morteza shafiee

The increase in the number of tourists around the world has increased the necessity of planning for the promotion and development of tourism in order to minimize the environmental effects of tourism and maximize the social and economic benefits of tourism destinations. According to the current necessity, in this article, the identification and evaluation of the cultural performance of the ecotourism residences of Mazandaran province from the point of view of tourists has been discussed. The data of the present study is from the narratives related to the cultural strategies of the ecotourism centers of Mazandaran province in online social media. Narratives and data were obtained by searching tourism websites. In this article, the efficiency value of 39 ecotourism centers in Mazandaran province of Iran has been obtained with CCR input nature models and ranked with the Andersen-Petersen super-efficiency model. These ecotourism centers were evaluated with three entrances and three exits, and the inputs were the total land area of the ecotourist residence (square meters), the number of rooms in the ecotourism residence, and the maximum capacity of the ecotourism residence (persons). Also, the overall cleanliness of the ecotourism residence, the way of hosting the ecotourism residence personnel and staff, and the services of the ecotourism residence personnel and staff from the point of view of tourists were considered as the outputs of this study. The ranking of Decision-Making Units (DMUs) is also given. And finally, some solutions have been proposed to improve the situation of ineffective ecotourism resorts.

It is very important to choose an appropriate and efficient monitoring system to evaluate the performance of a bank’s financial distress, including the most important monitoring systems that have been proposed to evaluate the performance of a bank’s financial distress; The use of CAMELS monitoring system, which includes six indicators of capital adequacy, asset quality, management soundness, earning quality, liquidity, market risk sensitivity, so the purpose of this study is to evaluate the financial distress of banks based on CAMELS indicators. In this regard, 12 financial variables based on CAMELS indices have been used, which have been implemented on 17 banks listed on the Tehran Stock Exchange. The sample selected in the model fit includes two groups of healthy and financially distressed, which are separated based on the CAMELS index. The accuracy of both models has been investigated. The results indicate that the overall accuracy of the logistic regression model is higher than the Data Envelopment Analysis model in assessing financial distress. Also, the results of this study showed that CAMELS financial ratios can be a good assessor for banks’ financial distress.

The research aims to design a sustainable supply chain model to achieve world class with a fuzzy hybrid approach based on critical situation information systems. This research is developmental-applicative in terms of its purpose, and the method used is a combined method that includes historical method (gathering information) and survey method (questionnaire distribution). The statistical population of this research consists of experts in the handwoven carpet industry and professors in the field of world-class production. The sampling method is purposive and model fitting was done with Dematel techniques and interpretive structural model. Based on the literature, 15 indicators were identified, which are: lean production (elimination of redundant activities), cost of materials and transportation, reduction of time to reach the market and waiting, technology and machinery and software Design tools, supply chain agility, applying honest principles in hiring local people, increasing consumer awareness to consume sustainable products, focusing on social/community welfare, insurance and pension guarantee, creating strong legal facilities to take care of industries in times of Corona, compatible production processes With environment and green distribution, ISO 14001, reverse logistics and recycling, green packaging and distribution and creating sustainable procurement strategies. The results show that based on the designed interpretative structural model, the low-level components of applying honest principles in hiring local people, focusing on the social/personal welfare of employees and issuing, creating strong legal facilities in times of Corona and environmentally friendly production processes and Green distribution has the most influence on the whole model.

The sharp decrease in rainfall has reached the peak of drought conditions in Fars province, so that the discharge of all rivers in Fars province has decreased between 70 to 100 percent, and due to the limitation of renewable water resources, there is a need for optimal and sustainable use of existing water resources. All reservoirs of dams in Fars province are necessary.

The main purpose and methodology of this research is to design a mathematical planning model for the optimal allocation of water resources of selected dams in Fars province, in order to net advantage of the system on the planning horizon that issues such as time period, reliability level, course currents, number of dams and consider some scenarios. Accordingly, the objective function of the model seeks the maximum advantage obtained for dams based on the parameters set with three indices of scenario, dam and time period.

