A Predictive Method for Benefits Realisation Through Modelling Uncertainty in Front End Design

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Many projects continue to fail to deliver intended benefits amid uncertainty in benefits realisation (BR) programs. This is more so in Front End Design (FED) where processes remain not only understudied but also informal yet reliant on knowledge sharing. As a result, there is an emergent need for new decision support tools to support benefits delivery processes. The paper addresses uncertainty with FED processes as a way of facilitating decision making as an enabler to benefits delivery of construction projects using uncertainty modelling. The paper adopts a Dempster-Shafer approach using probability theory. This is combined with Quality Function Deployment for user and design requirements capture and management. A conceptual model is suggested that forms a basis
for future validation and evaluations in action research in various contexts. The Paper introduces a novel approach to uncertainty modelling in FED to support decision making. The Dempster-Shafer Bayesian based approach also contributes to new ways for capturing contextual influences to benefits realisation.
Original languageEnglish
Title of host publicationProceedings of 27th Annual Conference of the International Group for Lean Construction (IGLC)
Pages1321- 1332
Number of pages12
Publication statusE-pub ahead of print - 2019
Event27th Annual Conference of the International Group for Lean Construction (IGLC) - Dublin, Ireland -2019 - Dublin, Ireland
Duration: 3 Jul 20195 Jul 2019
Conference number: 27
http://iglc.net/Papers/Details/1703

Conference

Conference27th Annual Conference of the International Group for Lean Construction (IGLC) - Dublin, Ireland -2019
Abbreviated titleIGLC
CountryIreland
CityDublin
Period3/07/195/07/19
Internet address

Fingerprint

Decision making
Quality function deployment
Uncertainty

Cite this

Serugga, J., Kagioglou, M., & Tzortzopoulos, P. (2019). A Predictive Method for Benefits Realisation Through Modelling Uncertainty in Front End Design. In Proceedings of 27th Annual Conference of the International Group for Lean Construction (IGLC) (pp. 1321- 1332)
Serugga, Joas ; Kagioglou, Michail ; Tzortzopoulos, Patricia. / A Predictive Method for Benefits Realisation Through Modelling Uncertainty in Front End Design. Proceedings of 27th Annual Conference of the International Group for Lean Construction (IGLC). 2019. pp. 1321- 1332
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abstract = "Many projects continue to fail to deliver intended benefits amid uncertainty in benefits realisation (BR) programs. This is more so in Front End Design (FED) where processes remain not only understudied but also informal yet reliant on knowledge sharing. As a result, there is an emergent need for new decision support tools to support benefits delivery processes. The paper addresses uncertainty with FED processes as a way of facilitating decision making as an enabler to benefits delivery of construction projects using uncertainty modelling. The paper adopts a Dempster-Shafer approach using probability theory. This is combined with Quality Function Deployment for user and design requirements capture and management. A conceptual model is suggested that forms a basisfor future validation and evaluations in action research in various contexts. The Paper introduces a novel approach to uncertainty modelling in FED to support decision making. The Dempster-Shafer Bayesian based approach also contributes to new ways for capturing contextual influences to benefits realisation.",
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Serugga, J, Kagioglou, M & Tzortzopoulos, P 2019, A Predictive Method for Benefits Realisation Through Modelling Uncertainty in Front End Design. in Proceedings of 27th Annual Conference of the International Group for Lean Construction (IGLC). pp. 1321- 1332, 27th Annual Conference of the International Group for Lean Construction (IGLC) - Dublin, Ireland -2019, Dublin, Ireland, 3/07/19.

A Predictive Method for Benefits Realisation Through Modelling Uncertainty in Front End Design. / Serugga, Joas; Kagioglou, Michail; Tzortzopoulos, Patricia.

Proceedings of 27th Annual Conference of the International Group for Lean Construction (IGLC). 2019. p. 1321- 1332.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Serugga J, Kagioglou M, Tzortzopoulos P. A Predictive Method for Benefits Realisation Through Modelling Uncertainty in Front End Design. In Proceedings of 27th Annual Conference of the International Group for Lean Construction (IGLC). 2019. p. 1321- 1332