'West Africa Built Environment Research (WABER) Conference'
Abstract
Private Finance Initiative (PFI) has become a major procurement method in the UK and
worldwide. The number of signed PFI deals is growing, but competition is restricted to
those companies that are able to afford the initial investment. The bidding cost of PFI
projects are high, and bidding companies are not compensated if the client does not award
them the project. This is the reason behind several recent high-profile tender xvithdra« als.
and is considered a major barrier for private companies wanting to take part in the bidding
process.
There is an obvious need for a tool to enable construction organizations to participate in PFI
projects; one that can support these organizations in a decision-making process that is
compatible with their project selection strategies, and will allow them to bid for PFI projects
with clearer goals and reduced costs. A computer-based financial model was developed to
predict the cost and cash flow of PFI projects, enabling project teams to assess investment
decisions at the tendering stage. The proposed model consists of four modules to identify
the required building area, predict the construction cost, distribute the occupancy cost, and
predict the cash flow of the project. The output of the model provides the project investment
results, such as the Net Present Value (NPV), Internal Rate of Return (IRR), Debt Service
Coverage Ratio (DSCR), payback period and investment growth ratio. The model can
predict the unitary payment but also allows the user to define the unitary payment. The
reports of the model contain the cash flow and investment ratio for both types of unitary
payment.
The model attempts to provide the information required to assess the feasibility and
affordability of the project. It gives the private sector the chance to assess the project before
they spend unrecoupable funds on the project. It allows the public sector to determine the
project cost, cash flow, unitary charge, and provide the information to be used for the Public
Sector Comparator. The data required for the development of the model was collected from
different sources. The model was initially developed on spreadsheet software: the final
version was transformed into a web-based model using the Hypertext Preprocessor (PHP)
and Javascript programming languages. The completed model was then sent to many
practitioners for validation and assessment of both the concept and numerical application.
The responses received show the valuable role the model could play in PFI projects.Ministry of Higher Education, Saudi Arabi