Forecasting project duration by Earned Duration Management and Risk Management

Being observed frequently that projects cannot achieve to their plan duration and their budget. Utilizing retrospective method is one of the reasons for this problem. In this research two method, Earned Duration Management and risk management, has been used to remove the gap of the plan and the real...

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Main Authors: Akbar Alamtabriz, Farnoosh Khaledian, Mostafa Mehdipour
Format: Article
Language:fas
Published: University of Tehran 2016-07-01
Series:مدیریت صنعتی
Subjects:
Online Access:https://imj.ut.ac.ir/article_60656_3eee30ba0cce6365982d75a302dcf736.pdf
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author Akbar Alamtabriz
Farnoosh Khaledian
Mostafa Mehdipour
author_facet Akbar Alamtabriz
Farnoosh Khaledian
Mostafa Mehdipour
author_sort Akbar Alamtabriz
collection DOAJ
description Being observed frequently that projects cannot achieve to their plan duration and their budget. Utilizing retrospective method is one of the reasons for this problem. In this research two method, Earned Duration Management and risk management, has been used to remove the gap of the plan and the reality; this enable the project to utilize both high accuracy of the first method and prophecy of the second tool. First, control limits were made by Monte Carlo simulation; then, the risks were recognized, after that, project was simulated under the condition that assumed critical risk has happened. At the end, if the simulated indexes violate the limits it will be a signal that program should be revised. The final estimated duration is about two month more than the row plan, that it shows the necessity of taking accounts of risks during planning.
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spelling doaj.art-9446b5e2dc064809a99ac1a796ac7b6d2022-12-21T23:37:42ZfasUniversity of Tehranمدیریت صنعتی2008-58852423-53692016-07-018221724010.22059/imj.2016.6065660656Forecasting project duration by Earned Duration Management and Risk ManagementAkbar Alamtabriz0Farnoosh Khaledian1Mostafa Mehdipour2Prof., in Management, Shahidbeheshti University, Tehran, IranM.Sc. Student Industrial Management, Islamic Azad University, Tehran, IranMSc. Student Biomedical Engineering, Amirkabir University of Technology, Tehran, IranBeing observed frequently that projects cannot achieve to their plan duration and their budget. Utilizing retrospective method is one of the reasons for this problem. In this research two method, Earned Duration Management and risk management, has been used to remove the gap of the plan and the reality; this enable the project to utilize both high accuracy of the first method and prophecy of the second tool. First, control limits were made by Monte Carlo simulation; then, the risks were recognized, after that, project was simulated under the condition that assumed critical risk has happened. At the end, if the simulated indexes violate the limits it will be a signal that program should be revised. The final estimated duration is about two month more than the row plan, that it shows the necessity of taking accounts of risks during planning.https://imj.ut.ac.ir/article_60656_3eee30ba0cce6365982d75a302dcf736.pdfEarned Duration ManagementRisk Managementproject statistical controlRisk Failure Mode and Effect Analysis
spellingShingle Akbar Alamtabriz
Farnoosh Khaledian
Mostafa Mehdipour
Forecasting project duration by Earned Duration Management and Risk Management
مدیریت صنعتی
Earned Duration Management
Risk Management
project statistical control
Risk Failure Mode and Effect Analysis
title Forecasting project duration by Earned Duration Management and Risk Management
title_full Forecasting project duration by Earned Duration Management and Risk Management
title_fullStr Forecasting project duration by Earned Duration Management and Risk Management
title_full_unstemmed Forecasting project duration by Earned Duration Management and Risk Management
title_short Forecasting project duration by Earned Duration Management and Risk Management
title_sort forecasting project duration by earned duration management and risk management
topic Earned Duration Management
Risk Management
project statistical control
Risk Failure Mode and Effect Analysis
url https://imj.ut.ac.ir/article_60656_3eee30ba0cce6365982d75a302dcf736.pdf
work_keys_str_mv AT akbaralamtabriz forecastingprojectdurationbyearneddurationmanagementandriskmanagement
AT farnooshkhaledian forecastingprojectdurationbyearneddurationmanagementandriskmanagement
AT mostafamehdipour forecastingprojectdurationbyearneddurationmanagementandriskmanagement