Exponential queuing system with negative customers and bunker for ousted customers

2008 ◽  
Vol 69 (9) ◽  
pp. 1542-1551 ◽  
Author(s):  
R. Manzo ◽  
N. Cascone ◽  
R. V. Razumchik
Keyword(s):  
Queuing System ◽  
Negative Customers

Analysis of the multi-server Markov queuing system with unlimited buffer and negative customers

2007 ◽  
Vol 68 (1) ◽  
pp. 85-94 ◽  
Author(s):  
P. P. Bocharov ◽  
C. d’Apice ◽  
R. Manzo ◽  
A. V. Pechinkin
Keyword(s):  
Queuing System ◽  
Negative Customers ◽  
Multi Server

Algorithmic Approach to Analysis of Queuing System with Finite Queues and Jump-like Priorities

2012 ◽  
Vol 44 (12) ◽  
pp. 43-54 ◽  
Author(s):  
Agasi Zarbali ogly Melikov ◽  
Leonid A. Ponomarenko ◽  
Che Soong Kim
Keyword(s):  
Queuing System ◽  
Algorithmic Approach ◽  
Finite Queues

SIMULATION OF A SEA CARGO PORT AS A QUEUING SYSTEM IN ANYLOGIC

2020 ◽  
Vol 4 (26) ◽  
pp. 59-66
Author(s):  
A. G. Morozkov ◽  
◽  
M. R. Yazvenko ◽  
Keyword(s):  
Simulation Model ◽  
Key Words ◽  
Simulation Modeling ◽  
Queue Length ◽  
System Simulation ◽  
Queuing System ◽  
System Model ◽  
System Capacity ◽  
Mathematical Solution ◽  
Structure Simulation

The article presents simplified queuing system model of freight marine port. The article discusses the basic elements of queuing system, its mathematical solution and structure. Simulation model was created using AnyLogic to analyze an effect of system capacity on queue length. The results were analyzed and the solution for queue optimization was proposed. Key words: queuing system, simulation modeling, AnyLogic, marine port, servers, queue.

State-dependent signalling in queueing networks

1994 ◽  
Vol 26 (02) ◽  
pp. 436-455 ◽  
Author(s):  
W. Henderson ◽  
B. S. Northcote ◽  
P. G. Taylor
Keyword(s):  
Queueing Networks ◽  
State Dependence ◽  
Product Form ◽  
Batch Size ◽  
Single Server ◽  
Negative Customers ◽  
Affect Control ◽  
State Dependent ◽  
Special Cases ◽  
Equilibrium Distributions

It has recently been shown that networks of queues with state-dependent movement of negative customers, and with state-independent triggering of customer movement have product-form equilibrium distributions. Triggers and negative customers are entities which, when arriving to a queue, force a single customer to be routed through the network or leave the network respectively. They are ‘signals' which affect/control network behaviour. The provision of state-dependent intensities introduces queues other than single-server queues into the network. This paper considers networks with state-dependent intensities in which signals can be either a trigger or a batch of negative customers (the batch size being determined by an arbitrary probability distribution). It is shown that such networks still have a product-form equilibrium distribution. Natural methods for state space truncation and for the inclusion of multiple customer types in the network can be viewed as special cases of this state dependence. A further generalisation allows for the possibility of signals building up at nodes.

An alternative transient solution for semi-Markov queuing systems

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Revaz Kakubava
Keyword(s):  
Queuing System ◽  
Queuing Systems ◽  
Transient Solution ◽  
Methods Of Analysis ◽  
Supplementary Variables ◽  
Probabilistic Argumentation

AbstractBy using a purely probabilistic argumentation, two theorems are proved. They simplify the existing methods of analysis for the {M/G/1} queuing system by means of the supplementary variables method.

Task scheduling by a priority queuing system to a robotized assembly

1991 ◽  
Vol 24 (14) ◽  
pp. 252-254
Author(s):  
Yang Yang ◽  
M. Staroswiecki
Keyword(s):  
Task Scheduling ◽  
Queuing System ◽  
A Priority
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