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Hospitals are all required to be prepared against crisis, while according to studies, most hospitals are not prepared enough to encounter disaster problems. Therefore, each hospital should have an established programme to face earthquake and other catastrophes. This paper aims to investigate this issue.

This descriptive study was carried out in teaching hospitals of Iran University of Medical Sciences. Data collection was done using a checklist including general information, as well as information on demography, security, supplies and equipment, evacuation and communication. This procedure was done through observation and interview with hospital managers, etc. and the data were analyzed by SPSS software.

In the hospitals four dimensions of planning were studied and the following mean scores were obtained. On security, Hazrat Rasul hospital scored the highest (88.4) while Navab Safavi, Haftome Tir and Ali Asghar hospitals scored the lowest (51.4). On supplies and equipment, Navab Safavi and Haftome Tir hospitals obtained the highest score (66.6) and Hasheminejad, Shafa Yahyaeian, Firoozgar and Hazrat Rasul hospitals got the lowest score (60.0). On evacuation, Hazrat Rasul and Haftome Tir hospitals scored the highest and lowest respectively (64.2), (47.0). On communication, Hasheminejad hospital scored the highest (63.2) while Firoozgar hospital scored the lowest (36.6). In general from among ten hospitals under study the most and the least prepared hospitals were Hazrat Rasul and Navab Safavi respectively (65.65), (54.3).

The paper shows that most hospitals under study were not prepared enough against crisis and communication is found to be the weakest aspect although it is regarded as a basic principle in planning. Hazrat Rasul hospital was well prepared against crisis due to its disaster plan.

This study aims to formulate exploratory scenarios of the textile industry in Iran based on MICMAC and soft operational research methods.

In this study, to formulate plausible scenarios, literature reviews and external experts’ opinions of this field have been gathered through the Delphi approach and uncertainty questionnaires. After the utilization of the most important uncertainties, the textile industry’s plausible scenarios have been mapped with the help of experts through co-thinking workshops. Results show that two factors, including the business atmosphere and membership in World Trade Organization (WTO), play a more important role than the other factors. These two factors were considered for the formulation of the scenario. To formulate plausible scenarios, soft systems methodology, which is a kind of soft operational research methods, is applied.

Based on the results, four scenarios are presented. These scenarios include the Elysium scenario, Hades scenario, Tatarus scenario and Sisyphus scenario. In the Elysium scenario, the business atmosphere has improved and Iran has been granted membership of the WTO. In Hades scenario, Iran has joined the WTO, but due to the government’s weakness and inactivity and key decision-makers, the required preparations have not been made. In the Tatarus scenario, Iran is not a WTO member and the business atmosphere is disastrous. In the Sisyphus scenario, the government takes reasonable actions toward a better business environment.

Formulating plausible scenarios of the textile industry is an excellent contribution to the key beneficiaries and actors of this industry so they can present flexible preparation-based programs in the face of circumstances. Future study of the textile industry familiarizes the actors and beneficiaries of this industry with the procedures and the driving forces that influence this industry’s future and it will ascertain various scenarios for the actors of this field.

The purpose of this study is to formulate exploratory scenarios of Operations Research through the critical uncertainty approach and Soft Systems Methodology.

In this study, to formulate plausible scenarios, the discipline of operation research internal and external experts’ opinions of this field have been gathered through Delphi approach and uncertainty questionnaires. After use of the most important uncertainties, plausible scenarios of operations research have been mapped with the help of experts through co-thinking workshops.

Four scenarios are presented in this study. These scenarios include Solar System, Esfandiar's Eye, Rival’s Setraps and Legendary Simurgh. Naturally, the imagination of such a unitary future for all academic communities is an expectation far from reality, and given the conditions of each of these futures or any integration of them is imaginable.

Operations Research models have been faced with variously multiple changes since its emergence until now. Investigation into the future of operations research on the necessity for his planning has not received a reasonable notice in the literature. Sporadic activities that have been carried out are also lacking in the necessary methodology. Also, there has been no research about future study using the soft Operation Research tools (Soft Systems Methodology).

Current models of organizational excellence are appropriate for the private organizations. It is evident that if an appropriate model is not adopted, the process of excellence in the organizations fails and some dimensions of the organization get affected by unpredictable damages. This research aims to identify an appropriate excellence model for public organizations.

First, a comprehensive literature review was conducted to identify the excellence criteria and models. Second, the models were through an expert-oriented questionnaire, analyzed by the analytical hierarchy process (AHP) technique. Participants were experts in the two domains of excellence models and public sector management. A sample of 15 experts was selected using purposive sampling. In order to emphasize on reliability, 10 questionnaires were adopted for analysis.

The findings showed that the European Foundation for Quality Management (EFQM) model is the most appropriate model for excellence measurement in the public organizations based on the five selected indices.

The identification of a model for measuring organizational excellence for public sector can significantly contribute to existing literature on excellence measurement.

