A MAP/PH/1 Perishable Inventory System with Dependent Retrial Loss

2020 ◽  
Vol 6 (6) ◽  
Author(s):  
P. S. Reshmi ◽  
K. P. Jose
Keyword(s):  
Inventory System ◽  
Perishable Inventory ◽  
Perishable Inventory System

scholarly journals TWO-COMMODITY PERISHABLE INVENTORY SYSTEM WITH BULK DEMAND FOR ONE COMMODITY

2011 ◽  
Vol 21 (1) ◽  
Author(s):  
V.S.S. Yadavalli ◽  
O. Adetunji ◽  
B. Sivakumar ◽  
G. Arivarignan
Keyword(s):  
Inventory System ◽  
Perishable Inventory ◽  
Perishable Inventory System

scholarly journals Analysis of Two-Echelon Perishable Inventory System with Direct and Retrial demands

2014 ◽  
Vol 10 (5) ◽  
pp. 51-57 ◽  
Author(s):  
M. Rameshpandi ◽  
◽  
C. Periyasamy ◽  
K. Krishnan
Keyword(s):  
Inventory System ◽  
Perishable Inventory ◽  
Perishable Inventory System

Perishable Inventory System with (S, Q) Policy in Supply Chain

2014 ◽  
Vol 4 (2) ◽  
pp. 213
Author(s):  
S. Kumaresan ◽  
R. Bakthavachalam ◽  
K. Krishnan ◽  
C. Elango
Keyword(s):  
Supply Chain ◽  
Inventory System ◽  
Perishable Inventory ◽  
Perishable Inventory System

Perishable Inventory System with Bi-Level Service System

2016 ◽  
pp. 200-217
Author(s):  
D. Gomathi
Keyword(s):  
Steady State ◽  
Performance Measures ◽  
Service Time ◽  
System Performance ◽  
Service System ◽  
Joint Probability ◽  
Inventory System ◽  
Service Time Distribution ◽  
Perishable Inventory ◽  
Perishable Inventory System

In this chapter we consider a perishable inventory system under continuous review at a bi-level service system with finite waiting hall of size N. The maximum storage capacity of the inventory is S units. We assumed that a demand for the commodity is of unit size. The arrival time points of customers form a Poisson process. The individual customer is issued a demanded item after a random service time, which is distributed as negative exponential. The effect of the two modes of operations on the system performance measures is also discussed. It is also assumed that lead time for the reorders is distributed as exponential and is independent of the service time distribution. The items are perishable in nature and the life time of each item is assumed to be exponentially distributed. The demands that occur during stock out periods are lost. The joint probability distribution of the number of customers is obtained in the steady-state case. Various system performance measures in the steady state are derived. The results are illustrated numerically.

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