Model development fir evaluation of process inefficiency and optimization

我们研究了在社会系统和生产系统中识别过程低效的评估和优化方法。不同情况下DEA方法的发展(1)我们展示了非效率和乘子界的分解性质。(2)我们发展了上下文相关的DEA，并引入了基于松弛的效率度量，提供了适当的效率评价和改进目标。(3)我们发展了DEA模型来评价供应链绩效的效率。(4)我们证明了DEA可以有效地应用于多目标调度的Pareto评价。统计方法的无效性识别模型的发展(1)将无效性的概念引入到统计方法中，考虑了无效性识别模型来定量评价无效性。(2)建立了无效性回归模型。采用随机前沿分析方法，建立了非效率因素下的析因实验模型，并对DEA方法的其他应用进行了研究，如技术进步与绩效的前沿转移指标、竞争环境下的绩效指标、采用正交表的变量选择方案等。这些结果将在使用实际数据验证其有效性后公布。

We have studied the evaluation and optimization methods to identify the process inefficiency in social systems and production systems.1. Development of DEA method for various circumstances(1) We have shown the properties on the decomposition of inefficiency and multiplier bounds.(2) We have developed the context-dependent DEA and introduced the slack based measure of efficiency, which provide the appropriate efficiency evaluation and goal for improvement.(3) We have developed the DEA model to evaluate the efficiency of supply chain performance.(4) We have shown that DEA can be effectively applied to Pareto evaluation for multiobjective scheduling.2. Development of inefficiency identification model for statistical method(1) We have considered the inefficiency identification model to evaluate the quantitative inefficiency by introducing the concept of inefficiency into statistical method.(2) We have developed the regression model subject to inefficiency. The efficient algorithm to identify the inefficiency gap for multi regression model to deal with multiple input factors.(3) As an extension to the other statistical method, we have developed the factorial experiment model subject to inefficiency by adopting stochastic frontier analysis.Other works on the application of DEA method have been studied, such as the index for frontier shift to find the progress of technology as well as performance, the performance index under competitive environment, variable selection scheme by using orthogonal layout. These results will be published after the verification of their effectiveness by using practical data.