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Electricity demand is rising rapidly due to the expansion of economy. This results in an increase of demand for electricity generation such as power plant fossil, hydro and nuclear. Every form of electricity generation has its strength and weakness. For example, fossil fuel power plants burn a significant amount of coal, oil or gas to produce electricity and produce large amount of greenhouse gas...
This study proposed a novel hybrid mechanism for corporate operating assessment and then establishes a fusion architecture that integrates two-level data envelopment analysis (two-level DEA), incremental filter wrapper feature selection technique (IFWFS), and fuzzy support vector machine (FSVM) for performance forecasting. The two-level DEA is executed to deal with the problem encountered by one-level...
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...
The Rural Appliance Rebate Program (RAR) starting at the end of 2010 was part of the efforts of Chinese government to boost up domestic consumption during global economic downturn. While the RAR program's positive effects on macro economics have been well documented, the impacts of such a governmental subsidy program on the companies and the industry are unknown. This paper investigates whether the...
This paper studies a sensitivity analysis of the software project risk assessment model based on data envelopment analysis. Some sufficient conditions and necessary conditions are provided which can hold the efficiency of decision making units, when positive index data and reverse index data of decision making units are changed simultaneously. Finally, a numerical example is presented to give an illustration...
A precise measure of corporates' operating performance play critical role in it achieving sustainable development during turbulent financial markets, because operating performance is a suitable reflection of corporate management, which has been widely recognized as the main cause of financial troubles. However, most proportion of previous works take return on assets or return on investment as a proxy...
Data envelopment analysis (DEA) have been widely applied in the energy efficiency evaluation of process systems. However, the DEA has many different kinds of models and characteristics, which leads to different discrimination power in different application fields. Particularly in efficiency evaluation of petrochemical systems, the proper choice of DEA model makes great difference in improving the...
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 choice of spares varieties is a major aspect for the continuous operation of equipment. With the cost of purchases and reserves getting much higher and the equipment becoming more complex, whether the component is classified as spare or not becomes particularly important. Data envelopment analysis (DEA) is an effective method to evaluate the relative efficiency of the decision-making units (DMUs)...
This paper focuses on the supplier selection problem and the subsequent order allocation, extending an approach originally proposed by some of the authors for supplier ranking under uncertainty. The novel method integrates the cross-efficiency Data Envelopment Analysis and the fuzzy set theory to obtain a ranking of suppliers under nondeterministic evaluation criteria. Subsequently, a fuzzy integer...
In real applications, there are situations that the performance of decision making units (DMUs) should be evaluated while imprecise and integer-valued inputs and/or outputs present. For this purpose, in the current paper, models and approaches are proposed to evaluate the efficiency of DMUs where fuzzy and integer-valued data exist. To illustrate, methods are suggested to solve some integer-valued...
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...
The demand for better hospital performance and medical services has significantly increased during the recent years with the improvement in the living standards. This paper adopts the non-parametric technique of data envelopment analysis (DEA) to handle the feature of multiple inputs and outputs in the healthcare industry and investigates the hospital performance. The empirical study of 19 hospitals...
This paper analyzes the input-output model based on data envelopment analysis (DEA), puts forward an input-output model of the vessel traffic services (VTS) based on DEA and builds the input and output index of this model combining with the demand characteristics of the running VTS' efficiency assessment. Combining with an instance of VTS, this paper analyzes the algorithm of the proposed model and...
In view of the growing demand for energy in Iran, the efficient locations and development of renewable energy sources has become a major issue. The importance of prioritizing of the wind turbine site is being emphasized to maximize the productivity, and is a primary and important stage for decision makers in many countries. This research aims to prioritize five cities of Iranshahr, Chabahar, Zabol,...
Performance evaluation plays an important role in determining faults and difficulties of supply chain management as well as attempting to increase capabilities and improve activities. Data envelopment analysis (DEA), as a non-parametric method, has been one of the most important and significant management tools for measuring output or efficiency. In this paper, we propose a method to utilize balanced...
Finding and classifying all efficient solutions for a Bi-Objective Integer Linear Programming (BOILP) problem is one of the controversial issues in Multi-Criteria Decision Making problems. The main aim of this study is to utilize the well-known Data Envelopment Analysis (DEA) methodology to tackle this issue. Toward this end, we first state some propositions to clarify the relationships between the...
The efficiency and total factor productivity for 22 development zones in Shanghai were researched by data envelopment analysis method. Based on this, the efficiency of resource allocation for Shanghai Development Zones was analyzed. It was thought that: the production efficiency of the Development Zones in Shanghai comes mainly from scale efficiency. There is the problem of focusing on scale, paying...
On the basis of traditional data envelopment analysis model, by introducing the ideal decision making unit, the improved data envelopment analysis model is established to determine a set of common weights; then according to them , efficiency index of each black start plan is calculated to rank the black start plans. Finally, it is verified that this method is effective and advantageous through the...
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