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Graduate diploma - The Chartered Institute of Purchasing and Supply

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2.4 Analyse client-contractor<br />

relationships where the<br />

requirement cannot be<br />

clearly specified in<br />

advance<br />

• <strong>The</strong> need for senior level<br />

involvement by the client,<br />

contractor <strong>and</strong> other<br />

participants<br />

• Frequent <strong>and</strong> structured<br />

interaction between client,<br />

contract manager <strong>and</strong><br />

contractor project manager<br />

<strong>and</strong> other relevant levels<br />

• <strong>The</strong> provision <strong>of</strong> financial<br />

<strong>and</strong> management<br />

information appropriate to<br />

each level <strong>of</strong> interaction in<br />

a timely manner.<br />

3.0 PRINCIPLES UNDERLYING<br />

THE SELECTION OF<br />

FUNDING METHODS AND<br />

FINANCIAL MODELS FOR<br />

MAJOR PROJECTS<br />

(Weighting 25%)<br />

3.1 Critically assess the<br />

arguments <strong>and</strong> principles<br />

underlying the selection <strong>of</strong><br />

conventional or privately<br />

financed funding for major<br />

projects<br />

• PPP/PFI rules <strong>and</strong> guidance<br />

• Types <strong>of</strong> projects eg IT,<br />

building <strong>and</strong> civil<br />

engineering<br />

• Other quasi-public funding<br />

sources eg grants, awards,<br />

lottery funds<br />

• Proposals for improving<br />

guidance <strong>and</strong> procedures<br />

for the selection <strong>of</strong><br />

conventional or private<br />

finance, drawing upon best<br />

practice <strong>and</strong> evidence from<br />

completed projects.<br />

45<br />

3.2 Critically evaluate the<br />

most appropriate financial<br />

models for major projects<br />

• Estimating whole life costs<br />

• Benefits <strong>and</strong> income<br />

streams <strong>of</strong> completed<br />

projects to determine<br />

correctness <strong>of</strong> assumptions<br />

• <strong>The</strong> accuracy <strong>of</strong> forecasts<br />

<strong>and</strong> robustness <strong>of</strong> the data<br />

on which they are based<br />

• Non-quantifiable factors<br />

which may have impacted<br />

on the project.

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