The construction industry is plagued by risk and often has suffered poor performance as a result. There are a number of risk management techniques available to help alleviate this, but usually these are based on operational research techniques developed in the 1960s, and for the most part have failed to meet the needs of project managers. In this paper, a hierarchical risk breakdown structure representation is used to develop a formal model for qualitative risk assessment. A common language for describing risks is presented which includes terms for quantifying likelihoods and impacts so as to achieve consistent quantification. The relationships between risk factors, risks and their consequences are represented on cause and effect diagrams. These diagrams and the concepts of fuzzy association and fuzzy composition are applied to identify relationships between risk sources and the consequences for project performance measures. A methodology for evaluating the risk exposure, considering the consequences in terms of time, cost, quality, and safety performance measures of a project based on fuzzy estimates of the risk components is presented.Construction Projects Common Language Fuzzy Logic Project Performance Qualitative Risk Assessment,
An 18-month project, funded by the Health and Care Infrastructure Research and Innovation Centre (HaCIRIC), examined PBC frameworks in England, investigating the impact of different models of governance on the development of service redesign proposals to answer the following questions: How do clinicians interpret the multiplicity of guidance from government agencies and translate this into knowledge that can be effectively used to redesign patient care pathways aligned with local healthcare priorities? How can understanding patient and staff "experiences" and key "touch points" of interaction with local healthcare services be used to provide a creative, customized solution to the design of healthcare services in a local, community-based framework?
The construction industry is greatly plagued by risk; too often, this risk is not dealt with adequately, resulting in poor project performance. Communication of construction project risks in practice is poor, incomplete and inconsistent, both throughout the supply chain and through the project lifecycle. Part of the problem is the lack of a formalized approach to the project risk management process. Recently, attempts have been made to overcome this and this paper uses these attempts as a foundation for building a better approach to construction risk management. Underlying this approach is the development of a common language for describing risks and remedial actions. This is grounded in a taxonomy of risk based on a hierarchical risk breakdown structure. In addition, to facilitate the production of a working risk management system, a number of models have been developed using unified modelling language (UML) and IDEFO. Finally, the use of the system has been tested via a working software prototype. This prototype is being used as a basis for discussion with practitioners with regard to the practical requirements of the approach for further development.
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