نشریه مدیریت راهبردی در سیستم های صنعتی
پیاپی 59 (بهار 1401)

Given the growing importance of project management and control issues and the benefits of choosing the right management method according to the specific type of project, The purpose of this study is to provide an appropriate method for planning and managing research and development projects. Uncertainty of activities and time required to complete each project activity, requires the project manager to use techniques appropriate to the specific nature of the project under review. In this paper, by describing the probabilistic project of constructing a model airplane according to the probabilistic conditions, a suitable algorithm based on Gert method and Monte Carlo simulation is presented in such a way that as a result the project manager can analyze the basic components from the output of the algorithm and estimate random variables such as the expected time of project completion and the average cost of completing project activities and extract the desired results to better manage and control the project. In order to provide a better understanding of the proposed algorithm, the results of using the algorithm to plan and manage the model aircraft construction project will be reviewed and explained and As a result, the expected time and cost of the project is extracted within a 95% confidence interval.

The aim of this study is to identify the factors and provide a pattern that can lead to successful investment in small and medium industries and show a way for industrial entrepreneurs to enter this important economic field with more awareness. This research is a qualitative research based on interviews with 15 industrial experts in the public and private sectors. After conducting interviews and initial coding using content analysis, out of 215 initial codes, 5 main categories of specific research Using the structural-interpretive modeling (ISM) approach, these categories were classified at different levels and the relationships between them were revealed. The results showed that 5 general groups of factors including: managerial factors, entrepreneur-related factors, production-related factors, market factors and environmental factors are involved in the success of small and medium industries, which according to the entrepreneur-related factors research model in the lowest Surface is in fact the cornerstone of the model and environmental factors play an intermediate role between the three levels of the model. This research will help small and medium industry managers to think of better measures to reduce investment risk and pave the way for growth. Industrial and increase employment in the country smoother.

Energy consumption management is essential because the natural resources should be preserved for the future people, and environment, the economy and the energy security of the country are also considered. Air pollution in Tehran has increased very much and thousands of people die every year because of it. In addition, the supply of diesel fuel under the current political circumstances of the country and the allocation of high value of subsidies to it have become a big problem for the government; the use of Compressed Natural Gas (CNG) buses for public transportation can be a solution to this problem. However, the CNG buses are not widely used in recent years. Based on historical approaches and using system dynamics (SD), the factors and feedback affecting the sustainable increase in the number CNG buses are identified in this paper and a dynamic model is introduced for the optimal and sustainable development of CNG buses. The model was validated and a 10-year period was simulated; according to the results, if the government does not increase the rate of its purchased CNG buses, the rate of the CBG buses being used now will be reduced from 38 percent to 14 percent in 2032. If 282 new CNG buses are purchased annually, the number of CNG buses and the number of diesel buses will be almost the same in 2032. Accordingly, fuel pollution produced by the buses and the fuel subsidies will be reduced.

Organizations and companies in order to increase their capabilities in the business environment must increase the level of outsourcing of their activities, and this increases the dependence on suppliers., they must pay attention to the performance of their suppliers, and also the evaluation and selection of efficient suppliers creates a competitive advantage for companies. Recent studies have suggested many methods for evaluating and selecting suppliers. Data envelopment analysis due to the basis of mathematical programming and linear algebra is one of the powerful methods in this regard that measures the efficiency of homogeneous units with multiple inputs and outputs. On the other hand, due to the uncertainty of the data in real applications, this issue has become a complex decision-making. Gray number theory is a method used to deal with uncertainty conditions that has been used in this research. In the present study, two models for evaluating and selecting efficient suppliers and a method for ranking efficient units based on data envelopment analysis and gray data are presented. The first model is proposed in order to achieve real results by applying the priority of inputs and outputs by decision makers and the second model is proposed by reducing the volume of calculations and solving them in the issue of evaluation and selection of efficient suppliers. The two mentioned models have been used to evaluate the car glass suppliers of IranKhodro Company and the implementation of the model shows acceptable results from the implementation of the proposed models.

