جستجوی مقالات مرتبط با کلیدواژه « تصمیم گیری چند معیاره » در نشریات گروه « مکانیک »

Iran recognized as one of the major fossil fuel producers in the world with a substantial portion of its energy basket reliant on fossil fuels, is situated in a region of the Earth with high solar radiation potential, making it suitable for solar energy production. The first step towards establishing solar power plants is the scientific and operational site selection for their construction. This study aims to identify suitable locations for solar power plants in Fars Province using a Geospatial Information System (GIS) and a multi-criteria decision-making approach. The proposed methodology involves the preparation of informational layers, spatial analyses, and visualizations using GIS. Additionally, criteria weighting and integration were performed using multi-criteria decision-making techniques. The study compares two methods for weighting the location criteria, Best-Worst Method (BWM) and Step-wise Weight Assessment Ratio Analysis (SWARA), which have been less utilized in previous research, and combines their results using geometric mean operator. According to the results, the criteria for solar power plant site selection, ranked by importance, are photovoltaic potential (0.241), direct normal irradiation (0.156), temperature (0.120), precipitation (0.092), distance from roads (0.089), distance from urban centers (0.085), distance from faults (0.066), and elevation (0.054). The land suitability maps indicate that over 50% of the area in Fars Province is highly or very highly suitable for the construction of solar power plants, with the northern, northeastern, and central regions, including the counties of Abadeh, Khorrambid, Pasargad, and Sarchehan, being prioritized.

The prioritization and verification of space emerging technologies is a multi-step, iterative process that needs to collective intelligence (the participation of all stakeholders), as well as the use of analytical methods to identify requirements. This process begins with identifying specialists who have enough knowledge and experience regarding to each technology, and followed by extracting and evaluating the necessary data, prioritizing technology options, identifying challenging technologies and the essential acquisition strategy, and finally prioritizing them. In this article, we implemented a method to identify and prioritize some space technologies which could be used in the electrical power subsystem (EPS) of a satellite. Based on the results, it would be possible to choose the best method to access the required technology; national development or benefiting of available technology in the market. To evaluate the suggested method, the power subsystem components are divided into three categories: electrical power generation sources, energy storage sources, and power electronic circuits. Applying the proposed method shows that the selected technologies are those is recently used in space. This method can also be applied to other subsystems.

In this study¡ pursuing the goal to determine the priority of these energies by the government and the energy practitioners¡ prioritizing renewable energies in power generation from the perspective of Iran power policymakers and decision maker will be addressed. In this study by the Analytic Network Process (ANP)¡ renewable electricity power plants have been classified¡ the framework of which was based on the role and influence level of sustainable development parameters (economic¡ social and environmental)¡ and Multiple Criteria Decision Making (MCDM)¡ Analytic Network Process-BOCR is carried out. All the measurements in this research are done through Super Decisions software.

Today, most of the organizations due to their environmental conditions and also for increasing their competitiveness power have turned to outsourcing. Outsourcing strategy means to exploit the resources of other companies to improve business process both inland and overseas, internally and externally. Indeed, the process of the selection for this approach, specifically in the current situation is very crucial for airline organizations. Therefore, the present study aimed to select the best and the most efficient methods for maintenance checks in and out of the country. The best way has been sought to answer questions such as, what is the most efficient method for aircraft maintenance checks. What are the selected indexes of maintenance checks for aircraft inside the country and how important are they? should these checks be done inside or outside? Consequently, to achieve the research objectives and answer the above mentioned questions, and also to compare the efficient method we have dealt with Iran Air Tour aircraft maintenance check inside and outside the country, and deciding on inside or outside outsourcing maintenance check by the assistance of experts. In this study, the maintenance check selected criteria, includes trained human resource, time-saving tools and equipment’s, financial condition, management changing, facilities, the expense of all services and method of choice to choose the proper maintenance check of combined AHP technique with TOPSIS multi-criteria decision making and Electre.The survey shows that trained human resources have the most effective influence on the useful maintenance check of aircraft and there is a significant difference between maintenance check inside and outside. The results suggested that in 300 hours maintenance checks, the performance of the foreign organization was better while in 1200 hours maintenance checks the performance of the inner was better.It is worth noting that in the present survey, all of the experts in the field of aircraft maintenance outsourcing were in the Iran Air tour-Airline and the other similar companies. Due to the limitations 51 experts were selected as a sample population.