An Improvement Method of Power Energy Utilization Rate Based on DEA Model The operation of electric power industry is closely linked to the smooth development of society, so the study on the using efficiency of power resources is significant. Based on the study sample, the data from 2011 to 2018, this paper analyzes the annual using efficiency of power resources based on DEA model, obtains the slack variable values of input and output, calculates the projection values of invalid variables and gets that the amount of power resources used in power industry is relatively higher. This theory avoids the research on the cost problem of each investment, and completely transforms multiinput and multiproduction into fractional problem, so that applying DEA to measure using efficiency can combine input with production, and evaluation indicators finally obtained are more comprehensive and representative. It can be observed from the analysis results that the using efficiency of electrical energy also significantly affects the using efficiency of power resources, so improving the using methods and making all resources allocated relatively optimal can maximize the output, in order to make the using efficiency of power resources reach the maximum value.

QualityOriented Network DEA Model for the Research Efficiency of Philippine Universities In response to the Philippines education systemu0027s development plan in strengthening the research culture of the different higher education institutions, this study was conducted to assess the research efficiency of 18 research universities in the country. Standard Data Envelopment Analysis (DEA) models, have been used in previous researches to measure the relative efficiency of research performance of universities with quantityoriented indicators inputs and outputs. This study proposed the use of a network DEA (NDEA) model considering quality indicators in assessing the efficiency of the research performance of universities. NDEA allows the measurement of efficiency per stage of a process. The main finding is that the standard DEA tends to exaggerate the research efficiency compared to that of NDEA. The use of qualityoriented publication indicator also revealed that the use of quantityoriented indicators alone exaggerates the performance of the universities as it is mainly based on the number of researches produced, not considering the impact or quality of each research. Some of the topperforming universities ranked lower with the use of quantityoriented indicators.