scholarly journals Solving the buffer allocation problem using simulation-based optimisation

ORiON ◽  
2021 ◽  
Vol 36 (2) ◽  
Author(s):  
JW Joubert ◽  
DJ Kotze
Keyword(s):  
Allocation Problem ◽  
Buffer Allocation ◽  
Simulation Based

The state of the art on buffer allocation problem: a comprehensive survey

2012 ◽  
Vol 25 (3) ◽  
pp. 371-392 ◽  
Author(s):  
Leyla Demir ◽  
Semra Tunali ◽  
Deniz Tursel Eliiyi
Keyword(s):  
State Of The Art ◽  
The State ◽  
Allocation Problem ◽  
Buffer Allocation ◽  
Comprehensive Survey

A new method for solving buffer allocation problem in large unbalanced production lines

2019 ◽  
Vol 58 (22) ◽  
pp. 6846-6867 ◽  
Author(s):  
Shaohui Xi ◽  
Qingxin Chen ◽  
James MacGregor Smith ◽  
Ning Mao ◽  
Ailin Yu ◽  
...  
Keyword(s):  
Allocation Problem ◽  
New Method ◽  
Buffer Allocation ◽  
Production Lines

A fast algorithm for buffer allocation problem

2015 ◽  
Vol 54 (11) ◽  
pp. 3243-3255 ◽  
Author(s):  
Lei Li ◽  
YanLing Qian ◽  
Yong Min Yang ◽  
Kai Du
Keyword(s):  
Fast Algorithm ◽  
Allocation Problem ◽  
Buffer Allocation

Optimal buffer allocation in a two-stage queueing system

1993 ◽  
Vol 30 (02) ◽  
pp. 478-482
Author(s):  
Panayotis D. Sparaggis ◽  
Wei-Bo Gong
Keyword(s):  
Service Time ◽  
General Type ◽  
Optimal Allocation ◽  
Queueing System ◽  
Allocation Problem ◽  
Absolute Difference ◽  
Allocation Scheme ◽  
Buffer Allocation ◽  
Two Stage ◽  
The One

We study the buffer allocation problem in a two-stage cyclic queueing system. First, we show that transposing the number of buffers assigned to each queue does not affect the throughput. Second, we prove that the optimal buffer allocation scheme, in the sense of maximizing the system's throughput, is the one for which the absolute difference between the number of buffers, assigned to each queue, is minimized, i.e., it becomes either 0 or 1. This optimal allocation is insensitive to the general-type service-time distributions. These two distributions may be different and service times may even be correlated.

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