جستجوی مقالات مرتبط با کلیدواژه « project risk » در نشریات گروه « مدیریت »

Green building has attracted widespread attention in recent years. Increasing building projects in Iran has had significant environmental impacts and green building implementation is an appropriate approach to reduce the environmental risks. Green building projects are unwittingly exposed to risks that reduce their efficiency, Therefore, identifying and ranking the risk can play a significant role in the success of green building projects. Due to the few studies in this area in Iran, This study aims to provide a new comprehensive framework of all the criteria and risks of green building projects. For this purpose, the first step aims to identify and to screen the risks from the viewpoint of experts in green building projects and introduction of risk assessment criteria. After that, the next step is to apply the SWARA method to obtain the weight of the criteria. Finally, Ranking of the risks of green building projects which is taking into account the results of the initial steps, has been done using the COPRAS method. This is the first attempt to solve a green building project by using a hybrid of SWARA and COPRAS through a case study (Amol). The results show that risks of: the low quality of materials and equipment, the stakeholder resistance to approve the green ideas and lack of realistic goals are very important. The proposed framework can help stakeholders of green building projects in developing countries to manage project risks more efficiently.

Projects are planned based on estimated amounts that are the result of having little information about the future plans. According to the uncertainty of planning, time delays and costs of uncertainty are inevitable. The main objective of this study is to present a new approach based on failure mode and effects analysis and fuzzy logic to identify the affecting risks on duration of projects and ranking them using Kepland technique. In addition, in this research Shannon entropy is used for calculation of the weights of indexes. So after the study of related researches as well as through interviews and Delphi technique, some risks were identified. Then, based on three indicators of risk in the FMEA (severity, probability of occurrence, probability of detection), three questionnaire was prepared and their validity was confirmed by experts and reliability was calculated by Cronbach coefficient using SPSS software. The population of the study is 22 managers and experts that work on Debal Khazaei Company. Using triangular fuzzy numbers, the verbal variables of questionnaires became fuzzy numbers. Shannon entropy is used for calculation of weight of each index. Then, using decision making methods, ELECTRE TAXONOMY, TOPSIS and SAW, the risks are ranked. Finally, because of the relative difference of ranking in different techniques, Kapland technique is used to combine the results. TO help for developing the strategies of responding to the risks, some suggestions are presented. The contribution of this research is the simultaneous use of FMEA and Shannon's entropy to analisys the importance of risks and the ranking of them using Kepland technique.

By a brief overview of the current world, which is a world of competition between organizations, we can discover that what makes companies and organizations outstrip each other in this competition is their ability to provide better products in a wider range and shorter time and keep loyal customers of the organization.
In the current situation, projects are faced with crisis at any moment. The environment of the projects is highly variable and these uncertain conditions are more difficult for larger projects.Due to the nature of the project the risks always exist and the projects are threatened by not completing on time and with allocated costs.
Nowadays achieving excellence in organizations is an essential by which they can move in a more successful way.
Risk management is a way by which organizations can step toward excellence in a current competitive world.
In this research, by reviewing relevant literature, a list of Critical Success Factors (CSFs) is identified to implement risk management. Then these factors are distributed between experts to identify their effects and rate them. Lastly, a framework for the implementation of risk management in projects is provided by means of the final factors.