Data-Driven Voids Asset Surveys for Lifecycle Management

A leading defence facilities provider engaged MostonASSET to support a comprehensive voids asset survey, covering both internal and external structural assessments across military accommodation.

2023

Lifecycle

Background

A leading defence facilities provider engaged MostonASSET to support a comprehensive voids asset survey, covering both internal and external structural assessments across military accommodation. The project focused on capturing detailed condition data for fittings, services, and superstructures to support maintenance planning and asset lifecycle tracking.

Challenges
  • Surveying multiple void properties with varying asset conditions.

  • Ensuring complete coverage of internal finishes, mechanical and electrical systems, and external structures.

  • Standardising data collection to align with the client’s asset management framework.

  • Coordinating with regional and site managers to ensure efficient access and minimal disruption.

Our Approach
  • Provided specialist survey support to assess fittings, furnishings, services, and superstructures.

  • Assisted in capturing structured condition data, including wall finishes, HVAC systems, sanitary appliances, and external structures.

  • Helped implement a standardised condition grading system, ensuring consistency across all void properties.

  • Worked closely with regional managers and site delivery teams for seamless execution.

Results
  • Successfully supported the survey of all targeted void properties, ensuring full internal and external asset coverage.

  • Contributed to the development of a structured dataset for long-term maintenance and asset lifecycle planning.

  • Enabled data-driven decision-making by categorising asset conditions across key infrastructure areas.

  • Assisted in establishing a repeatable framework, allowing for future scalability of voids asset surveys.

Conclusion

By supporting this voids asset survey, MostonASSET helped deliver a fully validated and structured asset dataset that enhances maintenance planning and lifecycle management. This project establishes a best-practice framework for future void property assessments.