mohammad ehsanifar

The aim of this study is to identify significant key factors on financial performance and ultimately confirmatory factor analysis, the model of key criteria affecting the financial performance of Iranian construction companies. The present study was mixed (qualitative-quantitative) in terms of methodology. In the first stage, a comprehensive model of key criteria affecting the financial performance of construction companies was obtained by using a meta-synthesis qualitative method with a review of previous literature in the field of financial performance, surveying, collecting data and integrating them. For its validation, the opinions of experts were used in the Delphi method and the model was designed in 5 dimensions and 12 indicators. In the quantitative stage, the survey research method and the data collection tool in this section were a researcher-made questionnaire. To measure the validity of the questionnaire, the face-content validity method was reviewed by the professors of the construction management department. The reliability of the questionnaire was confirmed using Cronbach's alpha. The questionnaire was distributed among construction companies active in the field of buildings and construction in Tehran, which were recognized as the first-ranked qualified companies by the Management and Planning Organization. Next, using a researcher-made questionnaire, the external and internal validation of the key criteria model affecting the financial performance of Iranian construction companies was examined with the help of Smart-PLS software. The external validation of the model was confirmed by convergent validity and composite reliability, and the model was presented. The present research model has been able to provide important relevant information about the financial performance of construction companies and help the company and its stakeholders in better planning its strategies and policies by focusing on several important areas for the overall improvement of the company.

The present research was carried out with the aim of the role of Tehrani citizens in participating with Faraja in providing social security by using National Mobilization.

This research was a correlational survey method and practical in terms of purpose. The statistical population is made up of all the citizens over 20 years of age in Tehran. Based on the standard sampling table of Krejci and Morgan, 384 people have been selected as a sample. In this research, a multi-stage cluster sampling method was used. The data collection tool used in the research was a questionnaire. In terms of authenticity, the guidelines have the validity of the content, which was obtained by obtaining opinions from experts and experts. And the reliability of Cronbach's alpha was 0.84 for the citizens' participation questionnaire and 0.83 for the social security questionnaire. In order to test research hypotheses regarding normality Pearson's correlation coefficient test and regression were used for the data.

The research findings showed that there is a significant relationship between responsibility, participation, social satisfaction, sense of belonging, social trust of citizens in the form of national mobilization and their participation with Faraja in providing social security. Also, the findings showed that there is a meaningful relationship between citizens' participation with Faraja in the form of national mobilization and providing social security. Also, the results of the multivariate regression analysis showed that responsibility, participation history, social trust, satisfaction, and sense of belonging have the greatest and least impact on the participation of Faraja citizens in the form of national mobilization and social security, respectively

As a driver of national development, the construction industry has in recent decades gained substantial environmental importance due to its extent and effects on life, business, and the environment. Due to its economic, social, and environmental impacts, the construction industry has been discussed extensively in the sustainable development literature, contributing to development of Green Building Rating Systems (GBRSs) worldwide. This study introduces some of the most popular GBRSs and employs a Multi- Criteria Decision Making (MCDM) approach to investigate the evaluation indices of GBRSs. GBRS indices were obtained through a comprehensive literature review. To validate the identified indices, 400 questionnaires were handed out to respondents, with 260 completed questionnaires being returned. The responses were statistically analyzed, identifying twenty important indices, which were modeled using Interpretative Structural Modeling (ISM) and categorized using MICMAC analysis. The ISM model showed that the barriers arising from unique characteristics of a region were the main GBRS factor in Iran.

The most basic step in managing an organization is to develop appropriate and practical strategies. Developing a detailed and complete plan that will determine the long-term direction of the organization and guarantee the prof-itability and survival of the organization. In this research, using multi-criteria decision-making techniques, a new SWOT model has been created to formulate organizational strategies (financial, commercial, production and similar). The upcoming research method is of a mixed type (qualitative-quantitative) which will be used in the qualitative part of the method (de-scriptive-survey) and in the quantitative part of the fuzzy Delphi technique and multi-criteria decision making. In order to target more the results of this research and its output model, Iralco Company (Iran Aluminium) has been selected as a strategic and widely used global product manufacturer to study and implement the mentioned models and techniques.

