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- Schönbeck, Pia
(författare)
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Data based configuration decisions in hospital construction projects
- 2022
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Doktorsavhandling (övrigt vetenskapligt/konstnärligt)abstract
- The purpose of hospital buildings is to enable the diagnosis, treatment and caring of patients. Hospital configurations are therefore complex and deficient functionality at the final delivery of construction projects are a known issue. Configuration management is essential to ensure that all required functions are fulfilled. Digital building model data can provide the necessary information to support management of hospital configurations. Data based decisions are dependent on a baseline that contains all required functions. Thereafter, connections between data regarding functions, solutions and production methods should be established. This knowledge provides opportunities for automated data analyses giving real time accurate configuration information, enabling the prevention of deviations from the client’s intent and streamlining processes. The studies in this compilation thesis investigate this subject from different perspectives. Literature reviews, case studies and quantitative analyses of digital building data were the methods used. The results show that the systematic management of data and information can ensure hospital configurations that fulfil required functions at handover. These studies provide a conceptual model showing how configuration information applies to the construction project processes. The proposed detailed decision model shows how data from building models can support hospital configuration decisions in construction projects. Studies show that hospital construction projects management of configuration changes information is deficient. Manually managed logs contained insufficient information about the changes, while the building model data unused by the investigated projects was significantly more reliable. A risk analysis shows that data based configuration decisions in construction projects can prevent hospital building deficiencies, or facilitate recovery if they have already occurred. Digital technologies can improve the accuracy of configuration information, on which automated and industrial production equipment are dependent. However, construction project research seldom addresses the potential synergy and sustainability effects of different technologies. All case studies performed show that the current configuration information management in hospital projects is incomplete. Consequences found were cost increase, delays, reduced client value and corrective rework. The overall conclusion is that data based decisions can improve the control over hospital configurations, ensuring healthcare functions, construction project outcomes and sustainability. This thesis identifies a new research field by showing the potential of data based configuration decisions.
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| 2. |
- Schönbeck, Pia
(författare)
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Use of configuration information in construction projects to ensure high performance of healthcare facilities
- 2020
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Licentiatavhandling (övrigt vetenskapligt/konstnärligt)abstract
- The transfer of information between the different phases of construction projects is limited, which complicates the quality assurance of configurations. Functional requirements on the building configuration are often ambiguous and lack measurable acceptance criteria. Vaguely described criteria provide an insufficient basis for the design and verification acceptance values. The contractor is often the first to consider the feasibility just before or during the production phase. However, feasibility including production methods should be considered with the establishment of each design solutions. Costs or time consequences are often the basis for change decisions, while the investigations of the impact on the building configuration and functionality are insufficient. A continuous flow of information with functional requirements as a controlling factor is required to control configurations. Functionality that ensure high quality patient care are essential in health care facilities, therefore the control of the configurations are particularly important.This licentiate thesis shows how configuration information in healthcare construction projects can ensure necessary building functionality. The following information areas are identified as necessary for control of configurations: function, verification, design solution, production and change control. All information is related and changes in one area affect the others, directly or indirectly during construction projects. The studies that are the basis of this licentiate thesis show that the management of configuration information was deficient in healthcare construction projects, especially regarding availability and interconnectivity. In addition, the information was not available at the right time during the construction process, which impaired configuration control. For example, verification methods were not available until the end of production. This precluded verification of intended functionality through large parts of the construction project. Detailed change information from digital models of buildings can significantly improve control of configurations, but this requires standardisation of input data.In the manufacturing industry, configuration management is practised to ensure that products fulfil the required functions throughout their entire lifecycle. Development of new technologies, such as digital processes and industrialised construction, require that construction projects develop working processes similar to those of the manufacturing industry. The risk of unnecessary rework with subsequent cost increases, delays and environmental impact decrease with increased control of the configuration. In construction projects, systematic management of configuration information can ensure delivery of healthcare facilities with intended functionality.
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