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3<br />

Decisions involving multiple<br />

objectives: SMART<br />

Introduction<br />

As we saw in the last chapter, when decision problems involve a number<br />

of objectives unaided decision makers tend to avoid making trade-offs<br />

between these objectives. This can lead to the selection of options<br />

that perform well on only one objective, or the rejection of relatively<br />

attractive options because their good performance on several objectives<br />

is not allowed to compensate for poor performance elsewhere. A laptop<br />

computer is rejected because of its slow processor speed, despite its<br />

compactness, reliability and low price. A supplier is chosen because<br />

of his low price, despite his slow delivery times and poor after-sales<br />

service. These problems arise because the unaided decision maker has<br />

‘limited information-processing capacity’ (Wright 1 ). When faced with<br />

a large and complex problem, there may be too much information to<br />

handle simultaneously so the decision maker is forced to use simplified<br />

mental strategies, or heuristics, in order to arrive at a choice.<br />

This chapter will explore how decision analysis can be used to support<br />

decision makers who have multiple objectives. As we stated in Chapter 1,<br />

the central idea is that, by splitting the problem into small parts and focusing<br />

on each part separately, the decision maker is likely to acquire a better<br />

understanding of the problem than that which would be achieved by taking<br />

a holistic view. It can also be argued that, by requiring a commitment<br />

of time and effort, analysis encourages the decision maker to think deeply<br />

about the problem, enabling a rationale, which is explicit and defensible,<br />

to be developed. After such analysis the decision maker should be better<br />

able to explain and justify why a particular option is favored.<br />

The methodology outlined in this chapter is underpinned by a set of<br />

axioms. We will discuss these towards the end of the chapter, but, for the<br />

moment, we can regard them as a set of generally accepted propositions<br />

or ‘a formalization of common sense’ (Keeney 2 ). If the decision maker

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