FARAJA's Deputy for Logistics and Support, which is as an economic pillar of the police force to supply and maintain the equipment needed by FARAJA, has an important position in terms of safety and full readiness to deal with any threat or injury and should always be in the best condition and prepared. Therefore, this study was conducted with the aim of "pathology of the weapons and ammunition centers safety of FARAJA.''

This research is applied in terms of purpose and qualitative research in terms of data nature and implementation method. The data collection tool was a semi-structured interview whose validity and reliability were confirmed by the sample size. The statistical population is all the experts of the FARAJA's weapons and ammunition centers of logistics and support, FARAJA's General Inspection and Protection Organization of FARAJA which are familiar with the relevant subject. The sample size was 51 people with theoretical saturation and purposeful sampling method. Data analysis was performed using content analysis method (basic themes, sub-themes and main themes).

FARAJA weapons and ammunition center of logistics and support deputy is deficient in terms of safety for staff, facilities and equipment, physical and environmental safety, etc. Therefore, safety management and protection of human resources and staff of this center, maintenance and safety system of facilities and equipment and in general physical and environmental protection and safety of this center needs special attention and attention of FARAJA commanders and managers. Considering this, in this study, a model of injuries of the FARAJA's weapons and ammunition center was developed, which can be used as a comprehensive model for commanders and managers in planning and taking the necessary measures to eliminate these injuries.

The roots of a polynomial have many applications in various sciences. If the polynomial under study has a degree of 4 or more, it will be impossible to find its roots through the coefficients. In this situation, most researchers use numerical methods to find the roots. The purpose of this research is to introduce a relatively simple method for calculating the real roots of a polynomial. In fact, the proposed approach emphasizes the ability of operation research science in the area of finding roots. In the end, some numerical examples are solved with the help of lingo software to better understand the proposed method. The results indicated that the proposed method is remarkably effective in finding the roots of a polynomial.

Product quality includes three variables: design, conformance and use. Measuring the quality of products with respect to all three quality variables is one of the important challenges of the country. Therefore, the present study was an attempt to figure out how quality factors are related to each other and to determine the relative weight of these factors and to provide a product quality measurement model using hesitant fuzzy linguistic terms. The present study falls into the category of applied studies in terms of objective and can be recognized as a quantitative study in terms of methodology. The population of the study incorporates academic experts and university-industry experts. Sample size (n=10) was determined using the purposeful and snowball sampling method. Due to the uncertainty of experts' in determining the mutual impact of product quality factors, the DEMATEL technique was combined with hesitant fuzzy logic, the resulting technique was then integrated with the Network Analysis Process (ANP), and the final model was extracted (DEMATEL based ANP (DANP)). Thanks to this procedure, the present study can be deemed innovative. The cause and effect relationships between the main factors of product quality were identified and extracted using DEMATEL technique. Then, taking into account the intensity of the mutual impact of quality factors on each other and using the DNAP technique, the product quality factors were ranked in three dimensions: design quality, conformance and use. According to the findings, management factors and resources (employees-infrastructure-environment) were identified as causal factors that affect other factors. On the other hand, the DANP output showed that "design quality" is the most important factor in product quality. So, with the relative weights of the factors, the product quality measurement model was obtained.Originality/Value: Researchers and industrial managers at the national level will be able to identify the relationship between quality factors and use this model to measure product quality or the quality rate of goods according to relative weight of each factor.

