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References 69<br />

were respectively considered to be 30%, 60% and 40% as important<br />

as the improvement in course structure.<br />

(a) When the Simple Multi-attribute Rating Technique (SMART)<br />

was applied to the scores and weights the following aggregate<br />

scores were obtained for the non-monetary attributes.<br />

<strong>University</strong> Aggregate score<br />

Barchester 66.96<br />

Cramwich 65.65<br />

Denford 53.04<br />

Enton 26.09<br />

Flowton 34.35<br />

Show how the score for Barchester university was obtained.<br />

(b) Identify the universities which lie in the efficient frontier.<br />

(c) The company would be prepared to pay $30 000 for an improvement<br />

in a university’s teaching facilities from that equivalent to<br />

the worst university to that equivalent to the best (all else<br />

remaining equal). Identify the university it should choose<br />

(assuming that the original weights apply).<br />

(d) The intuitive choice of the television company’s managers differs<br />

from that recommended by your SMART model. Briefly<br />

discuss why this discrepancy may have arisen and how it might<br />

be resolved.<br />

References<br />

1. Wright, G. (1984) Behavioral Decision Theory, Sage, Beverly Hills, California.<br />

2. Keeney, R. L. (1982) Decision Analysis: An Overview, Operations Research,<br />

30, No. 5, 803–837.<br />

3. Keeney, R. L. and Raiffa, H. (1976) Decisions with Multiple Objectives: Preferences<br />

and Value Tradeoffs, Wiley, New York.<br />

4. Edwards, W. (1971) Social Utilities, Engineering Economist, Summer Symposium<br />

Series, 6.<br />

5. Watson, S. R. and Buede, D. M. (1987) Decision Synthesis, Cambridge <strong>University</strong><br />

Press, Cambridge.<br />

6. Wooler, S. and Barclay, S. (1988) Strategy for Reducing Dependence on<br />

a Strike-prone Production Facility, in P. Humphreys, A. Vari, J. Vecsenyi<br />

and O. Larichev (eds) Strategic Decision Support Systems, North-Holland,<br />

Amsterdam.

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