Performance Evaluation of Universities and Colleges based on Method of Principal Component Analysis and Data Envelopment Analysis

2019 ◽  
Author(s):  
Yan Xia ◽  
Xinlin Wu ◽  
Hui Feng
Keyword(s):  
Principal Component Analysis ◽  
Performance Evaluation ◽  
Data Envelopment Analysis ◽  
Principal Component ◽  
Component Analysis ◽  
Data Envelopment ◽  
Universities And Colleges

scholarly journals INTERNAL BENCHMARKING IN RETAILING WITH DEA AND GIS: THE CASE OF A LOYALTY-ORIENTED SUPERMARKET CHAIN

2020 ◽  
Vol 21 (4) ◽  
pp. 1035-1057
Author(s):  
Amparo Baviera-Puig ◽  
Tomás Baviera ◽  
Juan Buitrago-Vera ◽  
Carmen Escribá-Pérez
Keyword(s):  
Principal Component Analysis ◽  
Data Envelopment Analysis ◽  
Principal Component ◽  
Component Analysis ◽  
Data Envelopment ◽  
Classification Analysis ◽  
On Demand ◽  
Relative Measure ◽  
Trade Area ◽  
Internal Benchmarking

Data Envelopment Analysis (DEA) is a relative measure of efficiency applied to a set of decision units and is being used more and more frequently in the supermarket sector. Nonetheless, given how strongly the sector’s financials depend on demand, companies need to combine this measurement with trade area information to best manage corporate efficiency. In this paper, the proposal consists of integrating DEA with a clearly articulated, structural typology so that supermarkets, based on their particular characteristics, can determine which variables are most critical for improving their efficiency. This methodology has been validated in the case of one of Spain’s five largest supermarket chains. A principal component analysis and a classification analysis were carried out on a series of internal management variables from 61 locations for which DEA had been used to calculate efficiency and to which multiple trade area variables were added using GIS. Some of them are related to the loyalty scheme membership programme. These latter variables described the implantation of the loyalty scheme member programme and were revealed as key elements for the efficiency of the supermarket. This methodology provides marketing profiles that are more adapted to local circumstances, thus allowing companies to set better internal benchmarking objectives.

A Model of Aircraft Support Concept Evaluation Based on DEA and PCA

2018 ◽  
Vol 6 (6) ◽  
pp. 563-576 ◽  
Author(s):  
Bin Lin ◽  
Dong Song ◽  
Zhiyue Liu
Keyword(s):  
Principal Component Analysis ◽  
Data Envelopment Analysis ◽  
Manufacturing Industry ◽  
Principal Component ◽  
Component Analysis ◽  
Data Envelopment ◽  
Proposed Model ◽  
Concept Evaluation ◽  
Equipment Manufacturing ◽  
Complex Equipment

Abstract With the vigorous development of equipment manufacturing industry in China, higher requirements to the equipment supportability are put forward. How to evaluate the supportability of equipments (especially the aviation equipment-aircraft) objectively and correctly is the problem to be solved in the development of aviation equipments construction, demonstration and battle application. Aimed at the needs of the supportability analysis of complex equipment systems-aircraft, a model of aircraft support concept evaluation based on DEA (data envelopment analysis) and PCA (principal component analysis) is proposed. The model is used to evaluate a certain aircraft support concept. The process and the results of evaluation show that proposed model is feasible and effective. The model is suitable for advanced aircraft support concept evaluation. The feasibility and effectiveness of the proposed model is verified by the analysis of the evaluation results. This method is applicable to the evaluation of aircraft support concepts.

Green-Efficiency Assessment of Chinese Industry Based on Principal Component Analysis and Super-Efficiency Data Envelopment Analysis

2012 ◽  
Vol 490-495 ◽  
pp. 2264-2268 ◽  
Author(s):  
Rui Jie Liu ◽  
Zhi Hui Zhang
Keyword(s):  
Principal Component Analysis ◽  
Data Envelopment Analysis ◽  
Industrial Development ◽  
Principal Component ◽  
Component Analysis ◽  
Data Envelopment ◽  
Super Efficiency ◽  
Chinese Industry ◽  
Year 2000 ◽  
Efficiency Data

Industry is playing an important role in national economy, the efficiency and developing trend of which is widely being paid attention to. However, severe environmental problems always emerge along with rapid industrial development at the same time. Based on the method integrating Principal Component Analysis and Super-efficiency Data Envelopment Analysis, this article introduces environmental factors into the system to evaluate Chinese industrial green-efficiency of year 2000~2008, indicating the current major problems which hinder coordinated economic-environmental development of Chinese industry, and putting forward the improving direction.

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