In today's competitive market, many experts believe that competition has shifted from the level of companies to the competition between their supply chains. Supply chain efficiency depends on several factors. The success of a distribution chain often depends on how the members of the chain perform their tasks in order to achieve common goals. Distributors, as one of the main members and connection between the manufacturer and customers, play a key role in the supply chain management. Besides, they are particular in collecting marketing information, reducing demand uncertainty, and improving customer satisfaction. In the dairy industry, for various reason such as the existence of various sensitivities, including rapid and high corruption rates, the role of supplier is more critical. Therefore, the purpose of this study is to evaluate and diagnose the milk distribution network of the dairy industry. In this regard, first using the SCOR model approach at three levels, the milk distribution network is evaluated. Then, the evaluation indicators of the distribution network and the complications of the study distribution network were identified. The most important complication identified in the milk distribution network was the distribution of milk close to their expiration date. In the next step, the causes of milk distribution network complications were identified and categorized, the most important of which, according to the AHP method, is the lack of a proper distribution network monitoring system and human errors in information transmission.

In manufacturing and service processes, facing conditions of uncertainty and changes in the amount of data used in the model causes variable parameters, and therefore it is not uncommon to expect such conditions in decision making. Therefore, not paying attention to such changes causes deviation in planning and deviation from the real situation and causes a lot of damage in the mentioned environments. Due to the importance of the issue, in this paper, the fuzzy optimization approach is used to deal with the uncertainty in the parameters of uncertainty of production stages and product quality in the manufacturer's center and model reconstruction center. The present study intends to design a mathematical model of a multi-objective production program and optimize it to minimize the cost of inventory, production, and manpower, and the maximum quality of the product and maximize the maximum occurrence of uncertainty at each stage of production that causes bottlenecks. It can increase the profitability of Borujen Concrete Parts Company. The results of solving the model by coding in Gamz software and using the comprehensive criterion method include the values of objective functions and decision variables. The results were approved by the officials of Borujen Stream Concrete Parts Company.

The increasing volume and complexity of digital data and its role as a tool to support the competitive advantage for banks, has increased the need to use new tools and techniques in data acquisition, analysis and processing, and in this context, access to Data flow in new financial transactions has become more difficult, and this has doubled the need for bank managers to use the big data strategy to solve financial challenges and take advantage of opportunities to achieve a sustainable competitive advantage. The purpose of this study is to identify the effects of big data strategy on achieving a competitive advantage in the Iranian banking industry. Present the banking industry. The hypotheses of the model were evaluated using the views of the research sample, including CEOs, managers and employees of information and communication technology, managers and marketing staff of 20 banks through a questionnaire, and the results show that banks using macro strategy Data gains a competitive advantage. In addition, ethical issues and customer privacy affect the relationship between big data strategy and gaining a competitive advantage.

The performance of the Iranian banking system with a set of challenges takes place in an unstable environment with high uncertainty. The aim of this study is to identify and assess existing and uncertainties affecting the performance of the banking system based on the international indicators of CAMELS to determine the category of critical uncertainties. In this study, an attempt has been made to use a new approach in assessing the uncertainty of the banking system by embedding a social network analysis approach in the KAMELZ performance evaluation model. For this purpose, the future uncertainties of the banking system in terms of the importance of uncertainties in the communication network between them using the SNA social network analysis approach based on the concepts of centrality in the communication network Uncertainties using USINET software It was analyzed and drawn using Net Draw software and critical uncertainties were extracted. Then, the impact of uncertainties on the performance of the banking system is categorized through the Significance-Performance Matrix (IPM). Based on the research findings, the poor economic performance of inflation, exchange rate, tightening of sanctions and increase in financial costs, political instability and its effect on overdue claims of the public and non-governmental sector, digital transformation in the blockchain banking industry and Digital money and government intervention in the allocation of resources and bank management are critical uncertainties for the Iranian banking system

The present study was carried out in order to evaluate and rank the indicators of urban transport sustainability using descriptive-analytical methodology and Delphi methods, best-worst and best priority. In order to achieve the indicators of sustainable transportation in three economic, social and environmental dimensions, the criteria were ranked based on library studies, and the opinion of experts, so as to finalize the criteria of great importance on the research issue to enter the Delphi method, and be used as the evaluation criteria to save time and the number of trips. The final criteria were entered into the weighting and ranking process using the best-worst method and the best priority method. The results of the two methods of best-worst and best priority were compared using statistical methods.Considering that the ranking of the criteria was the same in both methods and the Spearman correlation coefficient was +1, so there is a strong correlation between the criteria.Also, the Pearson correlation coefficient between weights was 0.989 and the significance level was zero, which demonstrate a strong relationship between variables. Therefore, ranking and weighting obtained from the two methods were accepted.