The Impact of Uncertainty on Earned Value Analysis

ABSTRACT This dissertation was carried out to study the impact of uncertainty factors on Earned Value Management (EVM). There are many uncertainty factors associated with Earned Value Analysis (EVA), one of the main factors being predicting the Budget for each month. The primary objective of this di...

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Main Author: Ur Rahman, Ubaid
Format: Dissertation (University of Nottingham only)
Language:English
Published: 2011
Online Access:https://eprints.nottingham.ac.uk/25073/
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author Ur Rahman, Ubaid
author_facet Ur Rahman, Ubaid
author_sort Ur Rahman, Ubaid
building Nottingham Research Data Repository
collection Online Access
description ABSTRACT This dissertation was carried out to study the impact of uncertainty factors on Earned Value Management (EVM). There are many uncertainty factors associated with Earned Value Analysis (EVA), one of the main factors being predicting the Budget for each month. The primary objective of this dissertation was to study the impact of uncertainty on EVA by carrying out EVA without using Monte Carlo Simulation (MCS) and by carrying out EVA using MCS. The results obtained from both the analysis are compared and checked if MCS helps to reduce the uncertainty associated with EVA. The result of this research pointed out that MCS does reduce the uncertainty associated with EVA by adjusting the values of Budget at completion (BAC). Crystal Ball software was used to perform MCS in order to obtain the mean value used to carry out EVA. Comparisons made thus show that the uncertainty associated with BAC are reduced after every month as the project progresses by taking into account the Actual Cost spent after each month.
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spelling nottingham-250732018-01-31T00:14:13Z https://eprints.nottingham.ac.uk/25073/ The Impact of Uncertainty on Earned Value Analysis Ur Rahman, Ubaid ABSTRACT This dissertation was carried out to study the impact of uncertainty factors on Earned Value Management (EVM). There are many uncertainty factors associated with Earned Value Analysis (EVA), one of the main factors being predicting the Budget for each month. The primary objective of this dissertation was to study the impact of uncertainty on EVA by carrying out EVA without using Monte Carlo Simulation (MCS) and by carrying out EVA using MCS. The results obtained from both the analysis are compared and checked if MCS helps to reduce the uncertainty associated with EVA. The result of this research pointed out that MCS does reduce the uncertainty associated with EVA by adjusting the values of Budget at completion (BAC). Crystal Ball software was used to perform MCS in order to obtain the mean value used to carry out EVA. Comparisons made thus show that the uncertainty associated with BAC are reduced after every month as the project progresses by taking into account the Actual Cost spent after each month. 2011-09-23 Dissertation (University of Nottingham only) NonPeerReviewed application/pdf en https://eprints.nottingham.ac.uk/25073/1/Ubaid_U_Rahman_MSc_Dissertation.pdf Ur Rahman, Ubaid (2011) The Impact of Uncertainty on Earned Value Analysis. [Dissertation (University of Nottingham only)] (Unpublished)
spellingShingle Ur Rahman, Ubaid
The Impact of Uncertainty on Earned Value Analysis
title The Impact of Uncertainty on Earned Value Analysis
title_full The Impact of Uncertainty on Earned Value Analysis
title_fullStr The Impact of Uncertainty on Earned Value Analysis
title_full_unstemmed The Impact of Uncertainty on Earned Value Analysis
title_short The Impact of Uncertainty on Earned Value Analysis
title_sort impact of uncertainty on earned value analysis
url https://eprints.nottingham.ac.uk/25073/