At first, this model was considered for 5 users (dams) with 4 different scenarios in 10 monthly time periods, in which case the value of the objective function reached 39863110. Then, in order to analyze the sensitivity of the results and show the change of the optimal answer depending on the dimensions of the problem, the model was implemented for 10 users (dams) with 8 different scenarios in 20 monthly time periods in which the value of the objective function reached 82944240. Therefore, with the increase of the dimensions of the problem, a significant increase in the amount of the objective function and the optimal allocation of water resources of the selected centuries occurs in Fars province. Therefore, due to water shortages and recent droughts in Fars province, it is necessary to pay attention to sustainable and equitable development in planning the allocation of water resources and taking into account various indicators simultaneously.

The present study aims to identify the cultural strategies of the ecotourism centers of Mazandaran province with an approach based on thematic analysis. This study is practical based on the purpose. The qualitative research approach and the statistical population included 137 narratives related to cultural strategies of Mazandaran province ecotourism centers in online social media. One hundred thirteen narratives were analyzed with the help of theoretical saturation and judgmental sampling. Narratives were manually coded by searching tourism websites and using a three-step open, central, and selective method, and then based on the SWOT method; different points were combined and shown in the form of a network of topics. The results indicate the identification of 10 organizing themes and 75 basic themes regarding the cultural strategies of the eco-tourism centers of Mazandaran province as comprehensive themes. Also, the results show that the cultural strategies of Mazandaran eco-tourism centers include a learning culture strategy, e-learning culture strategy, technology application culture strategy, creative tourism culture strategy, food tourism culture strategy, green culture strategy, social-cultural strategy, artistic, cultural strategy, economic, cultural strategy, and cultural marketing strategy.

One of the most complex decision-making problems of medical managers is evaluating the performance of hospitals. The problem starts from the fact that only the quantity is the basis of the decision. Designing a mathematical solution for the evaluation of qualitative components by choosing medical professional ethics, solves the evaluation gap in the therapeutic environment with qualitative components, which we have discussed in this research.

By combining 4 models of DEA, DEA and BSC simultaneously and the evaluation laboratory and decision test, efforts have been made to reach a standard model in a period of 8 months. The quantitative population is all the doctors of 37 private and public hospitals in Shiraz City, 378 people were selected as a sample.

The findings showed that the mean professional ethics in the education and growth sector was equal to 84.73%, in the internal processes sector it was equal to 92.09%, in the financial sector it was equal to 95.81% and finally in the service recipient sector it was equal to 100%. Also, hospitals 1, 3, 5, 8, 12, 13, 17, 21, 22, 23, 24, 25, 27, 28, 29, 30, 31, 32, 33, 35, 36 and 37 are efficient and others are ineffective.

In the evaluation, no significant difference was observed between public and private hospitals in respect of professional ethics. Also, the designed model showed that hospitals that are efficient will ultimately lead to an increase in the overall efficiency of the organizational system and better service to patients.

Choosing the right suppliers is the basis of a successful supply chain and a key factor for improving competitiveness. Therefore, the purpose of the present study is to investigate the quality and failure rate of the parts that provided by the suppliers. In doing so,  the evaluation approach based on the failure rate was used and the reliability of the suppliers was determined and their ranking was done. As a result, the research method used is applied in nature and its method is contextual-case. Moreover, for the purpose of a case study, the suppliers of seven separate supply chains of an electrical appliance manufacturing company in Shiraz were examined that each of the chains included eight suppliers. Besides, in order to evaluate and establish the supplier's reliability model based on the failure rate, a parallel system was used. Finally, by calculating the reliability, the failure rate of the supplier's manufactured product was obtained. The results showed that this failure rate is a suitable criterion for comparing the output quality or the products of suppliers. Thus, it is possible to rate the suppliers based on this obtained model.