Ordinary concrete production is highly energy intensive and caused to greenhouse gas emission responsible for global warming. Geopolymer mixtures are the eco-friendly alternative for to protect the CO2 emission in concrete industry. In this study, the post-fire behavior of fiber reinforced geopolymer concrete (FRGPC) was investigated based on molarity changing approach. To do so, supplementary cementitious materials such as fly ash, metakaolin and zeolite are used to provide binary and ternary FRGPC mixtures. For this aim, FRGPC exposed to elevated temperature at the 200, 500, 800 °C. In addition, three molarity (12, 14, 16) of solution is studied for better strength performance. The result of this study presented that the ratio of the post-fire residual strength of the sample of Z10MK20 increased by 8.1% at 200 °C, 14.1% at 500 °C, and decreased by 5.2% at 800 °C. The 28-day sample resistance, with 20% replacement of metakaolin, was measured at 45.8 MPa after adding fibers (2% constant volume of 1-3% polypropylene fibers). Also, with increasing the molarity of FRGPC mixtures from 12 to 16, the heat resistance behavior in FRGPC had an increase about 6%. Increasing the volume of polypropylene (PP) fibers up to 3% by volume did not have much effect on the heat resistance behavior of FRGPC. Beside, post-fire strength of FRGPC was predicted using artificial neural network (ANN) and support vector machines (SVM) with the integration of water cycle algorithm (WCA). Based on the coefficient of determination obtained in the training and testing stages, ANN-WCA model had an acceptable performance in predicting the post-fire residual strength of FRGPC. Additionally, the sensitivity analysis manifested that the molarity of the FRGPC mixtures and the exposed temperature had the greatest effect and PP fibers had the least effect on post-fire residual strength of FRGPC.

The Architecture, Engineering, Construction, and Operations (AECO) sector is adopting Building Information Modeling (BIM) in public and private organizations worldwide. The public sector plays an essential role in inducing and encouraging the implementation of BIM in the industry. However, there is a lack of comprehensive and integrated research on the critical factors for enterprise-scale BIM adoption in government agencies. The primary purpose of this study is to provide a framework to analyze the critical success factors (CSFs) of BIM implementation in Iranian government organizations. This method includes a comprehensive literature review, an exploratory study in three Iranian government institutions, and a survey conducted with 68 Iranian experts involved in admissions to public organizations. The methods used to analyze the factors are Interpretive Structural Modeling (ISM) and the DEMATEL method used to analyze the relationships and interactions between the factors quantitatively. The results include the proposal of sixteen CSFs and a model's development. Finally, the creation of a framework for adopting BIM by government agencies according to BIM contexts prioritized CSFs and levels of analysis. The main contribution of the current research is a proposed framework for BIM adoption, which includes a comprehensive and integrated approach based on a set of CSFs from Iranian government organizations and a greater understanding of contractual, regulatory, technical, procedural, and political characteristics for the public sector.

The continuing Covid-19 crisis has caused irreparable damage in many industries. Considering that we are witnessing these losses in the hotel industry, so this study seeks to identify and determine the components and dimensions of the crisis in the financial field in the critical situation of Covid-19 in the hotel industry of Alborz province. There are 15 hotels. The research method is applied and the research design is descriptive-correlational research. Field and library methods have been used to collect data. The data collection tool was a standard online questionnaire whose validity was estimated by experts and its reliability was estimated using Cronbach's alpha. The main basis for gathering information is to conduct in-depth interviews with hotel managers and academic experts until the theoretical saturation is reached; a total of 22 interviews were conducted. The statistical population includes all hotels in Alborz province and its time zone in the first half of 1400. After performing the three steps of open, axial and selective coding, the final research model has been obtained; in this model, 6 general categories, 15 sub-categories and 53 main concepts are mentioned. The results show that in this situation, the categories of executive instructions, organizational level strategies of hotels in managing financial crisis and inefficiency of crisis organization have the highest frequency and executive instructions are in the first priority; and the consequences of these categories have had a significant impact on increasing the costs of this industry.

