#AUTODESK QUANTITY TAKEOFF CATALOG ATT UPDATE#
#AUTODESK QUANTITY TAKEOFF CATALOG ATT SOFTWARE#

Such data is essential to enable effective asset and urban management processes, now and for the future. The processes employed for the detailed case study form part of proposed (ultimately) standardised approaches to the gathering, analysis, and sharing, of multi-disciplinary evidence-based data, developed by the authors. This would subsequently lead to the implementation of flawed Building Information Modelling processes for 2, 3, and 4D modelling and mapping, of existing and proposed infrastructure.įollowing a review of existing asset management approaches which confirms the need for qualitative approaches to the analyses of the interfaces, this paper presents findings from a detailed case study, in the Bayswater area of the City of Westminster in West London, UK. Failure to do so could potentially lead to the development of inaccurate asset management data. To achieve this, the authors argue there is a need for a more detailed qualitative analysis of how urban underground metro infrastructure and its environment interface.

#AUTODESK QUANTITY TAKEOFF CATALOG ATT SOFTWARE#

This customization of BIM platforms aims to offer simplified solutions that reduce the facility management staff’s need for advanced BIM software knowledge.Īs urban environments densify and cities across the world employ urban underground metros for the effective rapid movement of millions of people a day, there is an essential need to ensure the safe continued presence and operation of those metros.

The findings set the groundwork for implementing workflow by mapping the rebaselining business processes in each phase, listing the technological requirements for these processes, and explaining the feasibility and examples of customizing building information modeling (BIM) platforms for rebaselining workflows.

#AUTODESK QUANTITY TAKEOFF CATALOG ATT UPDATE#

These workflows address some of the common challenges in managing existing assets, including the fast-paced changes in asset data requirements, the inaccuracies in data and documentation of these existing assets portfolios, and the need to update data and documents over their life cycle. Reporting on two action research case studies with two public owners in the US, this research structures rebaselining in four phases: (1) preparing technology enablers, (2) collecting data from existing documents, (3) conducting field verification, and (4) updating asset management databases.

This paper introduces “rebaselining” as a workflow for collecting reliable and verifiable asset management data for existing facilities and infrastructure.

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