This paper presents two (Q,r) inventory models with random lead time and partial backlogging. In Model I, lead time X is a exogenous random variable. Lead time is x′ = tx in the second where t is an ‘expediting factor’. Two mathematical models which minimize the average cost per unit time of operating the inventory system are developed. The models are illustrated by numerical examples.
