Hiwa Farughi; Seiran Alaniazar; Seyedhamed Mousavipour; Vahed Moradi
Abstract
Nowadays, most of developed and developing countries, because of both limited resources and growing competitive markets, looking for to diagnose the causes of projects delay and are trying to develop solutions for decreasing amount of delay in next projects. In this paper initially notions related to ...
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Nowadays, most of developed and developing countries, because of both limited resources and growing competitive markets, looking for to diagnose the causes of projects delay and are trying to develop solutions for decreasing amount of delay in next projects. In this paper initially notions related to delay, project risk management, Failure Mode Effects and Analysis (FMEA) method have been reviewed and also construction projects of Kurdistan state organization of schools renovation have been examined. Then a framework based on Fuzzy FMEA and AHP model have been proposed in order to recognize the most important risks and determining the amount of effects of these risks on main objective of projects (i.e. time, cost and quality) and estimating their occurrence probabilities. Meanwhile along with calculating importance coefficient of factors, some ideas to prevent or decrease consequences of these factors have been recommended
Alireza Alinezhad; Niki Jalili Taghavian
Volume 13, Issue 39 , January 2016, , Pages 115-144
Abstract
Improving products quality and services is the best and most important factor to win competitors and get majority of the market share. In this regard, Failue mode and Effect analysis is an efficient tool to improve the quality products. Considering many criticisms to taraditional method, the risk priority ...
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Improving products quality and services is the best and most important factor to win competitors and get majority of the market share. In this regard, Failue mode and Effect analysis is an efficient tool to improve the quality products. Considering many criticisms to taraditional method, the risk priority number in FMEA is formed by multiplying of three factors (seveirity, Occurrence and Detect). In order to existing defects, a new method to calculate the risk priority number in FMEA based on data envelopment analysis method is introduced. The aim of this study is to provide a new kind of risk priority number by assigning different weights to each of the risk factors. Also according to severity, Occurance and detection numbers that are achieved by a team of experts and are not a constant and certain factor, in this research has been used Robust optimization because of covering the result of DEA and less complexity. The results of example indicate that, proposed model is more effective than traditional RPN and provide a full ranking.
