This paper evaluates the impact of misinformation for inventory systems with product returns. If
one could exactly know how much is going to be returned and when, one would certainly benefit
from incorporating this perfect information a priori in the management of production, inventory,
and distribution. In practice, one has to attempt to forecast the timing and the amount of product
returns, by hypothesizing about the return flow properties. To do so, historic data on demand
and returns can be used. The available literature on information and inventory management
with product returns commonly 1) assumes known return probabilities; or 2) considers specific
cases where the most informed method does not necessarily lead to the best performance,
investigating the impact on inventory related costs
