Abstract
We consider an (R, Q) inventory model with two types of orders, normal orders and emergency orders, which are issued at different inventory levels. These orders are delivered after exponentially distributed lead times. In between deliveries, the inventory level decreases in a state-dependent way, according to a release rate function. This function represents the fluid demand rate; it could be controlled by a system manager via price adaptations. We determine the mean number of downcrossings of any level x in one regenerative cycle, and use it to obtain the steady-state density f (x) of the inventory level. We also derive the rates of occurrence of normal deliveries and of emergency deliveries, and the steady-state probability of having zero inventory.
Original language | English |
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Pages (from-to) | 106-126 |
Number of pages | 21 |
Journal | Journal of Applied Probability |
Volume | 60 |
Issue number | 1 |
DOIs | |
State | Published - 4 Mar 2023 |
Externally published | Yes |
Bibliographical note
Funding Information:The research of Onno Boxma is partly funded by the NWO Gravitation Programme NETWORKS (grant 024.002.003). The research of David Perry was partly funded by ISF (Israel Science Foundation), grant 3274/19.
Publisher Copyright:
© The Author(s) 2022.
Keywords
- (R, Q) inventory
- level crossings
- steady-state analysis
- stochastic lead time
ASJC Scopus subject areas
- Statistics and Probability
- Mathematics (all)
- Statistics, Probability and Uncertainty