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Paper w78-1999-2724:
The development of industry foundation classes for facilities management

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Wix J, Yu K, Ottosen P S

The development of industry foundation classes for facilities management

Abstract:The Industry Foundation Classes (IFCs) are integrated object models of building projects developed by the International Alliance for Interoperability (IAI). The IFCs support data sharing and exchange between industry processes across multiple domains such as architecture, structural engineering, building services, construction and facilities management (FM).Maintenance management is one of the major functions in FM. It requires object information about building systems and components that are generated from different domain processes throughout different stages of the project development life cycle. Supported by the IFCs, this information can remain available until the building operation phase for maintenance processes to use. However, this information requirement must be defined based on detailed analysis of maintenance processes, and must be modeled using a formal modeling methodology, that is, the IFCs.This paper describes the current and proposed developments in facilities management in the IAI, particularly for maintenance. It also discusses a planning 'roadmap' that identifies discrete packages of information that support FM processes.The paper demonstrates a general maintenance process model developed to define the object requirements and interfaces for sharing maintenance information. Based on the process information analysis, the paper develops and presents a set of IFC object models that support the maintenance processes. Additionally, this paper discusses the necessities and capabilities of the IFC maintenance objects to access and utilize external information provided by various library resources.

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Full text:content.pdf (104,206 bytes) (available to registered users only)

Series:w78:1999 (browse)
Cluster:papers of the same cluster (result of machine made clusters)
Class:class.roadmaps (0.045742) class.processing (0.032397) class.standards (0.026452)
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Permission to reproduce these papers has been graciously provided by the Research Press of the National Research Council of Canada. The support of the editors, particularly Dr. Dana Vanier, is gratefully appreciated.

 

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