Classifying inventory items in make-to-order (MTO) manufacturing environments finds increasing importance beyond traditional ABC classifications, primarily focusing on costs or consumption, where high
Incomplete product availability is an important feature of many markets; ignoring changes in availability may bias demand estimates. We study a new dataset from a wireless inventory system installed o
