DECISION MAKING UNDER CERTAINTY AND
UNCERTAINTY
Condition of Certainty. Exhibit B-1
presents the case with the assumption that the anticipated new business will
materialize. It therefore represents, in decision theory terminology, decision
making under conditions of certainty. It is assumed the payoffs are certain to
occur if the particular action is chosen and the probability of the additional
business being second is 1.0. The decision to choose action A is obvious under
these conditions with the given payoff data and decision rule.
Condition of Uncertainty. In a more realistic situation, the outcome is less than certain. The
new business may not materialize. And then the department might be left with
costly excess capacity the union may resist introduction of the new equipment
because it replaces workers. The new equipment may not perform as anticipated.
For these or other reasons, the decision maker may be uncertain about the
consequences (for instance, that course A will result in a $20,000
contribution). Suppose the manager
considers these other possible outcomes and concludes the one serious
uncertainty is that the new business may not be forthcoming. For purposes of
simplicity, one of two conditions will exist in the future – either the new
business will be secured as expected (O) or the new business will not
materialize (O2). In the first case, the expected payoffs would be the same as
in Exhibit B-1: but if the new business is not secure, then the addition of the
new equipment would Decision Rule and Decision Variable. When there are alternatives from
which to choose, a rational way to approach the decision is to try to assess
the outcomes of each action: then one can choose the outcome that best meets
the criterion established for judging alternatives. This criterion is a
combination of a decision rule and a decision variable. For example, the
decision variable might be “direct dollar savings. “ contribution to overhead
and profits, “time required for completion of the project,” and so forth .
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