This paper examines an inventory system of a retailer who uses a continuous-review base-
stock policy to manage inventory. We consider two types of demands: Markov-modulated …

This study considered a make-to-order manufacturing system combined with a fluid-type
inventory. In this system, customers arrive at the system to place an order for a customized …

We consider a Markov-modulated fluid flow production model under the D-policy, that is, as
soon as the storage reaches level 0, the machine becomes idle until the total storage …

We consider a make-to-stock production/inventory model in a random environment with
finite storage capacity and restricted backlogging possibility. Our aim is to demonstrate that …

We consider a storage process W (t) under the generalised order-up-to-level policy, based
on a continuous-time Markov chain (CTMC). Specifically, the process starts at level S; …

We consider multi-stage stochastic fluid models (SFMs), driven by applications in
telecommunications and manufacturing in which control of the behavior of the system during …

We consider a production–inventory control model with two reflecting boundaries,
representing the finite storage capacity and the finite maximum backlog. Demands arrive at …

In this paper, we consider a general discrete-time queueing system with D-BMAP (discrete-
time batch Markovian arrival process) and D-policy. An idle single server becomes busy …

Today's products are subject to fast changes due to market conditions, short life cycles, and
technological advances. Thus, an important problem in inventory planning is how to …

We consider a Markov-modulated fluid flow model with server maintenance period. As soon
as the fluid level reaches zero, the server begins a maintenance period of a random length …