A Consistency-Checking Consensus-Building Method to Assess Complexity of Energy Megaprojects

Ehsan Kian Manaesh Rad, Ming Sun, Frederic Nicolas Bosche

Research output: Contribution to conferencePaper

Abstract

World energy needs are predicted to be 50% higher in 2030 than in 2007. As a result, an increasing number of energy megaprojects are being considered by governments and enterprises. Megaprojects are defined by their size, complexity, long duration and high demands on resources and technology. The practice and outcomes of megaprojects have shown an alarming rate of failure, with complexity aspects having been recognised as one of the main causes of these failures. Existing research scarcely exhibits robust methods for complexity evaluation which can be used effectively in practice. This research aims to tackle this problem by developing a Project Complexity Assessment (PCA) tool robustly built using a mathematical Group Decision Making (GDM) method integrating consistency-checking and consensus-building processes. Firstly a taxonomy of Project Complexity Indicators (PCIs) is introduced to establish the underpinning structure of the method. Then, an approach integrating the Delphi and Analytic Hierarchy Process (AHP) was opted for to elicit the consolidated weights of the PCIs. In the process of GDM, it is required that experts reach a high level of consensus between them. Also in any decision making method, only consistent and rational information which does not entail any type of contradiction should be applied in the process. Therefore a method is proposed to integrate a new automatic consistency checking process with a consensus building system. This advises experts how to change their judgements towards an aggregated consensus. Finally, robust numerical rating criteria were developed for all PCIs, critically enabling the use of the produced PCA tool in practice. Such an application is demonstrated in an energy megaproject case study, highlighting the potential benefits of the produced PCA tool in practice.
Original languageEnglish
Publication statusPublished - 2015
Event29th IPMA World Congress - Panama, Panama
Duration: 28 Sep 201530 Sep 2015

Conference

Conference29th IPMA World Congress
CountryPanama
CityPanama
Period28/09/1530/09/15

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Decision making
Analytic hierarchy process
Taxonomies
Industry

Cite this

Kian Manaesh Rad, E., Sun, M., & Bosche, F. N. (2015). A Consistency-Checking Consensus-Building Method to Assess Complexity of Energy Megaprojects. Paper presented at 29th IPMA World Congress, Panama, Panama.
Kian Manaesh Rad, Ehsan ; Sun, Ming ; Bosche, Frederic Nicolas. / A Consistency-Checking Consensus-Building Method to Assess Complexity of Energy Megaprojects. Paper presented at 29th IPMA World Congress, Panama, Panama.
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Kian Manaesh Rad, E, Sun, M & Bosche, FN 2015, 'A Consistency-Checking Consensus-Building Method to Assess Complexity of Energy Megaprojects' Paper presented at 29th IPMA World Congress, Panama, Panama, 28/09/15 - 30/09/15, .

A Consistency-Checking Consensus-Building Method to Assess Complexity of Energy Megaprojects. / Kian Manaesh Rad, Ehsan; Sun, Ming; Bosche, Frederic Nicolas.

2015. Paper presented at 29th IPMA World Congress, Panama, Panama.

Research output: Contribution to conferencePaper

TY - CONF

T1 - A Consistency-Checking Consensus-Building Method to Assess Complexity of Energy Megaprojects

AU - Kian Manaesh Rad, Ehsan

AU - Sun, Ming

AU - Bosche, Frederic Nicolas

PY - 2015

Y1 - 2015

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AB - World energy needs are predicted to be 50% higher in 2030 than in 2007. As a result, an increasing number of energy megaprojects are being considered by governments and enterprises. Megaprojects are defined by their size, complexity, long duration and high demands on resources and technology. The practice and outcomes of megaprojects have shown an alarming rate of failure, with complexity aspects having been recognised as one of the main causes of these failures. Existing research scarcely exhibits robust methods for complexity evaluation which can be used effectively in practice. This research aims to tackle this problem by developing a Project Complexity Assessment (PCA) tool robustly built using a mathematical Group Decision Making (GDM) method integrating consistency-checking and consensus-building processes. Firstly a taxonomy of Project Complexity Indicators (PCIs) is introduced to establish the underpinning structure of the method. Then, an approach integrating the Delphi and Analytic Hierarchy Process (AHP) was opted for to elicit the consolidated weights of the PCIs. In the process of GDM, it is required that experts reach a high level of consensus between them. Also in any decision making method, only consistent and rational information which does not entail any type of contradiction should be applied in the process. Therefore a method is proposed to integrate a new automatic consistency checking process with a consensus building system. This advises experts how to change their judgements towards an aggregated consensus. Finally, robust numerical rating criteria were developed for all PCIs, critically enabling the use of the produced PCA tool in practice. Such an application is demonstrated in an energy megaproject case study, highlighting the potential benefits of the produced PCA tool in practice.

M3 - Paper

ER -

Kian Manaesh Rad E, Sun M, Bosche FN. A Consistency-Checking Consensus-Building Method to Assess Complexity of Energy Megaprojects. 2015. Paper presented at 29th IPMA World Congress, Panama, Panama.