Eldon is part of a consortium that developed three residential/nursing schemes under a Private Finance Initiative (PFI) for the Homes for the Future (New for Old) Project with Croydon Council. Eldon is currently managing the schemes and FFT was appointed to undertake stock condition surveys.
- To formulate a schedule of components, cost rates and life-cycles appropriate to the PFI schemes and refine this for ancillary furnishings and fittings based on replacement purchase cost information provided by Eldon.
- To retain a data structure similar to previous stock condition survey projects conducted for Eldon.
- Data was to be provided for 100% of communal parts and individual residences.
- Although of recent construction (2008-2010), the buildings were extensive structures with adjoining day centres and multiple communal facilities for residential and nursing care use.
- We required access to all areas in order to record the data on a room by room basis
We reviewed security on the schemes with our client and made our access arrangements via the scheme officers. The surveys were conducted at weekends when activity levels within the day centres and communal areas were deemed to be lower.
Due to the homogeneity of the bedrooms, our client had accepted that a representative sample survey with cloning would be an appropriate and cost effective method of data capture for these areas. The survey focused on the day centres and common parts and facilities within the residential sections of the blocks and the external envelope.
Due to the recent construction of the schemes, the majority of components were still within their first replacement cycle and our survey very much took on the form of an itinerary of components. However, this was a considerable task returning over 9,000 rows of component data across the three locations.
Upon commencing the site inspections, we noted that the current asset numbering and naming on site was not always accurately reflected in the desktop information provided to us. We provided an updated asset list to our client based upon our site findings and profiling.
We also built in a considerable volume of furnishings and fittings within our data-set which is outside of the traditional stock condition data.