Bayesian inference has emerged as a powerful tool in the analysis of queueing systems, blending probability theory with statistical estimation to update beliefs about system parameters as new data ...

In assemble-to-order production systems, and others of a similar flavor, it is often the case that orders for components of various types are placed simultaneously, but that these components are ...

Developed by scientists at the University of California Santa Barbara (UCSB), the system was initially developed to ease congestion at the Golden State’s twin ports of Los Angeles and Long Beach, ...

We introduce a new approach to modelling queueing systems where the priority or the routing of customers depends on the time the first customer has waited in the queue. This past waiting time of the ...