Organizational social capital is a collection of resources that a person gets by being in the network of relationships that the organization provides to him. Today, organizations play a very important role in people's lives. Most of people's lives are spent in organizations or in connection with organizations, and every organization accomplishes goals for people by performing multiple and specialized tasks, and the manner and extent of achieving goals can be evaluated under the title of organizational performance. Therefore, it can be said that the life of the organization depends on the correct performance of the employees. On the other hand, along with economic capital, physical capital, information and communication technology and human capital, social capital has also received increasing attention in organizations. Therefore, in this research, the goal of the researcher is to investigate the impact of organizational social capital on the organizational performance of police officers in Shiraz metropolis. The current research is a survey type, using the probability sampling method and random technique, using the standard questionnaire of Hersey and Goldsmith and the social capital of Nahabit and Ghoshal to collect data in a statistical population of 697 people (24 police stations in Shiraz city) and with a sample size of 250 people among police station employees. Shiraz metropolis, and variance analysis, Student's T, Pearson, regression, path analysis and spss software were used. The findings of the statistical tests show a significant relationship between the variables, the degree of correlation of relational social capital (p=0.514), cognitive social capital (p=0.512), structural social capital (p=0.480) as independent variables of the hypothesis. And the organizational performance of the employees is the dependent variable of the research hypotheses. Also, in the regression analysis, the independent variables explained about 30.1% of the variance of the dependent variable. The obtained results indicate

Product quality often implies attempts made to exceed customer expectations in the production of goods or provision of services, and incorporates various facets such as conformance, reliability, stability, price, taste and beauty. Product quality includes three variables: design quality, conformance quality and application quality. The present study was an attempt to offer a new classification of product quality factors with respect to three quality variables and provide an interpretive structural model of the quality factors using Meta-synthesis study. The present study falls into the category of applied studies in terms of objective and into the category of qualitative studies in terms of methodology. In the qualitative phase, the meta-synthesis method is used to systematically review 66 researches on product quality factors which have been conducted in 2000 – 2023 interval. The population of the study in the qualitative phase included all valid domestic and foreign researches available in scientific databases. In the Delphi technique, a survey form was used to elicit the opinion of 10 industry and university experts to validation of product quality factors. According to the findings of the study, 40 open codes and 6 axial codes including "management factors", "resources (employees-infrastructure-environment)", "product design and development", "customer focus", "marketing and sales" and "product standardization" were identified as the principal product quality factors.

Human resource productivity is one of the main concerns in organizations. In total,100 factors According to on three main sources: 1- Opinions of experts and academic professors, 2- Using project technical documents, 3- Previous similar research studies and related scientific sources, were identified and categorized into four groups: plan human resource management, acquire project team, develop project team, and manage project team. Questionnaires were distributed among 103 members of the target population who were active construction contractors in Iran. The questionnaires were analyzed using two methods Relative Importance Index (RII) and the Fuzzy Logic (FL). Ten factors that had the highest impact, based on the two methods, on HRP efficiency in the projects were identified and compared. The results of fuzzy logic and RII method showed that both methods were highly similar in terms of outcomes. In addition, the results indicated that “lack of proper communication between the technical office and workshop” was the most important factor based on the two techniques mentioned.

Since locating distribution warehouses is not easy to do, using a decision support system will help increase the effectiveness of decisions in this area. Accordingly, in this study, the aim is to use a model in addition to introducing the most suitable location for the construction of the central warehouse, to calculate the desirability of the desired location using multi-objective linear planning to determine potential and proposed locations. To what extent can they be a good place to build a central warehouse?

Proper location of distribution warehouses are the main key to productivity, which can be used to achieve various goals of the organization, such as providing optimal services to customers and at the same time reducing distribution costs. Warehouse location is related to the placement and orientation of a piece of land according to the location of consumers and suppliers of the warehouse, and it consists of determining the location of the warehouse in such a way that its goals are met. Determining possible locations for warehouses varies from organization to organization and from one situation to another. Decision making in this case requires careful planning and proper forecasting and some analysis. However, the scientific method of planning directs the existing experiences into an optimal plan.

