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We have discussed about the limitation of the standard hypothesis
of the knowledge of the uncertain demand modeled in the form of an
exact probability distribution function. Such a model has been largely
used in the literature to solve the problem of the optimal purchasing
policy, a decision problem which is currently met in the supply chain.
We propose to identify some characteristics of the future demand which
are practically determinable, and following Scarf's method, to analyze
the optimal decision obtained from the defined family of demand models.
- With the knowledge of the only mean demand
, the order quantity
is obviously
. The model is limited since there is no possibility
to analyze any uncertainties. The risk for the company manager is,
in that case, to rely on a fictitious ideal revenue which does not
take into account the cost of uncertainties.
- With a knowledge on
and
or the coefficient of variation
, the robust decision is
. This
decision takes into account any general form of the demand probability
function, leading to a conservative result. The gain correspond to
the knowledge of the expected (minimal) guaranteed revenue. Any additional
knowledge can improve this decision since the set of demand models
is reduced.
- We have investigated the triangular models which have three parameters
for the probability function : the minimum possible demand, the maximum
possible, and the most probable demand. These parameters can certainly
be identified without too much imprecision by sales managers.
The immediate perspective is to extend this result to the case of
more variable demand
. Another perspective
is the extension of these results to the multi-period purchasing strategy
where the next order quantities can make some corrections on the previous
decisions by observing the inventory at hand. This discussion can
also be used to investigate how prices are fixed by the market for
risky products: in the long run, the sellers will reorient their activity
if they don't obtain in the average at least the average remuneration
for their capital. Thus the final price must contain not only the
costs and the usual remuneration, but also (at least) an insurance
for the risks .
Previous: 5 Max-min problems
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douillet@ensait.fr
2007-01-25