Data Envelopment Analyses
Ehsan Momeni; Farhad Hosseinzadeh Lotfi; Reza Farzipoor Saen
Abstract
Nowadays, sustainable development is the most important issue in the economic development of countries. To achieve sustainable development, countries must pay special attention to environmental aspects. Environmental aspect focuses on ecosystem stability and maintenance of ecologic functions. To make ...
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Nowadays, sustainable development is the most important issue in the economic development of countries. To achieve sustainable development, countries must pay special attention to environmental aspects. Environmental aspect focuses on ecosystem stability and maintenance of ecologic functions. To make countries more sustainable, Greenhouse Gas (GHG) emission should be reduced and controlled. Cap and trade approach is one of the most effective approaches in controlling GHG emissions. In the cap and trade approach, the total amount of emissions are decreased by reallocating emission permits to countries. The objective of this paper is to propose a centralized Data Envelopment Analysis (DEA) model to reallocate emission permits in the cap and trade system given countries’ efficiencies. Our model evaluates efficiencies of countries in the presence of discretionary and nondiscretionary inputs to reallocate emission permits. The fuzzy set considers uncertainties in parameters. Also, this paper determines the amount of emitted gases that can be reduced without reducing other outputs. A case study demonstrates the applicability of the proposed model. Sensitivity analysis is carried out to investigate the impact of parameters’ variations on results.
Data Envelopment Analyses
Sara Baqdadchi; Ghasem Tohidi
Abstract
Multi-attribute decision-making is a powerful and widely used method of solving decision-making problems and choosing the most desirable of the available options. Data envelopment analysis is a nonparametric method for calculating performance size. The basic drawback of conventional decision-making methods ...
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Multi-attribute decision-making is a powerful and widely used method of solving decision-making problems and choosing the most desirable of the available options. Data envelopment analysis is a nonparametric method for calculating performance size. The basic drawback of conventional decision-making methods is that they are not capable of taking into account decision-making priorities and preferences as well as risk-taking or risk aversion. On the other hand, in some cases, it is difficult to determine the exact amount of data and the results are qualitative and quantitative. The weighted average method is classified as one of the decision-making methods that are capable of considering the priorities and subjective evaluations of the decision-maker in the decision-making process. This paper deals with one of the ranking methods in data envelopment analysis called cross-efficiency and tries to consider the decision-makers' risk-taking and risk-aversion in consolidating cross-performance matrix members as well as in the cross-efficiency integration process.
Data Envelopment Analyses
Javd Gerami
Abstract
One of the most important issues in data envelopment analysis is the determination of the return to scale class of decision-making units. One of the structures of decision-making units is the two-stage network structure. In this research, we obtain the return to scale class of decision-making units with ...
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One of the most important issues in data envelopment analysis is the determination of the return to scale class of decision-making units. One of the structures of decision-making units is the two-stage network structure. In this research, we obtain the return to scale class of decision-making units with two strategies. The first strategy is when each stage performs independently, and the input and output of each stage is important for it, the return to scale class is assigned corresponding to each stage and the overall process with this strategy. In the other case, we define the two-stage network structure as the leader and follower model, and the output of the first step is considered as the input of the second stage, in which case the return to scale class is determined based on the output ratio of each stage to the input of that stage. The second stage output to the first stage input ratio is used to determine the return to scale class of the final process. Determine the relationship between the return to scale class and the first and second stages, and provide sufficient conditions to determine the return to scale class. Finally, we illustrate the proposed approach with a numerical example.
Data Envelopment Analyses
Alireza Hajihosseini; Fatemeh Hekmatpour
Abstract
Data envelopment analysis is an approach to measuring the relative performance of a set of homogeneous decision-making units. Congestion is also one of the important concepts in data envelopment analysis and economics. Numerous models and methods have been proposed to measure the congestion in an inaccurate ...
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Data envelopment analysis is an approach to measuring the relative performance of a set of homogeneous decision-making units. Congestion is also one of the important concepts in data envelopment analysis and economics. Numerous models and methods have been proposed to measure the congestion in an inaccurate environment. The purpose of this paper is to introduce a new approach to measuring congestion in data envelopment analysis so that the data are interval. In this paper, congestion recognition models are used based on comparing inputs with common weights and linear programming intervals and introduced for units with congestion, interval congestion. The proposed method is illustrated for interval data with examples
Data Envelopment Analyses
Seyed Hamzeh Mirzaei
Abstract
One of the problems of based models on data envelopment analysis (DEA) for ranking preference voting systems is that it allows each alternative have its own weight vector. Therefore, alternatives are evaluated with different weight vectors. In this study, we propose a model based on fuzzy logic to solve ...
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One of the problems of based models on data envelopment analysis (DEA) for ranking preference voting systems is that it allows each alternative have its own weight vector. Therefore, alternatives are evaluated with different weight vectors. In this study, we propose a model based on fuzzy logic to solve the weaknesses of the previous models. This model is based on the solving of multi-objective programming models with the help of fuzzy logic, in this way it providing a vector of common weights, and finally, we can rank the alternatives.
