The need to overcome challenges faced by construction industry has been at the core of many government reports. Most of the reports suggest the adoption of innovations including off-site manufacture and emerging Building Information Modelling (BIM) to overcome the challenges facing the industry. Current research has largely focused on the impacts of off-site manufacture and BIM independently applied on traditional construction methods. Due to the factory-based nature of off-site manufacture, the benefits of BIM on off-site manufacture have been widely argued to be far greater than those of traditional construction. However, studies about impacts of BIM on off-site manufacture are scarce with far too many on traditional construction. This study investigates the implications of BIM systems on off-site manufacture and traditional construction methods, with emphasis on the technological potential of BIM for off-site manufacture. The specific objectives of the study are threefold. Firstly, it examines how BIM can support off-site manufacture. Secondly, the paper discusses the benefits of BIM and explains how BIM can overcome barriers hindering the uptake of off-site manufacturing. Thirdly, due to the importance to measure the benefits to support wider adoption, an examination of the published quantitative benefits of BIM on off-site manufacture and traditional construction is undertaken. A critical appraisal of the literature was undertaken to achieve the aim of this study. The main findings are the identification of qualitative and quantitative benefits of: BIM on off-site manufacture, off-site manufacture and BIM on traditional construction. The findings reinforce the argument that BIM adoption on off-site manufacturing projects is a rapid, efficient and one of the best ways to improve on the long standing challenges that have plagued the construction industry for generations.
Research on digitizing the various aspects of a typical building project has been on the increase since the advent of Building Information Modelling (BIM). Most efforts build on information technology capabilities already achieved in the various professional domains associated with different stages of the building life cycle. It is predicted that BIM will help to drastically reduce errors, fast-track project delivery time and save implementation costs. As such BIM is now being utilized in the various professional domains and project stages. However, research suggests that the building operation and management stage is being left behind despite the abundance of data collected using building management systems (BMS) of varying degrees of sophistication. It is therefore important to consider exploring BIM applications that encompasses the building operation phase. This will enhance the evaluation of building performance in use and provide feedback to the design stage which could help eliminate design-related performance issues. A framework for utilizing feedback loops from building energy consumption to inform and improve design and facility management in a BIM environment is therefore proposed. A prototype illustrating the framework is implemented in .NET framework interfaced with a BIM-enabled tool and tested in the refinement of a pre-designed school using data from the operations phase of another school delivered previously. We conclude that the framework developed in this research can contribute to bridging existing gaps between the design, construction and operation phases of a building's life-cycle.
The selection of a competent architect is vital to the success of a development. Like in many developed countries, developers in Hong Kong select architects based on a set of criteria. Price is not the only consideration in the process, and decisions rely heavily on subjective judgement. By conducting a questionnaire survey, the research reported here identified the common criteria for selection and their relative importance for an objective selection. This involved the use of an evaluation method called the analytical hierarchy process (AHP). Survey data from projects with similar characteristics were used to compute the criteria weights. Multi-criteria models for seven out of 27 categories of project were built with reference to the computed weights derived from the survey. In addition, a computer program, called the Architectural Consultant Selection System (ACSS), was designed to illustrate a logical approach for the evaluation of prospective consultant architects based on the models constructed.Selection Criteria, Analytical Hierarchy Process, Consultant Architect,
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