There is a growing concern about the social and environmental impact of the food supply chain, and the food industry faces numerous challenges. This has created significant pressure from various stakeholders to enhance the sustainable performance of the life cycle of perishable products. In this study, we aim to assess the sustainability of the supply chain for perishable products in the food industry. After examining both external and internal factors and identifying a research gap, the structure of the present study involves a four-stage supply chain. Input and output variables were selected based on perishable products and the three dimensions of sustainability. To achieve this goal, we conducted field and library studies to identify and extract relevant input, output, and intermediary indicators for evaluating the relative efficiency of supply chains in various sectors. Subsequently, we examined the supply chain's efficiency and ranked the efficient units. Given the primary focus on perishable materials, our study involved 18 dairy and meat factories in Fars province as the statistical population. We utilized WinQSB software to analyze network downtime and to model and solve the data. The results highlight that the most significant challenges faced by the companies are in the supply sector. Based on these findings, we provide recommendations for companies to enhance their performance.

Television and satellite channels, in addition to other forms of social media, have facilitated the rapid and widespread transmission of foreign lifestyles, social relationships, culture, art, beliefs, and values to Iranian society. As a result, satellite networks with their diverse capabilities have become capable of affecting all aspects of human life, particularly altering the daily lives and lifestyle choices of people from all sectors of society, particularly the youth. Thus, the aim of this study is to evaluate the effectiveness of Persian-language satellite networks in shaping the lifestyles of young people and from the perspective of Bourdieu's indicators by means of the data envelopment analysis model.

The research method employed is case-driven and context-specific. In order to implement the model, a library study was initially conducted to evaluate the impact of TV and satellite networks on youth lifestyles according to Bourdieu's perspective. Based on the opinions of experts in the field, the input and output indices of the study were determined. To account for the non-deterministic nature of many indices, the Rough DEA model was used, which converts non-deterministic variables to intervals using the "α" level and results in an interval data envelopment analysis model. Using the MRA ranking method, the efficient intervals were ranked and compared. Then the efficiency of each evaluated network was determined through a sensitivity analysis performed at different "α" levels. Finally, each of the networks was ranked.

Based on the data collected and analyzed, the "Man o To" network was found to have the greatest influence on the lifestyles of young people. The "Persian BBC" network ranked second, followed by the "Nasim network" in third place, and finally, the "GEM" network placed last. These results suggest that there are significant differences in the impact of satellite networks on the lifestyles of young people, and that the "Man o To" network has been the most effective at shaping the lifestyle choices of this demographic.

Based on the research findings, it is recommended that the administrators of domestic Persian-language satellite media produce high-quality and appealing content in the fields of information, news, entertainment, and educational programming. This strategy will help boost the lifestyle indicators among the youth. Additionally, it is suggested that individuals with greater social capital and trust consume media resources from these aforementioned fields.

One of the important issues in the supply chain is the selection of reliable and efficient suppliers, which improves performance and competitive advantage. Therefore, the aim of this research is to implement two evaluation models based on failure rate and NDEA with the approach of choosing the right supplier in 7 separate supply chains of an electrical appliance manufacturing company in Shiraz. In this direction, a series-parallel system was used to evaluate based on the failure rate, which at the first level examines the reliability of the suppliers and at the second level examines the reliability of the devices required for the production of electrical appliances. And in order to calculate the efficiency of suppliers, the NDEA model was also used. The results showed that both presented approaches are suitable for evaluating the performance of the supply chain, because the performance rating of both models has high resolution.

It is very important to choose an efficient monitoring system to assess the financial distress of banks, therefore, one of the most important monitoring systems used to assess the financial distress of banks is the CAMELS monitoring system. Which includes six indicators; Capital adequacy, asset quality, management quality, revenue quality, liquidity, market risk sensitivity. Therefore, in this study, the criterion of financial helplessness of banks is CAMELS indicators. Initially, 17 banks listed on the Tehran Stock Exchange in the fiscal year 1399 were ranked and divided into healthy and helpless financial groups by CAMELS indicators. Then, models, Data Envelopment Analysis and logistic Regression were used to predict the financial distress of banks. Then, with the pairwise comparison test (T), the prediction accuracy of both models was investigated. In logistic regression method, binary model with ForwardlR method was used. And in data envelopment analysis method, SBM model with different application was used. The results showed that the overall accuracy of the logistic regression model is higher than the data envelopment analysis model in assessing financial distress and also the CAMELS monitoring system can be a good assessor for banks' financial distress.

