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This paper uses the data envelopment analysis method (DEA) to compare the efficiency of state-owned commercial banks, joint-stock commercial banks and urban commercial banks with 16 listed commercial banks in 2016, and points out the problems of commercial banks in China, and then put forward some suggestions.
Additive manufacturing (AM) has become popular in various fields, not only for industrial use, but also for personal use due to its key advantages in almost unlimited design freedom and material efficiency. Manufacturers in the industry recognize AM as a promising method in direct digital manufacturing for their design, research and development, and production processes. However, the applicability...
Most DEA models were initially considered only for crisp desirable inputs and outputs, but in the real world data have imprecise value, fuzzy concept is too important as imprecise and undesirable data. Moreover, the decision making units may have been some inputs and outputs index such undesirable data. Therefore, in this study, we introduce a method to evaluate revenue efficiency of DMUs when the...
The hybrid Analytic Hierarchy Process-Fuzzy Data Envelopment Analysis is commonly used in solving Multiple Criteria Decision Making problems to cater for the uncertainty and subjectivity of human judgments. However, the use of Z-number in hybrid techniques is a new research area. Hence, the study on the impact and feasibility of Z-number extension has not been fully investigated. The main objective...
This paper analyses the advantage of Data Envelopment Analysis (DEA) in the “relative inferiority” evaluation of the same Decision-Making Unit (DMU). It is expounded that the benefit evaluation model can't achieve the whole sorting of DMU and can't guide the DMU to improve the insufficiency in the information. We puts forward the decision making model of two-stage DEA evaluation with the ideal decision...
Measuring the performance of a production system has been an important task in management for purposes of control, planning, etc. One technique widely applied to measure the relative efficiency of a set of production systems, or decision making units (DMUs), which utilize the same inputs to produce the same outputs, is data envelopment analysis (DEA). Conventionally, the system is treated as a black...
Data envelopment analysis (DEA) is a mathematical programming method in Operations Research that can be used to distinguish between efficient and inefficient decision making units (DMUs). However, the conventional DEA models do not have the ability to rank the efficient DMUs. The super-efficiency models in DEA are used for ranking the efficient DMUs. This paper proposes a non-radial super-efficiency...
In order to solve the complexity of the evaluation process of the urban water supply performance and the drawbacks that data envelopment analysis (DEA) can not be re-sort for effective decision making units, a supper efficiency-data envelopment analysis (SE-DEA) model based comprehensive decision-making scheme for the urban water supply performance is established and a set of options to reflect the...
The number of listed companies in the ceramic industry in China stock market is very small, but represents the development situation of the whole industry. Evaluation on the performance efficiency of the listed companies is very important. Traditional AHP and DEA evaluation methods face problems of subjectivity or lack of human factors. A combination method which integrates advantages of the two models...
The objective of this paper is to address a typical efficiency analysis problem, in which interval inputs/outputs are considered. This paper firstly discusses the main weakness of the existing model in dealing with imprecise data, that different DMUs (decision making units) are rated under different production frontier, which makes the efficiency comparisons concise and meaningless. In order to evaluate...
Coordinated development of resources, environment, economy and society in Henan province during the years of 1990-2007 as an example is made by empirical research. Conclusions such as physical capital investment and energy are important input factors, the utilization of number of employed persons is low, and inputs of resources and the environment made inadequate contribution to the social system...
During recent years, electronic business industry has been developed rapidly. Some companies in the industry have been listed on the security market overseas or in the domestic. They have achieved excellent performance in the stock market, and given great value returns to the shareholders. Chinese economy is experiencing an important period of transforming industrial and economic structures. More...
Data envelopment analysis (DEA) measures the relative efficiency of decision making units (DMUs) with multiple inputs and multiple outputs. DEA-based Malmquist productivity index measures the productivity change over time. The Malmquist productivity index based on DEA can be decomposed into two components: efficiency change index and technical change index. Through utilizing the principle of isoquant,...
The most common method of tender evaluation for engineering projects was traditional comprehensive scoring, and analytic hierarchy process or fuzzy comprehensive judgment was also used for tender evaluation, but all these methods had the defect of having highly subjectivity. Although the traditional DEA model can exclude bias caused by human factors, it can't distinguish efficient decision-making...
The data in traditional DEA model are limited to crisp inputs and outputs, which cannot be precisely obtained in many production processes or social activities. At the same time, the traditional DEA model can not evaluate by using some given reference units. This paper attempts to extend the traditional DEA model and establishes a fuzzy DEA model based on sample data evaluation. To establish this...
Data envelopment analysis (DEA) is a non-parametric technique based on linear programming in which multiple inputs and outputs are simultaneously used in order to measure technical efficiency. All of the research efforts have used DEA approach as a tool for evaluating what has been occurred up to the present time. However, due to the time lag, it is usually too late for the Decision Making Units (DMUs)...
An evaluation model of Gray Relational Analysis with preferences of decision makers based on Characteristics-AHP is built. This model makes fully use of the advantage of gray theory on the fields of performance evaluation for small sample and poor data. Considering preference degree of decision-makers not only makes evaluation result objective and fairness, but also reflects decision-making fact....
To achieve food safety, risk control in food supply chain is required. Supplier evaluation and selection is one important process for food supply chain. This paper establishes a system based on risk control and integrates the DEA-based objective method and the ANP-based subjective method into a new ANP&DEA-based decision model for supplier evaluation. The paper explains the mathematical analysis...
The problem of how to allocate a fixed cost or resource among a set of competing entities in an equitable way is a considerably important issue. Based on data envelopment analysis (DEA), the current paper proposes a new method for allocating fixed costs and resources to all decision making units (DMUs) respectively, in such a way that the relative efficiencies of DMUs remain unchanged and the distribution...
A performance evaluation model based on DEA with worst decision-making units is constructed, which meets the need of the performance evaluation of systems engineering with a number of similar samples, multi-input and multi-output. It achieves the goal of making total order for the objective evaluation of the decision-making assessment. Potential to influence decision-making units of the system point...
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