Previous researches that have been conducted in the field of warehouse location have used different decision making methods to design a decision support system and introduced the appropriate location for building a warehouse. Now, the question that is raised is whether the same decision-making methods of the past can be the criteria for choosing the location of the central warehouse, or whether a new method should be used to design the decision support system based on the importance of the studied problem? Based on this, in this research, the purpose of using a model is to introduce the most suitable place for the construction of a central warehouse, it calculates the desirability of the desired location using the proposed multi-objective linear programming, to determine the potential and proposed locations. To what extent can they be a suitable place to build a central warehouse? Optimal methods for decision making have always been considered and used in many important industrial issues. In the present study, the cumulative utility of the star, which is one of the most important methods for calculating and extracting utility functions, has been used.

According to the planning of the managers for the development of the factory for new products, the need to have a central warehouse to store the goods and to choose the right place requires attention to this matter. Based on this, the managers of Foulad Company are trying to take an important step by choosing the right location for the central warehouse, in order to reduce costs and the level of good service to the nearby workshops, as well as to increase profits. In this research, due to the importance of choosing a warehouse location and the complexity of making such a decision, we have presented a decision support system based on a multi-objective linear programming model, which is able to provide appropriate assistance by considering the minimum information from the researchers. Increase the effectiveness of decisions and help managers and researchers in the process of making optimal decisions.

According to the findings, it can be argued that by using the obtained results, it will create the possibility for companies to make decisions to optimize the support system in their company and with this, in addition to reducing Costs to increase their competitiveness.

On the one hand, according to the results of multi-objective linear planning, he has calculated and presented the overall desirability of the reference options, which include potential and proposed options for building a central warehouse location. Also, on the other hand, it deals with the sensitivity analysis of options to help managers and researchers in the process of making a favorable and optimal decision. The results indicate that the warehouse location has the first rank with 84% desirability as the most desirable central warehouse location of Damghan Steel Company. Also, the important point of the obtained results is that none of the proposed options can be the most desirable place for other sectors in the future.

The lack of a comprehensive classification of financial crisis management complications in the hotel industry has caused many financial losses. In this method, with deep study and research in an industry, the root of financial problems; is identified and further investigated.The current research method is applied and its research design is descriptive-correlation research. Two field and library methods have been used to collect data. The tool for gathering information is a questionnaire and conducting in-depth interviews with managers and academic experts until theoretical saturation is reached; that in the first stage, a total of 22 interviews were conducted, and we reached theoretical saturation in the 18th interview; And in the second stage, 180 questionnaires were distributed. The statistical population includes all 4-5 star hotels in each province throughout Iran and its territory in the first half of 2023.The initial share of the factors shows that all of them are equal to one. Then, the sharing rate was calculated after extracting the factors, which is higher than 50% in all items, which indicates the ability of the determined factors to explain the variance of the studied variables.The results show that the income phase, facilitating conditions and support policies are among the factors affecting the financial crisis of the hotel industry in the critical conditions of Covid-19 and the consequences of these categories have a significant impact on the increase in cost and the formation of a financial crisis in this industry.

Lack of a comprehensive classification of crisis and emergency management in Helal houses has caused many losses in the Red Crescent Society of Iran. Therefore, the root of these problems can be identified and investigated with a thorough investigation.

This applied research was conducted using a hybrid design. In this research, field and library methods were used. The data were collected by using questionnaire and conducting in-depth interviews with managers, specialists, and experts of the country's crisis management organization and professionals until theoretical saturation. In the first stage, 24 interviews were conducted and we reached theoretical saturation in the 20th interview. In the second stage, relying on inferential statistics methods, 422 questionnaires were distributed. The statistical population of the research is the Red Crescent Society of Iran and its time domain is the second half of 2022.

After performing the three stages of open, central, and selective coding, the final research model was obtained in which, 6 general categories, 15 subcategories, and 49 main concepts are mentioned.

The results demonstrated that the categories of human resources, organizational communication, and government policies are among the effective factors on crisis management in Helal houses in the Iranian Red Crescent Society in the critical condition of Covid-19 and the consequences of these categories have a significant impact. There are other problems and crises in the formation.

