This research is concerned with improving the planning process in large construction projects where the management and planning of the preconstruction planning process itself is a significant and complex task. Preconstruction planning in the construction sector has become a complex task requiring substantial collaboration, with ad-hoc teams (especially from design and construction) created to bring all the project resources involved together in a timely manner, to ensure a construction project is completed effectively and efficiently. This, combined with the iterative nature of the planning process, has challenged even the best companies in the industry. Three major weaknesses in current practice were identified in the research: first, the planning preconstruction planning process is heavily reliant on a planner's experience (i.e. a planner develops a new programme of a preconstruction planning through personal determination of the planning tasks and their precedence, starting afresh at the beginning of each project). For large projects this is not only time consuming but subject to the limitations ohhe planner's knowledge and experience, often resulting in simplistic programmes in which many of the dependencies are ignored. Secondly, guesses (i.e. estimates) are frequently made in the planning process, which neither the initial planner nor the downstream planner will later check. They are usually ignored and left until the execution of the plan, when the problems reveal themselves. Finally, the current techniques for the management of preconstruction planning, such as the critical path method and bar charts, cannot account for the iterative nature of the planning process that requires estimations to be made and work to be redone until a satisfactory so lution is developed. As a result, it may be said that preconstruction planning is currently managed poorly. It can be. argued that if preconstruction planning is to be undertaken effectively, it must be better managed and planned.
| Identifer | oai:union.ndltd.org:bl.uk/oai:ethos.bl.uk:536216 |
| Date | January 2008 |
| Creators | Li, Baiyi |
| Publisher | Loughborough University |
| Source Sets | Ethos UK |
| Detected Language | English |
| Type | Electronic Thesis or Dissertation |
| Source | https://dspace.lboro.ac.uk/2134/11181 |
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