Let us consider what is known as "the newsboy problem"
and use the notations of [1]. We have the opportunity to
purchase now an amount
of some good, at unitary cost
(regardless of the quantity purchased). It is assumed that the future
demand distribution
is precisely known, that
the future unit selling price
is known and independent of
the number sold and that non sold units are discarded.
In this Section, we will examine what can be inferred there from and postpone the discussion of the validity of such hypotheses to sec:Discussion-about-hypotheses.
The satisfied demand will be
,
leading to the actual gain :
.
The usual criterion used to fix the optimal quantity
to buy
is maximizing the expected value of this gain. Denoting this expectation
by
, we have :
Let us now compare the eventual gain
with the naive value
, i.e.
with the gain that will occur if we buy right now the expectation
of the future demand and if, by chance, it
happens that we effectively sell these
units. Defining
as the probability of a too small order and
(resp.
) as the expected value of the demand knowing that
(resp. knowing that
), we have :
A straightforward computation leads to :
Moreover, this quantity
has
a clear meaning in terms of risks evaluation. You have a risk
that the demand
overflows your inventory
. And in this
case, your score is burdened by the fact that you miss the opportunity
to sell
units, leading to an average miss
to gain of
. On the other hand, you
have a risk
that your inventory overflows the demand. And
in that case, your score is burdened by the resulting
leftover units, leading to an average extra cost of
.
Therefore, the right hand side of eq:cost-of-uncertainty
is nothing but the cost of uncertainty. The best choice for
can decrease this cost, but it never vanishes.