Prioritizing and Work Packaging of Multi-Facility Rehabilitation Using Text Mining
Publication: Construction Research Congress 2024
ABSTRACT
Facility management systems aim to maintain an acceptable level of service for the facilities through timely inspections and proper rehabilitation decisions. While inspection reports and maintenance requests embody the key data for all decisions, the manual and subjective nature of this data introduces errors and inconsistencies that complicate rehabilitation decisions. This paper enhances the utilization of inspection and maintenance data for rehabilitation purposes using data mining. Text mining is used to prioritize the components in most need of rehabilitation and trace fault patterns across multiple facility components to facilitate work packaging and crew assignment. An example of a 600-villa housing compound with over 2,000 maintenance requests was used to demonstrate the developed system. Analyses’ results based on component or type of work are then provided, as well as means to schedule required repair work. The paper aims to streamline the rehabilitation work packaging and delivery processes for large facility owners.
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Information & Authors
Information
Published In
Construction Research Congress 2024
Pages: 1201 - 1209
History
Published online: Mar 18, 2024
ASCE Technical Topics:
- Architectural engineering
- Building management
- Buildings
- Computer models
- Construction engineering
- Construction management
- Construction methods
- Data collection
- Engineering fundamentals
- Facilities (by type)
- Facility management
- Inspection
- Maintenance and operation
- Methodology (by type)
- Models (by type)
- Rehabilitation
- Research methods (by type)
- Structural engineering
- Structures (by type)
- Systems engineering
- Systems management
Authors
Metrics & Citations
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