It is not possible to implement comprehensive programs in the field of crisis management without the conscious participation of citizens, and it is necessary to plan with institutional capacity building and their empowerment in crises. In this regard, Tehran Municipality has started a popular and voluntary organization in the neighborhood house with the title of Durability and Safety House, so the purpose of this research is to provide a mathematical model to evaluate the performance of these Durability and Safety Houses affiliated with Tehran Municipality in order to promote community-oriented participation of citizens in crises.

The research method used in this research is applied in nature and its method is contextual-case. Also, a combination of two field and library methods has been used to collect data. In line with data analysis, the mathematical model of Rough Data Envelopment analysis has been used. Also, the statistical population of this research, in terms of examining the efficiency of durable and safe houses, includes 22 durable and safe houses, and in terms of determining the effective indicators in their selection, it includes 55 experts in crisis matters, and due to the limited nature of the society, all members of the society were considered as a statistical sample.

The findings indicate that among the 22 durability and safety houses investigated, 11 areas are efficient and the rest are ineffective.

Considering the central role of durability and safety houses and the participation of citizens in preventing the occurrence of crises, the need to stabilize and measure their performance and efficiency is of great importance. In this regard, it is necessary for the municipalities to cooperate as much as possible with the citizens and formulate coherent plans and implement them in durable and safe houses in order to reduce the scope of the crisis during and after it occurs.

In the present era, the management and control of sustainable supply chains, in the global dimension, seems difficult. Blockchain technology, as a digital computing technology that ensures transparency, traceability and security, can help in providing a sustainable supply chain management solution. The purpose of this research is to design a sustainable supply chain model based on the blockchain approach in the steel industry, which has been carried out in the steel factories of Kerman province. The current research is applied-developmental in terms of its purpose and descriptive-survey in terms of data collection. The statistical population of the current research is 18 experts of the steel industry. The sample was randomly selected by snowball method and semi-structured interview was used to collect the data. Indicators were also extracted based on previous studies in the field of blockchain effectiveness on sustainable supply chain and fuzzy cognitive mapping method was used. Therefore, 15 factors affecting the sustainable supply chain were identified and investigated based on the blockchain approach. The results showed that the environmental performance improvement factor has the highest centrality with 6.844 degrees and the transparency factor has the lowest centrality with 0.958 degrees. Also, improving the environmental performance had the most impact and the most effectiveness. According to the results of this research, managers are advised to pay special attention to the emerging blockchain technology for performance transparency, cost reduction, increased trust in transactions and better security</em>.</em>

Our country is one of the most vulnerable countries in terms of suffering natural disasters in such a way that during the 20th century, the statistics of human and material losses resulting from incidents have placed Iran among the top ten countries in the world in terms of disaster and vulnerability; on the other hand, considering the role of the media in the representation era or the age of media in shaping our understanding and imagination of disasters in today's world, one of the important dimensions of disasters is to know how visual, audio and virtual media work during a disaster. Therefore, without knowing the performance of the mass media, we cannot practically know many aspects of the disasters and society's response to it at the national and international level. The media not only informs, encourages and persuades the society to provide relief and mobilize facilities when a disaster occurs but also they are very effective in the renewal and revival of the society and the changes that occur in the beliefs, behaviors and lifestyles of the members of the society before, during and after it.

In this research, it has been tried to determine the prioritization and effect of Persian language satellite and television networks on the lifestyle after the Corona crisis with a mathematical model of rough data envelopment analysis. This research is an applied study and its method is case-based and in order to measure the before mentioned Channels, field and library studies were conducted on the variables and indicators of lifestyle after Corona, at first; and after reviewing the articles, in order to calculate the research indicators, a guided interview was conducted with experts in this field who had at least 10 years of experience in the fields of lifestyle, media and culture.

The findings of this research indicate that MANOTO Channel has had the greatest impact on the people's lifestyles after the Corona disaster and after that the NASIM and GEM channel are in the second and third places.

