Efficiency Analysis for Engineering Applications

通过对数据包络分析（DEA）效率评价的几种模型和方法的研究，探讨了工程领域中的无效率概念。提出了不确定环境下基于遗传算法的随机评价方法、多视角下合理评价的博弈分析方法、网络型或两阶段DEA模型的总体效率和部门效率分析方法。此外，统计方法，如设计的实验分析，结合了无效的概念，已被提出来评估的基本功率和检测过程异常。

We considered the several models and approaches of efficiency evaluation by data envelopment analysis (DEA) to explore the concept of inefficiency into engineering fields. We have proposed the stochastic evaluation approach using genetic algorithm under uncertain environment, game theoretical analysis for reasonable evaluation under multiple perspectives, and the analysis of overall and divisional efficiencies for network or two-stage DEA model. Also, the statistical method such as design of experiment analysis incorporating the concept of inefficiency has been proposed to evaluate the essential power and to detect the process abnormality.