A Bayesian network framework for project cost, benefit and risk analysis with an agricultural development case study

Successful implementation of major projects requires careful management of uncertainty and risk. Yet such uncertainty is rarely effectively calculated when analysing project costs and benefits. This paper presents a Bayesian Network (BN) modelling framework to calculate the costs, benefits, and retu...

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Main Authors: Yet, Barbaros, Constantinou, Anthony, Fenton, Norman, Neil, Martin, Luedeling, Eike, Shepherd, Keith D.
Format: Journal Article
Language:Inglés
Published: Elsevier 2016
Subjects:
Online Access:https://hdl.handle.net/10568/74285
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author Yet, Barbaros
Constantinou, Anthony
Fenton, Norman
Neil, Martin
Luedeling, Eike
Shepherd, Keith D.
author_browse Constantinou, Anthony
Fenton, Norman
Luedeling, Eike
Neil, Martin
Shepherd, Keith D.
Yet, Barbaros
author_facet Yet, Barbaros
Constantinou, Anthony
Fenton, Norman
Neil, Martin
Luedeling, Eike
Shepherd, Keith D.
author_sort Yet, Barbaros
collection Repository of Agricultural Research Outputs (CGSpace)
description Successful implementation of major projects requires careful management of uncertainty and risk. Yet such uncertainty is rarely effectively calculated when analysing project costs and benefits. This paper presents a Bayesian Network (BN) modelling framework to calculate the costs, benefits, and return on investment of a project over a specified time period, allowing for changing circumstances and trade-offs. The framework uses hybrid and dynamic BNs containing both discrete and continuous variables over multiple time stages. The BN framework calculates costs and benefits based on multiple causal factors including the effects of individual risk factors, budget deficits, and time value discounting, taking account of the parameter uncertainty of all continuous variables. The framework can serve as the basis for various project management assessments and is illustrated using a case study of an agricultural development project.
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spelling CGSpace742852024-08-27T10:37:02Z A Bayesian network framework for project cost, benefit and risk analysis with an agricultural development case study Yet, Barbaros Constantinou, Anthony Fenton, Norman Neil, Martin Luedeling, Eike Shepherd, Keith D. project management risk analysis cost-benefit analysis bayesian networks Successful implementation of major projects requires careful management of uncertainty and risk. Yet such uncertainty is rarely effectively calculated when analysing project costs and benefits. This paper presents a Bayesian Network (BN) modelling framework to calculate the costs, benefits, and return on investment of a project over a specified time period, allowing for changing circumstances and trade-offs. The framework uses hybrid and dynamic BNs containing both discrete and continuous variables over multiple time stages. The BN framework calculates costs and benefits based on multiple causal factors including the effects of individual risk factors, budget deficits, and time value discounting, taking account of the parameter uncertainty of all continuous variables. The framework can serve as the basis for various project management assessments and is illustrated using a case study of an agricultural development project. 2016-10 2016-05-23T10:23:33Z 2016-05-23T10:23:33Z Journal Article https://hdl.handle.net/10568/74285 en Limited Access Elsevier Yet, Barbaros;Constantinou, Anthony;Fenton, Norman;Neil, Martin;Luedeling, Eike;Shepherd, Keith.2016.A Bayesian network framework for project cost, benefit and risk analysis with an agricultural development case study.Elsevier.doi:10.1016/j.eswa.2016.05.005
spellingShingle project management
risk analysis
cost-benefit analysis
bayesian networks
Yet, Barbaros
Constantinou, Anthony
Fenton, Norman
Neil, Martin
Luedeling, Eike
Shepherd, Keith D.
A Bayesian network framework for project cost, benefit and risk analysis with an agricultural development case study
title A Bayesian network framework for project cost, benefit and risk analysis with an agricultural development case study
title_full A Bayesian network framework for project cost, benefit and risk analysis with an agricultural development case study
title_fullStr A Bayesian network framework for project cost, benefit and risk analysis with an agricultural development case study
title_full_unstemmed A Bayesian network framework for project cost, benefit and risk analysis with an agricultural development case study
title_short A Bayesian network framework for project cost, benefit and risk analysis with an agricultural development case study
title_sort bayesian network framework for project cost benefit and risk analysis with an agricultural development case study
topic project management
risk analysis
cost-benefit analysis
bayesian networks
url https://hdl.handle.net/10568/74285
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