In recent years, the outbreak of COVID-19 has led to burnout of healthcare personnel. Accordingly, more attention should be paid to nurses scheduling and their preferences. The Nurse Scheduling Problem (NSP) as an optimization concept provides suitable nurses' schedules by focusing on the system requirements. In this study, a new NSP is developed in which the factors and consequences of nurses' burnout are considered simultaneously. In the proposed model, new constraints are formulated to define the undesirable shifts. Due to the seniority rules, it is tried to restrict the numeral of these shifts in the generated timetable to improve the burnout of nurses. In addition, an attempt is made to fairly allocate the requested leave of nurses by considering their leave days during the previous horizons. In the presented model, the timetable of nurses is flexible to cope with the absence of employees, and the required personnel are covered by changing shifts among nurses. To solve the developed problem, Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) are coded, and their results are compared with GAMS in different test problems. Taguchi method has been applied for parameter tuning of these algorithms. The final results prove that the GA outperforms PSO both in obtained solution and CPU time. GA has only a 0.22 % optimality gap on average. Finally, the proposed model is implemented in an actual case study in Iran. The generated timetable improves nurses' performance and the level of medical services by controlling the causes and consequences of burnout.

Recently, Building Information Modeling (BIM) has emerged as a new technology in the construction industry, which is gradually gaining popularity among stakeholders. Despite the importance of BIM, the literature review shows a gap in the evaluation of BIM applications in Iran. Therefore, the aim of the current research is to evaluate the applications of BIM in construction projects. Since the evaluation of the most appropriate option is a multi-criteria decision-making problem. Therefore, decision makers use preferences that are uncertain in evaluating options. Rough's theory, which is efficient in such conditions, is used. First, by using the concept of Rough's theory to transform the preferences of experts and the combined method of Analysis Hierarchy Process (AHP) and VIKOR, is used for evaluation. The results show that the proposed decision method is effective improved objectivity in BIM application evaluation under subjective condition.

HEPCO is an Iranian corporation that manufactures construction equipment and holds a supply chain with a traditional, non-integrated approach. The materials come from four different sources, including an engineering and parts company, domestic vendors, international vendors, and the company itself supplying the materials and components needed for assembling of products and delivering to customers. Having a non-integrated supply chain has led to an increase in total cost. Therefore, in order to reduce supply chain cost in this company, a three-level model including suppliers, manufacturers, and customers was used. Different ways also were applied to minimize chain cost, including purchase cost, transportation cost, inventory cost, assembly cost, and shortage cost, based on an integer linear mathematical model. It also considered such constraints as balance inventory, assembly capacity, storage capacity, amount of safety stock, and shortage, which were solved by MATLAB software. The results of proposed model were compared with the actual amount of variables in the study period, which indicated a significant reduction in the cost of proposed model comapred to the conventional methods.

Risk assessment and prioritization is one of the most important components of risk management in any organization. Failure Mode and Effects Analysis (FMEA) is one of the most commonly used methods for assessment and prioritization of the multiple risks. Despite the widespread applications of this method in various industries, FMEA is associated with some shortcomings that can lead to unrealistic results. In this study, a new hybrid decision- making approach is presented in three phases to cover some of the shortcomings of the FMEA technique. In the first phase, based on the subject literature and getting help from a group of experts, 23 risks related to the construction project were identified and classified into six groups including technical, dynamics of the project environment, multiplicity of project stakeholders, employer, project management, and contractor. In the second phase, the fuzzy Stepwise Weight Assessment Ratio Analysis (SWARA) is used to measure the weights of decision criteria. In the third phase, the outputs of the previous phases are used as a basis to prioritize the risks using the Weighted Aggregated Sum Product Assessment (WASPAS) methods under fuzzy environment. To illustrate the potential benefits and applications of the proposed hybrid approach in a case study was implemented. The results obtained from the new hybrid approach to show that the low performance of the human resources, communication and cooperation of a poor contractor with another group, lack of proper management by the contractor regarding financial matters, supplier support, and subcontractors, and low performance of the human resources as the most important risks were recognized in the construction project of the Central Library of Markazi Province. Also, after performing the validation test and sensitivity analysis, it was found that the proposed method can provide valuable and effective information in helping to manage the risk of construction projects.

