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Abdullahi, A L (2016) Ethnomimicry: the development of a conceptual model of the Nigerian practice of the end-of-life management of buildings, Unpublished PhD Thesis, , University of Huddersfield.

Alnsour, J A M (2006) Planning and managing the built environment in the context of compliance with residential standards in Jordan, Unpublished PhD Thesis, , University of Huddersfield.

Bani Ismail, L (2012) An evaluation of the implementation of total quality management within the construction sector in the United Kingdom and Jordan, Unpublished PhD Thesis, Huddersfield Business School, University of Huddersfield.

Biotto, C (2019) Integration of overlapped design and construction stages through location-based planning tools, Unpublished PhD Thesis, School of Art, Design and Architecture, University of Huddersfield.

Egbele-Okoro, K U (2020) Examining health and safety through the Lean thinking lens: the case of the Nigerian construction industry, Unpublished PhD Thesis, , University of Huddersfield.

Kemmer, S (2018) Development of a method for construction management in refurbishment projects, Unpublished PhD Thesis, School of Art, Design and Architecture, University of Huddersfield.

Khan, S (2017) Using the last planner system and lean principles to improve workflow in BIM-based building design projects, Unpublished PhD Thesis, School of Art, Design and Architecture, University of Huddersfield.

Nguyen, Q A (2023) Application of Ji Koutei Kanketsu (JKK) for design risk management in highway construction projects, Unpublished PhD Thesis, , University of Huddersfield.

Seed, L (2015) The dynamics of BIM adoption: a mixed methods study of BIM as an innovation within the United Kingdom construction industry, Unpublished PhD Thesis, Huddersfield Business School, University of Huddersfield.

Serugga, J (2020) A decision support system for benefits realisation in front end design of construction projects in dynamic contexts, Unpublished PhD Thesis, , University of Huddersfield.

  • Type: Thesis
  • Keywords: decision support; reliability; uncertainty; construction project; decision making; design decision; design practice; forecasting; life cycle; lifecycle; nD modelling; nD modelling; probability; project performance; case study; mathematical modelling
  • ISBN/ISSN:
  • URL: http://eprints.hud.ac.uk/id/eprint/35414/
  • Abstract:
    There is an increasing interest in the performance of construction projects, focussing on measurable value delivery. This research proposes a novel decision support system to support Front End Design (FED) decision making in addressing continuing value constraints in the delivery of project benefits. Stakeholder involvement and interests in projects that impact on project requirements understanding and management often means competing and sometimes conflicting requirements. However, projects now face increasing expectations to cope with emergent needs, which adds to uncertainty in the design process. As a result, there are continuing challenges in understanding and measuring project performance in terms of derived benefits. Increasingly, research points to the need for new understanding of FED processes on account of their vital contribution to value generation throughout the project life cycle. Much of current design practice however relies on qualitative explanatory/rationalistic methods to model uncertainty and predict changes in use cases in projects. The reliability of the approaches in the face of myriad, often conflicting and competing stakeholder interests in AEC design is increasingly under focus. This research adopts a mixed-methods approach in developing, validating and evaluating the proposed system in two case study project contexts for comparative assessment of the modelling results. The research formalises a new decision system (DESIDE), in exploring mathematical modelling based on Bayesian probabilistic models and proposes a new system focussed on the utility of decision making in the realisation of project benefits. The research explores the use of probability theory and appropriate mathematical approaches in the management and modelling of requirements and uncertainty during design decision making. The research also explores the use of complementary requirements forecasting modelling in a holistic integrated modelling approach. The research contributes to knowledge through 1) the new decision system that presents new frontiers in empirical evaluation of FED Benefits Realisation, 2) presenting an integrated analytical modelling approach of project requirements modelling in FED with a focus on the full project lifecycle performance based on analytical utility assessments and cause-effect modelling and 3) presenting a new integrated forecast and uncertainty probabilistic modelling approach of requirements in FED to support benefits realisation in projects.

Talebi, S (2019) Improvement of dimensional tolerance management in construction, Unpublished PhD Thesis, School of Art, Design and Architecture, University of Huddersfield.

Zainal Abidin, N A (2018) Resilience of Malaysian public sector construction industry to supply chain disruptions, Unpublished PhD Thesis, School of Art, Design and Architecture, University of Huddersfield.