Fuzzy Optimization
Shokouh Sargolzaei; Faranak Hosseinzadeh Saljooghi; Hadi Aghayari
Abstract
Since much of human reasoning is based on imprecise, vague and subjective values, most of the decision-making processing, in reality, requires handling and evaluation of fuzzy numbers. Ranking fuzzy numbers are one of the very important research topics in fuzzy set theory because it is a base of decision-making ...
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Since much of human reasoning is based on imprecise, vague and subjective values, most of the decision-making processing, in reality, requires handling and evaluation of fuzzy numbers. Ranking fuzzy numbers are one of the very important research topics in fuzzy set theory because it is a base of decision-making in applications. Although so far, many methods for ranking of fuzzy numbers have been discussed broadly, most of them contained some shortcomings, such as the requirement of complicated calculations, inconstancy with human intuition and indiscrimination. In this paper, we introduce a new method by using the affine combination on the circumcenter. This method ranks various types of fuzzy numbers which include normal, generalized trapezoidal, and triangular fuzzy numbers along with crisp numbers with the particularity that crisp numbers are to be considered particular cases of fuzzy numbers. The advantages of the new proposed are that it can be applied for most of the defuzzification and the calculation is far simple and easy than previous methods. The effectiveness of the proposed method and its advantages is demonstrated by numerical examples, comprehensive comparing the different ranking method with this method and also its benefits will be illustrated by the numerical example, as well as a case study on supply chain management.
Data Envelopment Analyses
Hadis Drikvand; seyed esmaeel najafi
Abstract
Data envelopment analysis measures relative efficiency of DMUs with multiple inputs and outputs, the importance of identifying efficient and inefficient DMUs and organizing inefficient DMUs have led to paying more attention to key role of data envelopment analysis, Input and output data are not always ...
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Data envelopment analysis measures relative efficiency of DMUs with multiple inputs and outputs, the importance of identifying efficient and inefficient DMUs and organizing inefficient DMUs have led to paying more attention to key role of data envelopment analysis, Input and output data are not always desirable and there exist a number of undesirable data which affect the efficiency. In addition, uncertainty is undeniable feature of the real world. For this purpose, in this paper, it is attempted to approach the reality by considering undesirable and fuzzy data simultaneously. Traditional DEA divides DMUs into efficient and inefficient, it is not able to rank DMUs completely, therefore, optimistic cross efficiency method is utilized to face with this defect and then the proposed multi-objective model is solved as a single-objective one applying Torabi-Hassini method. Finally, to demonstrate the efficiency and effectiveness of the model, a numerical example is used and the findings are compered.
Data Envelopment Analyses
ehsan vaezi; ismail najafi
Abstract
In this paper, we identify the basic variables to build solar power plant using methods MCDM FOR Ranking in the country for the construction of solar power plant deal.THE topsis method Each of the numeric distance from the ideal option in terms of positive and negative attributes. Then, using data envelopment ...
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In this paper, we identify the basic variables to build solar power plant using methods MCDM FOR Ranking in the country for the construction of solar power plant deal.THE topsis method Each of the numeric distance from the ideal option in terms of positive and negative attributes. Then, using data envelopment analysis And using a multiple model CCR and according to the output topsis method As well as input variables every city in the country to assess relative Solar power plant construction or in other words the capacity to build solar power plant In each of the cities we compare the relative efficiency and obtains points.Revealing the efficient frontier are Pareto efficient cities for investment and the construction and operation of solar power offer. The results show Ahvaz city to take advantage of solar energy is the most talented.In this paper, we identify the basic variables to build solar power plant using methods MCDM FOR Ranking in the country for the construction of solar power plant deal.THE topsis method Each of the numeric distance from the ideal option in terms of positive and negative attributes.
Data Envelopment Analyses
farshad kaveh; hadi shirouyehzad; seyed mohammad arabzad
Abstract
With the constant change in information technology and current consumption patterns, the product cycle becomes shorter. Companies must have a complete range of fluent trends, and to develop < /span> new products that are designed to enhance the competitiveness of companies, create profitable business ...
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With the constant change in information technology and current consumption patterns, the product cycle becomes shorter. Companies must have a complete range of fluent trends, and to develop < /span> new products that are designed to enhance the competitiveness of companies, create profitable business activities. In the age of risky competition in the turbulent market, companies that do not have the research and development process on their products are doomed to fail. Research in development of products in order to study organizational processes, manufacturing methods, new methods of marketing and sales, the cost of sales should be done with concurrent engineering approach. In this study, using the ranking technique of data envelopment analysis, products of Goldaru company are studied and evaluated. Measuring the efficiency of products can be a surprisingly point for future research in order to reduce effective inputs on manufacturing and increasing output of products.