Abstract
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 prese
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Abstract
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.
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