This paper aims to explore effect of supply chain members’ costs change on participants of the network.On one perspective, it explores when there is a cost change to a firm, how other firms are affectedand who bear(s) the most effect. On the other perspective, it investigates how an individual firm’sperformance is affected by the other members in its network and whose cost change would impose amost significant effect on its profitThis paper aims to explore effect of supply chain members’ costs change on participants of the network.On one perspective, it explores when there is a cost change to a firm, how other firms are affectedand who bear(s) the most effect. On the other perspective, it investigates how an individual firm’sperformance is affected by the other members in its network and whose cost change would impose amost significant effect on its profit

In order to choose the method of project implementation in the form of partnership or conventional method, various factors in the formation of the concept of value for money creation in each project are evaluated to be the basis for decision making. Many countries use Public Sector Comparators (PSC) to reach this decision. In this research, the correct calculation of PSC and simulation of risks to achieve a negotiable price range in water and wastewater projects in Iran has been done. The data collection tool in this study was to review various articles to identify the types of risks and distribute questionnaires and interviews with experts in the water and wastewater industry in order to determine the main and effective risks and then, the occurrence and severity of the effects of each risk. The price range was determined using the Monte Carlo simulation. After determining the main risks on PSC, using Monte Carlo method and risk distribution functions, the minimum and maximum amount of each risk and the total risk were determined for 70%, 80% and 90% confidence coefficients. According to the obtained model, to determine the price range, the price presented in the case study should be 500% to 550% in the minimum case and 750% to 850% increase in the maximum case for different reliability coefficients. As a result of this study, inflation risks, exchange rate fluctuations, regional political instability, public and private sector corruption have had the greatest impact on the PSC and price range determination.

In this paper, a system dynamic model (SDM) has been created to predict the construction status in Iran using sustainable development indicators (SDI). The aim is to create a model based on system dynamics that would understand the complexities of the sustainable development system, as well as predict the values of variables and indicators used in the model for years to come. Since sustainable development involves various economic, social, and environmental aspects, the model has been formulated Using ten-year available data in these areas. After that, the output results of the model have been validated with reference patterns, and then, various scenarios have been created for sensitivity analysis. Finally, based on this model, the construction status in the Next years has become predictable. According to the results of this study, there is a direct and significant relationship between the amount of Construction and other indicators of sustainable development, such as the share of women working in the non-agricultural sector and the literacy rate of men aged 15-24.

The aim of this study was to investigate the relationship between the dimensions of knowledge management and financial performance (a case study of Kaleh Mazandaran Company) which is an applied research and correlational research based on structural equation modeling that has been conducted in the field. The statistical population included all managers and experts of Kaleh Mazandaran Company in Amol city in 1400. According to the number of research population and based on Morgan's table, 242 people were randomly selected as the research sample. The research tools included questionnaires of personal information, financial performance standard and knowledge management standard. To analyze the data from the frequency and percentage table, mean and standard deviation and Pearson correlation tests and path analysis model (multiple linear regression) to test the research hypotheses using SPSS statistical package version 25 and to design the final research model of AMOS software Version 24 was used.

The purpose of this paper is to develop a new Failure Mode and Effect Analysis (FMEA) framework for identification, prioritization and improvement of failure modes. A hybrid multiple criteria decision-making (MCDM) method combining Stepwise Weight Assessment Ratio Analysis (SWARA) and VlseKriterijumska optimizacija I KOm-promisno Resenje (VIKOR) is used to rank the risk of failure modes identified in FMEA. For this purpose, the SWARA method is utilized to obtain the influential weights and then VIKOR technique is employed to give the prioritization levels for the failure modes in safety equipment. A case study of a gas company in Lorestan Province (Iran) is provided to illustrate the potential application and benefits of the proposed FMEA approach. The obtained results show that the new risk priority model can be effective to find high risk failure modes and create suitable maintenance strategies. The proposed FMEA also can overcome the shortcomings, improve the effectiveness of the traditional FMEA and provide useful information to help in managing risks of safety equipment.