Abstracts – Browse Results
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Ahern, E (2022) A framework for improving the process of building certification to enhance energy efficiency: the case of Ireland, Unpublished PhD Thesis, , Anglia Ruskin University.
Akande, O K (2015) Factors influencing operational energy performance and refurbishment of UK listed church buildings: towards a strategic management framework, Unpublished PhD Thesis, , Anglia Ruskin University.
Alkhraisha, A (2023) Approaches for enhancing the construction and demolition waste management strategy in Jordan, Unpublished PhD Thesis, , Anglia Ruskin University.
Bispham, J (2008) Historic imported softwood in eastern England: past knowledge, current perceptions and conservation, Unpublished PhD Thesis, , Anglia Ruskin University.
Burrell, P A (2017) Structural errors and failures in construction: is knowledge hidden?, Unpublished PhD Thesis, School of Engineering & the Built Environment, Anglia Ruskin University.
Crabtree, P J (2014) The optimisation of construction management higher education to promote professional competencies and professional capability, Unpublished PhD Thesis, Department of Engineering and the Built Environment, Anglia Ruskin University.
Crascall, L M (2021) Re-imagining built environment education: investigating the pracademic through autoethnography, Unpublished PhD Thesis, , Anglia Ruskin University.
Gale, K (2013) An evaluation of performance improvement within public sector construction framework agreements, Unpublished PhD Thesis, Department of Engineering and the Built Environment, Anglia Ruskin University.
Hobart, C (2019) Building sustainability assessment schemes: The role of criteria in translating aims into effect, Unpublished PhD Thesis, , Anglia Ruskin University.
Muleya, F (2014) Modelling wheeled construction plant performance in clay and sandy terrain : a terramechanics perspective, Unpublished PhD Thesis, Department of Engineering and the Built Environment, Anglia Ruskin University.
Powell, M J V (2003) Built environment and biblical theology: Making connections: Discerning relationships, Unpublished PhD Thesis, , Anglia Ruskin University.
Quarterman, M (2017) Acquisition of higher-order professional competencies: a new synergistic learning model, Unpublished PhD Thesis, School of Engineering & the Built Environment, Anglia Ruskin University.
Talbot, B (2021) A novel data-driven tool to improve construction schedule accuracy, Unpublished PhD Thesis, , Anglia Ruskin University.
- Type: Thesis
- Keywords: accuracy; construction project; duration; performance; productivity; project planning; reinforced concrete; scheduling; bias; optimism bias; interview; questionnaire survey; project performance
- ISBN/ISSN:
- URL: https://arro.anglia.ac.uk/id/eprint/707233/
- Abstract:
Construction schedules are frequently criticised for inaccuracy and poor project performance, including unplanned and preventable costs and delays. Currently, project planning involves the use of rules of thumb and memories of the outcome of previous similar tasks, leading to optimism bias where the predicted duration is shorter than the actual duration. Reinforced concrete (RC) frames are recognised as critical components of tall buildings, with the gap in practice identified as the inaccurate scheduling of RC frame structures. This research aims to produce a novel tool to enhance construction project management by improving construction schedule accuracy in reinforced concrete (RC) frame buildings, with current scheduling practices and site productivity investigated and the tool developed and validated. A questionnaire survey was undertaken to investigate the phenomenon of inaccurate scheduling found in practice, followed by a series of seven interviews to further probe the results of the questionnaire. Six recently completed projects were then examined to determine discrepancies between the predicted and achieved schedule durations. The findings of the data collection were analysed quantitatively, with the duration to install formwork and reinforcement determined to be the most critical tasks to schedule accuracy in RC frame structures. A tool (Calchas) was then created to predict future task durations by collecting and analysing productivity-related data to identify the most likely task duration using reference class forecasting. A novel algorithm was developed to collect and store project performance metrics, where the data is interpreted by a sequence of code and stored in a structured, searchable planning knowledge database. A second novel algorithm was then created with associated code developed to extract relevant data from the database and forecast task durations with a view to increasing the accuracy of the construction schedule and enhancing the planning decisions made.
Vohmann, B (2019) Authentic assessment to enhance undergraduates' learning and development as effective practitioners in built environment disciplines, Unpublished PhD Thesis, , Anglia Ruskin University.
Zhao, Y (2016) Green supply chain management drivers/pressures, practices and performance in Chinese construction industry, Unpublished PhD Thesis, Lord Ashcroft International Business School, Anglia Ruskin University.