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کاربرد نوع شرط:
- جایگاه : پژوهشی
- مجله: International Journal of Engineering, Transactions A: Basics
- نوع مقاله: Journal Article
- کلمات کلیدی: Risk Identification,TOPSIS,Fuzzy,ANP,Project Risk Assessment,Power Plant Project,Engineer,Procure,Construct Projects
- چکیده:
- چکیده انگلیسی: Economic growth in developing countries has resulted in increasing demand for infrastructure projects like power plants. To meet these development needs, the government of Iran has engaged companies to carry out power plant projects. While many papers have been written on the subject of project risk management, little information exists on the actual use of risk management in practice. The primary objective of this paper is to identify and rank the risks in these power plant projects. The proposed model allows risks to be ranked based on management priorities using a combined fuzzy analytic network process (fuzzy-ANP) and fuzzy Technique for Order Preference by Similarity to Ideal Solution (fuzzy-TOPSIS) method. Probability and impact are two commonly used criteria in project risk management. However, these criteria do not sufficiently address all aspects of project risk. Moreover, there may be relations and dependencies among the various criteria. Therefore, we proposed a hierarchical structure for ranking risk in power-plant projects. The proposed structure can consider dependence among the different criteria. We use fuzzy-ANP for calculating weights. The outputs of fuzzy-ANP calculations are used in a fuzzy-TOPSIS procedure for the evaluation of important risks. A case study of a power plant project is presented to demonstrate the applicability and performance of the proposed model. More than 100 risks were identified and categorized according to their source and to their relative impact on the project. We evaluated important risks based on the fuzzy-ANP and fuzzy-TOPSIS method. In addition, we used a sensitivity analysis to discuss and explain the results of the method. The proposed method is a suitable approach when performance ratings and weights are vague and imprecise
- انتشار مقاله: 11-10-1348
- نویسندگان: Fereydoon Honari Choobar,Ahad Nazari,Ebrahim Rezaee Nik
- مشاهده
- جایگاه : پژوهشی
- مجله: Advances in Industrial Engineering
- نوع مقاله: Journal Article
- کلمات کلیدی: Genetic Algorithm,Greedy algorithm,Project risk response,Robust optimization model
- چکیده:
- چکیده انگلیسی: Risk management is one of the most important aspects of project management that identifies, assesses and responds to project risks. Although many papers have been published in project risk response, presented tools and methods are poor. Hence, in this paper, we present an optimization model to respond project risk that seeks to optimize two key criteria of project: cost and time. The proposed model has two objectives that one of them is minimization of the total cost that include abatement action cost and the cost of risk loss on project, and the other one is minimization of the time loss of risk (i.e., maximization robust measure) according to a free float activity’s measure. The model tries to choose abatement actions of risk that loss of them on time activity is greater than free float activity. Subsequently, three solution methods (i.e., exact, heuristic and meta-heuristic) are proposed. Then we create ten sample projects in three categories (i.e., small, medium and large scale) and solve the problems with the proposed methods and compare the results.
- انتشار مقاله: 07-10-1393
- نویسندگان: Ebrahim Rezaee Nik,Mohammad Javad Tavasoli Estahbanati
- مشاهده