This project studies how waiting time and service efficiency change under different queue configurations using queueing theory and simulation. The goal is to understand how system design choices—such ...
( P_0 ): Probability of zero customers in the system. ( L_q ): Average number of customers waiting in the queue. ( W_q ): Average waiting time in the queue. ( W ): Total average time in the system. ( ...
Queueing systems with working vacations refer to mathematical models in which service providers (servers) intermittently operate at a reduced capacity rather than coming to a complete standstill ...
Retrial queueing systems represent a specialised branch of queueing theory where customers, upon encountering a busy server, do not simply abandon the process but instead join an external queue or ...
Abstract: We consider the problem of adaptively determining the optimal number of servers in an $M / G / c$ queueing system in which the unknown arrival rate must be ...
The application has a graphical user interface that requires no programming and provides all the tools for building, executing, and analyzing discrete event simulation models. Figure 1.1 shows a ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results