A boiling surface with different initial roughness and under various nanoparticles volume fractions was studied in present work.

Develop a correlation and sensitivity analysis.

The results showed that for small (7.3 nm) and much larger (about 2,000 nm) surface roughness, compared to nanoparticle size of around 25 nm, the heat transfer rate of nanofluid diminishes relative to that of base fluid. The results also demonstrated that the boiling heat transfer rate is reduced by increasing the concentration of nanoparticles. For larger boiling surface roughness (480 nm) and nanoparticles volume fractions of less than 0.1 Vol.%, the value of heat transfer increases with the increase of nanoparticles concentration; and for those of more than 0.1 Vol.%, heat transfer rate decreases by adding more nanoparticles, significantly.

Finally, an equation was presented for estimating the wall superheat and the C_sf coefficient in terms of mentioned parameters.

Apitourism is a form of tourism that deals with the culture and traditions of rural communities and can be considered one of the most sustainable methods of development and tourism. Accordingly, this study aims to identify the key factors and plausible scenarios of Iranian apitourism in the future.

This study is applied research. For this purpose, first, by examining the theoretical foundations and interviewing experts, the key factors affecting the future of Iranian apitourism were identified. Then, using a binomial test, these factors were screened. Both critical uncertainty and DEMATEL techniques were used to select the final drivers.

Two drivers of “apitourism information system and promotional activities” and “organizing ecological infrastructure” were selected for scenario planning using critical uncertainty and DEMATEL techniques. According to these two drivers, four golden beehive, expectancy, anonymous bee and black beehive scenarios were developed. Each scenario represents a situation for apitourism in the future. According to the criteria of trend compliance, fact-based plausibility and compliance with current data, the “Black Beehive” scenario was selected as the most likely scenario. The “Golden Beehive” scenario shows the best case in terms of apitourism information system and implementation of promotional activities and organizing and providing ecological infrastructure. The “Black Beehive” scenario, on the other hand, describes an isolated and vulnerable system.

Developing plausible Iranian apitourism scenarios helps key stakeholders and actors develop flexible plans for various situations.

Offshore structures are among the structures exposed to fire more often. Most of these structures are likely to be associated with flammable materials. In this research, some of the structures constructed on top of marine decks have been studied.

For this purpose, the upper-bound theory of plastic analysis has been used to investigate its collapse behavior. In this way, genetic algorithm has been used for application of the combination of elementary mechanisms in the classic plastic analysis problem.

The studied structures are optimized by plastic analysis theory before and after the fire and their failure modes are compared with each other. The comparison of the results indicates significant changes in the load factor value, as well as the critical collapse mode of the structure before and after the fire.

Results indicate that the combination of plastic analysis and a genetic algorithm can predict the collapse mode of the structure before and after the fire accurately.

The purpose of this study is to demonstrate that unsustainable revenues in municipalities are short term and may have an adverse effect on urban systems. Focusing on stable financial resources can reduce such adverse effects. According to the legal obligations of municipalities in the creation of sustainable revenue, developing tourism-based activities in municipalities can play a significant role in providing a sustainable income.

This study aims to assess the positive effects of economic opportunities related to tourism for the municipalities in Iran’s large-scale cities and to identify the hidden opportunities of tourism. Also, from interviews and analysis of themes based on the situation, task, action, result model, tourism opportunities have been extracted and classified.

As a result of this research, hidden income-generating opportunities of urban tourism have been identified for municipalities, including those depending on situation, tasks, actions and results. For each of these categories, strategies for the realization of tourism opportunities are presented. Tourism’s hidden opportunities include those relating to organizational aspects, tourism planning, tourism diplomacy, handicrafts, health tourism, event tourism and urban tourism marketing.

By taking advantage of these opportunities, income generation, employment and urban management will be improved in the municipalities.

This study aims to present the cost and revenue efficiency evaluation models in data envelopment analysis in the presence of fuzzy inputs, outputs and their prices that the prices are also fuzzy. This study applies the proposed approach in the energy sector of the oil industry.

This study proposes a value-based technology according to fuzzy input-cost and revenue-output data, and based on this technology, the authors propose an approach to calculate fuzzy cost and revenue efficiency based on a directional distance function approach. These papers incorporated a decision-maker’s (DM) a priori knowledge into the fuzzy cost (revenue) efficiency analysis.

This study shows that the proposed approach obtains the components of fuzzy numbers corresponding to fuzzy cost efficiency scores in the interval [0, 1] corresponding to each of the decision-making units (DMUs). The models presented in this paper satisfies the most important properties: translation invariance, translation invariance, handle with negative data. The proposed approach obtains the fuzzy efficient targets corresponding to each DMU.

In the proposed approach, by selecting the appropriate direction vector in the model, we can incorporate preference information of the DM in the process of evaluating fuzzy cost or revenue efficiency and this shows the efficiency of the method and the advantages of the proposed model in a fully fuzzy environment.