文社会科学研究青年基金资助项目(11YJC630100)
中央高校基本科研业务费专项资金资助项目(11CX04031B)
