فهرست مطالب نقی شجاع

The purpose of this research is to provide a model for evaluating the performance of bank branches using the network coverage analysis model using fuzzy data. In this research, an attempt was made to use a model based on the traditional model of data envelopment analysis, taking into account factors such as the network nature and internal relationships of each decision-making unit, undesirable output, non-optional input, and the variables having a fuzzy nature. which is more consistent with the actual conditions related to the decision-making units and calculates the efficiency in a more accurate way.After presenting the research model, first, based on the studies conducted in the past researches and field studies and obtaining opinions from experts in this industry, indicators were considered as input and output. After identifying the indicators, fuzzy Delphi method was used for initial screening of the indicators. In the following, confirmatory factor analysis technique was used to finalize the screened indicators. At the end of the research, the developed model was solved using the data collected from the studied branches, by Gams software and with the alpha cutting approach. The results indicate that among the 34 investigated branches, 8 are efficient and 26 are ineffective.

The issue of efficiency evaluation is one of the most important challenges facing managers in the dynamic and vital banking industry. Due to the very important and fundamental role of banks in most economic activities, the study of bank efficiency has a special place. Models based on data envelopment analysis had wide applications in the field of measuring and evaluating the efficiency of banks. In this study, we tried to add other assumptions to the traditional model of data envelopment analysis, using a model that is more consistent with the real conditions related to decision-making units and calculates the efficiency more accurately. In designing the data envelopment analysis model in the present study, attention has been paid to the networking and internal relations of each decision-making unit, undesirable output, involuntary input and the fuzzy nature of the variables. After developing the model with the mentioned assumptions, first, based on reviewing previous studies as well as field studies and obtaining opinions from industry experts, indicators considered as input and output. After identifying the indicators, fuzzy Delphi method used for initial screening of the identified indicators from the research literature. After the initial approval of the indices, the indices analyzed using the confirmatory factor analysis technique. Finally, the research model solved using data collected by GAMS software and with alpha-cutting approach. The results show that out of 38 branches examined, 8 branches are efficient and another 30 branches are inefficient.

The amount and type of resource allocation and adoption of necessary strategies to effectively provide emergency measures, given the vital role of these centers in the health system, and the ability of these centers to respond effectively to emergency calls is an important element in providing patients' health. Find the most optimal location of emergencies according to the interaction between factors, environmental constraints and different behavioral characteristics of different factors assumed in the problem. In terms of practical and descriptive purpose, with the explanatory modeling approach, which uses expert opinion polls in presenting the model and in implementing the model, which is based on the application of metaherstical algorithm. Combined objective and subjective data Factor and environmental variables are modeled through a combined approach of factor-based simulation and metaheuristic algorithm. The initial time to navigate an initial structure for 40 accident hotspots and 5 stations was 7860, which after genetic optimization and the production of a new list, as well as the jump of ambulances from one station to another, the results reached a number between 2700 and 4000. Using this type of optimization can help speed up activities and reduce costs. Due to the unequal traffic of the points, the time of arrival of the ambulance to the accident hotspots will not be equal, so by changing the deployment points, according to the conditions and specializing the characteristics of ambulances and accident hotspots and combining the list of points, the total travel time can be Reduced accident hotspo

Today, sustainable activities are essential for maintaining environmental sustainability, and have attracted a significant part of the environmental economy. The occurrence of environmental pollution in the industry and its dissemination throughout the supply chain tend to overcome sustainability. The purpose of this paper is to identify environmental indicators that affect the sustainable supply chain in the cement industry and rank the chain of the industry in such a way as to prevent the occurrence of Prevention.

For this purpose, factor analysis and fuzzy vikor decision making technique have been used.

Effective indicators are identified and explained in four levels of sustainability, strategic, process and operational. Then, according to the determined indicators of environmental performance of the sustainable supply chain, 42 factories listed on Tehran stock exchange ranked. The results of the implementation of the model show that the stability level has the highest correlation with the current variable supply chain performance and this correlation is 44%. Operating surface weight was 40%, the strategic level was 23% and the process level was 12%.

The results show that sustainability indices in the sustainable supply chain of the cement industry are more important in preventing the occurrence of environmental Prevention. And the sustainable supply chain of the Ilam factory has been ranked in the first rank and supply chain of Bagher Factory based on environmental indicators.

The main goal of the present study is to evaluate the total energy productivity and the effective factors on 134 manufacturing industries in Iran with a four digit code and also ISIC international classification among 1385 to 1394. To do this, with data envelopment analysis and Malmquist method the technical, technological efficiency and the total energy productivity are calculated on the manufacturing industries in Iran. And then by fixed effects method and generalized method of moments  (GMM),the effect factors on the total Energy Productivity was calculated. The results of the model showed that the total Manufacturing Industries experiences a technological positive growth, but some have been technically efficient. In all, the findings showed the growth of the total energy productivity in the manufacturing industries. The findings based on the model showed that variables such as skills, information communication technologies (ICT), research and development, physical capital and machinery and equipment , export and time are meaningful effect and just variable education is meaningless effect on the total energy productivity. Based on the results, reviewing the work style, improving managerial skills ,Government subsidized support of production and investment, imports tariff reduction of capital equipment and machinery of the industries with less energy consumption is recommended.

The purpose of this paper is to present an appropriate model of data envelopment analysis with a network structure for evaluating the sustainability of the supply chain of cement companies present in the Iranian Stock Exchange during 2014-2015 and determine their productivity based on the Malmquist index. This model attempts to introduce sustainability criteria in the supply network with regard to quantitative and qualitative constraints as well as undesirable outputs and Through their measure of supply chain, results are more consistent with reality. Overall, the results indicate a decline in the total productivity of these companies; meanwhile, only 7 companies have maintained their performance and other companies have had a performance fluctuation.

