A perishable inventory system with retrial demands and a finite population

Perishable Inventory System with a Finite Population and Repeated Attempts

Perishable Inventory System with a Finite Population and Repeated Attempts

In this article, we consider a two commodity continuous review perishable inventory system with a finite number of homogeneous sources of demands. The maximum storage capacity of i S units for the th i commodity 1,2) = (i . The life time of items of each commodity is assumed to be exponentially distributed with parameter i  1,2) = (i . The time points of primary demand occurrences form indepen...

Perishable Inventory Model with Retrial Demands, Negative Customers and Multiple Working Vacations

This paper presents the analysis of a continuous review perishable inventory system wherein the life time of each item follows an exponential distribution. The operating policy is (s,S) policy where the ordered items are received after a random time which follows exponential distribution. Primary arrival follows Poisson distribution and they may turnout to be posit...

An Inventory System with Retrial Demands and Multiple Server Vacation

Abstract: In this article, we consider a continuous review inventory system with Markovian demand. The operating policy is ( , ) s S policy, that is, the maximum inventory level is and whenever the inventory level drops to S , s an order for units is placed. The ordered items are received after a random time which is assumed to be exponential distribution. The server goes for a vacation of an e...

Perishable Inventory System with Postponed Demands and Negative Customers

This article considers a continuous review perishable (s,S) inventory system in which the demands arrive according to a Markovian arrival process (MAP). The lifetime of items in the stock and the lead time of reorder are assumed to be independently distributed as exponential. Demands that occur during the stock-out periods either enter a pool which has capacity N(<∞) or are lost. Any demand tha...