According to the ranking of the channels, it is important that the lack of actions of the domestic channels, such as lack of quick, accurate and clear information and concealment of facts and statistics, gives the opportunity to the satellite channels and reduces their social capitals; on the other hand, in the case of producing high-quality programs that suit the audience's taste, such as entertainment and family programs in NASIM channel provides the possibility of competition and influence for domestic channels.

This study will seek to provide the best and most efficient ordering policies for different levels of the perishable food supply chain in order to maximize the overall profit of the chain, and minimize social and environmental damage. Our supply chain includes a four-level supply chain of suppliers, manufacturers, distributors and retailers. In addition to the components of perishable products, the dimensions of sustainable development have been fully investigated and taken into account in the entire chain. In this study, due to the main nature of perishable materials, the statistical population includes 9 dairy companies and 9 meat and protein companies, which in total 18 dairy, meat and protein companies in Fars province, Iran, were studied. Network Data Envelopment Analysis (DEA) was used to analyze the data and WinQsb was used to model and solve it. According to the results, the average efficiency of the supply chain of production and distribution of perishable products in the financial year studied by the research in the suppliers sector was equal to 0.9634. This average was equal to 0.9899 in the producers sector, 0.9903 in the distributors sector and 0.9707 in the retailers sector. Therefore, the average efficiency in the study shows that the most inefficiency problems of the studied companies are related to the supplier sector. Also, the overall average efficiency is equal to 0.9950.

The outbreak of coronavirus disease 2019 (COVID-19) has led to many visits of patients to medical centers which has subsequently affected the performance evaluation of hospitals. One of the important non-financial performance measures is medical professional ethics. This study aims to evaluate the performance and rank the hospitals in Shiraz, Iran based on medical professional ethics affected by the COVID-19 pandemic.

Based on the balanced scorecard (BCS) method, the indicators were divided into four perspectives. Then, using the decision-making trial and evaluation laboratory (DEMATEL) method, the causality between the four BSC perspectives as well as the relative weights between the evaluation indicators were determined. The fuzzy data envelopment analysis (DEA) method was used to rank the performance of 37 hospitals. The DEA model ranked the decision-making units (DMUs) based on efficiency.

The DMUs (hospitals) 1, 3, 5, 8, 12, 13, 17, 21, 22, 23, 24, 25, 27, 28, 29, 30, 31, 32, 33, 35, 36 and 37 were efficient, while others were inefficient. 

The efficiency of hospitals in Shiraz is lower in learning and growth perspective than in other perspectives, and all hospitals are efficient in terms of customer perspective. This indicates that hospital managers pay less attention to learning and growth and more attention to the customer (patients) perspective during the COVID-19 pandemic.

The objective of this study was to rank municipality efficiency by stimulating job performance of employees and managers of municipalities of north Khuzestan Province through cultural intelligence based on data envelopment analysis (DEA) linear programming model.

The present study was applied in terms of objective and descriptive survey in terms of data collection method. The statistical population of this study included experts and managers of municipalities of north Khuzestan Province. The statistical sample was selected by convenience sampling. Data collection tools were cultural intelligence questionnaire by Ang et al. (2004), occupational performance questionnaire by Alirezaei et al. (2012).

Finally, it was concluded that, in order of priority, Dezful, Lali, Shush, Izeh, and Masjed Soleiman were the most efficient municipalities.

According to the present study, it was found that the cultural intelligence of employees and managers has a positive effect on their job performance