Today, business and information technology are two integral parts, as it seems impossible to distinguish between the two in organizations. Information systems are new management tools that help organizations achieve their business goals. Therefore, communities and organizations, provided that they are able to develop knowledge in the field of information and communication technologies can hope for their development. To this end, organizations are planning to enter different digital arenas and evaluation of e-readiness for measuring their level of success is of particular importance. Determining the ability to accept, use and apply ICT and its related applications within and outside organizations is one of the issues that is important for organizations. In this research, we tried to present dimensions and components of the e-readiness to accept the e-commerce by investigating the existing models and considering the strengths and weaknesses of either of them. For this purpose, firstly, the proposed models for evaluating the e-readiness have been examined. Then, applying the multi-disciplinary method, a new classification of dimensions and components is presented. To determine the components, the Delphi panel has been developed and finalized by the experts and economists of the e-commerce field in four stages. Finally, the model developed for the small and medium sized industries of the industrial city of Shamsabad, Tehran, has been simulated through dynamic analysis. Key words: E-Readiness Assessment, E-Commerce, Dynamic Simulation, Small and Medium Sized Industries.

The purpose of this paper is to present a new model of data envelopment analysis with network structure to evaluate the performance of Tehran cement companies. For this purpose, cement companies listed on the stock exchange during the years 93-95 were evaluated. The results showed that the new model can evaluate the performance of these factories - which have a network structure and include multiple indicators - and, in addition to commonly used financial and technical indicators, to consider undesirable outcomes and sustainability criteria in the supply network. Meanwhile, the mindset of decision makers about the preferential importance of some indicators relative to each other is also considered in the form of weight constraints to bring the efficiency closer to the real value. According to the results, the factories are divided into two categories: efficient and inefficient. Based on this new model, only 7 cement supply companies have been able to achieve efficiency within the three surveyed periods of the 42 listed companies.

The aim of this study was to investigate and analyze the performance of 13 hospitals in Semnan province using data envelopment analysis (DEA) technique.
In this research, dynamic linear programming was used to measure the performance of units under the supervision of medical sciences, including hospitals and health centers. For evaluating the performance of hospitals in Semnan province, input and output indices of each hospital, their values in the center and the information of each hospital were available. GAMs software was also used to solve the dynamic model obtained in this paper.
By solving mathematical models for each hospital, the efficiency of the hospitals has been achieved, and then the efficient and inefficient units have been identified. If each hospital was inadequate, a suitable model was given to the hospital. Finally, a ranking methodology was used to distinguish between efficient hospitals. Hospitals 2, 3, 6, 7, 8, 12 and 13 were known as efficient units for the whole of these three years, and hospitals 1, 4, 5, 9, 10, and 11 were known as inefficient units.
With the implementation of this research, it is possible to introduce the functional models to the top managers of the health sector, providing more accurate planning for the development of capacity for health services and saving resources.

Data Envelopment Analysis (DEA) has two fundamental approaches for assessing the efficiency with different characteristics; radial and non-radial models. This paper is concerned the non-radial model of Russell which is a non linear model. Conventional DEA for a large dataset with many inputs/outputs would require huge computer resources in terms of memory and CPU time. Artificial Neural Network (ANN) is one of the most popular techniques for non linear models and for measuring the relative efficiency of a large dataset with many inputs/ outputs. Also in the last decade researches focused on efficiency evaluation via DEA as well as using ANN. In this paper we will estimate the input excesses and the output shortfalls in addition to efficiency of Decision Making Units (DMUs) in Russell model through ANN. The proposed integrated approach is applied to an actual Iranian bank set; the result indicates that it yields a satisfactory solution. works.

Given that the mission of Research Department of all universities and research institutions is to write and edit the research activities and develop or produce new sciences and change it into new technology, the evaluation of their research performance is very important. In this paper, the performance of the research department in selected branches of Islamic Azad University is measured and compared in 3 periods during 2010-2013 by using without input model of DEA. So, 5 important research indicators are determined and considered based on DEMATEL technique. The Performance of the branches are calculated by a without input model of DEA and GAMS software and then ranked by Anderson-Peterson ranking method. During the first period, 4 branches including Takestan, Karaj, Firouzkouh and Varamin are efficient. During the second period, 5 branches Parand, Takestan, Roudehen, Karaj and Firouzkouh are efficient and at last, 4 branches are highly efficient during third period, naming Parand, Takestan, Qazvin and Firouzkouh.

One way to rank DMUs in DEA is the cross efficiency method. In this method, the efficiency of each DMU is calculated by other DMUs optimum weights, which makes the ranking more acceptable for managers. Existing alternative optimum weights in cross efficiency method lead to several ranks for DMUs. Several secondary goals have introduced to avoid this problem, till now. In this paper, a new model is presented, that would be satisfying and acceptable for all DMUs. Therefore, by solving this model, the optimum weights are agreeable and fairy for DMUs.

Performance evaluation health houses of Firouzkouh City and consideration of their efficiency، is the main purpose of this study and it can help improving the efficiency of health houses and determining appropriate strategies and programs to advancement and development of these goals. In this study، we have used the point of views of the experts and professors of operation article and we studied the previous investigations to evaluate the performance of health houses. So، we determined 2 important inputs and 3 outputs from March 2012 to March 2013. Then we evaluated their efficiency by CCR model and found that 5 heath houses among these 18 health houses obtained number 1 in efficiency houses. Finally we ranked the houses based on the efficiency by AP-CCR. Finding showed that Arjomand، Mozdaran، and Jeliz Jand health houses allocated to the first three points respectively.