One of the most complex decision-making problems for managers is evaluatingthe performance of hospitals using various criteria. To do this, we first divided the indicators into four categories using the BalancedScorecard (BCS) and then analyze the indicators using the Data Envelopment Analysis(FDEA) method. First, all the relationships between the four perspectives were obtainedusing the DEMATEL method and this network structure was used to create the DEA networkmodel. Satisfactory performance evaluation indicators have been selected by reviewing theliterature and opinions of hospital managers and physicians with real practical experiencesin medical professional ethics. Then, the causality between the four BSC perspectives as wellas the relative weights between the evaluation indicators were determined using test anddecision evaluation (DEMATEL), respectively. The average efficiency of medical professional ethics based on the results ofgrowth and training stage was 84.73% , internal process stage 92.09%, capital stage 100%,and financial stage 95.81%, based on the designed model of an input and output. The stepswere obtained. The results were below the overall performance evaluation of the hospitals.General performance of hospitals (DMU) No. 1, 3, 5, 8, 12, 13, 17, 21, 22, 23, 24, 25, 27, 28,29, 30, 31, 32, 33, 35, 36, and 37 were obtained 100%, and 2 hospitals were 92.9% efficient, 4hospitals 91.5%, 6 hospitals 58.4%, 7 hospitals 67.1%, 9 hospitals 95.1%, 10 hospitals 98.4%,11 hospitals 98.4%, 13 hospitals 92.6%, 14 hospitals 85.1%, 15 hospitals 88.8%, 16 hospitals94%, 18 hospitals 87.2%, 19 hospitals 86.3%, and 20 of them were 98/6% efficient. This study used the non-financial approach of medical ethics to evaluate theperformance of hospitals; it can be said that the method and type of perspective used arecompletely new.

Performance appraisal is essential for any bank to plan and control. And considering the role of banks in the country's economy, measuring its efficiency is very important, so it is necessary to use appropriate models to assess the efficiency of banks. One of these models is data envelopment analysis. Due to the multi-stage structure of banks, conventional data envelopment analysis models cannot be used, because conventional models do not pay attention to internal structure, intermediate products or communication activities And provide an estimate of the quality of performance. Also, conventional models pay less attention to the nature of inputs and outputs and have a radial nature, so the aim of this study is to provide a new model of NDEA with SBM model and FDH model for eliminating the weakness of conventional DEA models and Have a higher resolution. Also, for experimental study, to evaluate the performance of 20 branches of a commercial bank by considering the indicators, number of personnel and staff working hours as input and free deposits (free of charge and costly deposits) and facilities as intermediate indicators (intermediaries). And the indicators of overdue receivables and received fees have been considered as output and the ranking the branches , and finally efficient and inefficient branches have been identified. And the necessary strategies were given to improve the performance of inefficient branches.

Road transport in the country with more than 90% of the transportation share is the most important transportation sector. The main objective of this paper is to estimate the number and distribution of inter-city road freight fleet and its optimal distribution in the provinces of Fars and Khuzestan, which has had a larger share in the transportation of the country. First, there was a general discussion of the problem and the importance of estimating the number and distribution of freight fleet, and then, by examining past studies, demand for transportation and demand estimation patterns were explained, and a multivariate decision making model with multi-objective integer programming approach was used to solve the problem. The problem model is composed of two objective functions, which minimizes the total cost of the system to the first objective function. These costs consist of two fixed and variable costs, which are set up costs and linear costs of sending products from distribution centers to customers, and in the second objective function, the total amount of time the products are sent from the distribution centers to customers is minimized. The required data were collected into the problem model and the model was implemented using Gams software. It was determined that for the two research provinces (Fars and Khuzestan provinces) there are 5550 required fleet units, Of these, 2700 cargo fleet units should be distributed in Fars province and 2850 cargo fleet units in Khuzestan province.

The Social Security Organization is the most important element of the insurance industry in the country and has reached a position where it can play a special role in expanding the social and economic development of the country. Therefore, one of the requirements for creating social and economic change in order to provide desirable services in the social security organization and to satisfy the client is to design and implement a system for evaluating the correct performance of the organization's service supply chain. For this purpose, the aim of the present study is to design the performance evaluation indicators of the service supply chain in Hormozgan Social Security Organization. And in the first part, first the performance evaluation indicators of the service supply chain were determined in the form of input and output measures and the importance of each performance indicator was determined and then according to the approved indicators and in order to meet the needs and satisfaction of the client, a service supply chain of two-way and four-level (The level of first and last were assumed to be out of bounds) designed. And in the second part, the efficiency of service supply chain, of 15 branches of Hormozgan province was evaluated by the network data envelopment analysis. Efficient and inefficient branches were identified by this model. And finally the necessary strategies were examined to eliminate the factors of inefficiency of the branches and in line with the quality of services and to satisfy the client in the organization.

Despite increasing advances in project management, a very large proportion of projects still fail. Because there is no comprehensive approach to fully evaluate projects. Therefore, in this research, a new method for evaluating the efficiency of projects has been introduced, which is well understood due to the quantitative and qualitative nature of the designed model.

This research is applied in nature and the research method used in it is case study. Various methods such as library studies, searching articles and journals related to the research topic have been used to obtain information in the theoretical sections, and interviews and questionnaire have been used to determine the indicators. After extracting the indicators and designing the network structure based on the perspective of the balanced scorecard, the data envelopment analysis network model was designed and then the model was solved and finally the results were analyzed.

Using the designed model, the efficiency and performance of Shiraz Civil Institute projects is evaluated from four financial perspectives, stakeholders and partners, and internal processes, and growth and learning. And according to the results, 33% of the projects of the Civil Institute are inefficient and the rest of the projects are efficient.

 The model presented in this paper is a combination of network data envelopment analysis and balanced scorecard, and a systematic relationship has been established between the two methods, so that one of them complements and covers the weaknesses of the other method.

Given the increasing competition in global trade and the needs of domestic and foreign markets, evaluating the suppliers’ performance quality is essential for petrochemical companies, because it leads to improved competitiveness and increased business opportunities. Therefore, in this research, a mathematical model based on the data envelopment analysis and the Nash approach has been used to evaluate the suppliers which have a wide range of activities and highly competitive advantages. For the case study, the performance of 17 suppliers of instrumentation equipment in Borzouyeh Petrochemical Company has been evaluated. First, using the opinions and experiences of petrochemical company experts, 22 criteria effective in assessing the quality of suppliers of instrumentation equipment were identified and the relationships between them were also analyzed. These criteria were divided into four main categories: "economy and cost, quality and technology, supplier characteristics and services provided by the supplier". Based on the selected criteria and using the mathematical model of the research, the performance of each supplier was evaluated. Finally, after performing the analysis by GAMS software, the suppliers were ranked according to the performance obtained from the final model. As a result, the Pars Sanat Kaveh Company with an efficiency of 0.9858 was selected as the top supplier.stage.

Due to their inherent nature in the economy, banks have a fundamental and significant responsibility for capital formation. Therefore, evaluating their performance can help decision makers find the optimal solution and prevent financial distress. The purpose of this study is to evaluate the performance and forecast financial distress of banks listed on the Tehran Stock Exchange, based on CAMELS indicators and Data Envelopment Analysis model.  First, using the data of 17 banks in the fiscal year 2018, 5 levels of determining the health of banks, in the form of differences between the performance of these banks in terms of capital adequacy, quality of assets, quality of management, Earning and liquidity and  sensitivity to market risk, It was found. And the studied banks were divided into two groups: healthy and helpless, based on CAMELS indices. Then, according to the effects of financial distress on banks, financial distress was predicted by Data Envelopment Analysis model slacks-based on measure of efficiency (SBM) and with a different approach. The results show that 61% of the predictions were correct by DEA technique and 39% of them were incorrect. Also, the results of this study showed that CAMELS financial ratios can be a good assessor for banks' financial distress.

Steel industry is one of the most important industries in the country and its growth indicates the development of part of the economy, and given the volume of production and high costs of its activities, it is necessary to design appropriate strategies to increase performance and reduce costs. Accordingly, the present study aims to provide a performance appraisal model in the steel industry by combining cost-based models based on activity and Networking Data Envelopment Analysis. For this purpose, financial and non-financial information of a number of subsidiary units of Hormozgan Steel Company were examined. They were used as input indicators of the NDEA model to evaluate performance. The results showed that activity-based costing (ABC) is more accurate than traditional costing and the outputs of this model can be used as inputs to the network data envelopment analysis model to evaluate the performance of units. The use of these two models also provides appropriate information for planning to reduce costs and increase efficiency.