Minimizing intersection waiting time: Proposal of a queue network model using Kendall's notation in Panama city
The paper presents a proposed queuing model based on Kendall's notation for the
intersection of two streets in Panama City (53 East and 56 East). The proposed model is …
intersection of two streets in Panama City (53 East and 56 East). The proposed model is …
Estimation of the optimal threshold policy in a queue with heterogeneous servers using a heuristic solution and artificial neural networks
D Efrosinin, N Stepanova - Mathematics, 2021 - mdpi.com
This paper deals with heterogeneous queues where servers differ not only in service rates
but also in operating costs. The classical optimisation problem in queueing systems with …
but also in operating costs. The classical optimisation problem in queueing systems with …
Cost optimization and machine learning-based prediction of waiting time for fault-tolerance machining system with general vacation and F-policy
This study focuses on the queueing management, performance analysis, and cost
optimization of a fault tolerance machining system (FTMS) that incorporates the multiple …
optimization of a fault tolerance machining system (FTMS) that incorporates the multiple …
Application of machine learning methods to solving problems of queuing theory
V Vishnevsky, AV Gorbunova - International Conference on Information …, 2021 - Springer
This review is the first to propose the systematic presentation of a new approach to the study
of queuing systems and networks. The concept of the new approach is based on a …
of queuing systems and networks. The concept of the new approach is based on a …
[PDF][PDF] Predicting patient waiting time in the queue system using deep learning algorithms in the emergency room
H Hijry, R Olawoyin - International Journal of Industrial Engineering, 2021 - ieomsociety.org
Many hospitals consider the length of time waiting in queue to be a measure of emergency
room (ER) overcrowding. Long waiting times plague many ER departments, hindering the …
room (ER) overcrowding. Long waiting times plague many ER departments, hindering the …
Optimal scheduling in general multi-queue system by combining simulation and neural network techniques
D Efrosinin, V Vishnevsky, N Stepanova - Sensors, 2023 - mdpi.com
The problem of optimal scheduling in a system with parallel queues and a single server has
been extensively studied in queueing theory. However, such systems have mostly been …
been extensively studied in queueing theory. However, such systems have mostly been …
Can machines solve general queueing systems?
In this paper, we analyze how well a machine can solve a general problem in queueing
theory. To answer this question, we use a deep learning model to predict the stationary …
theory. To answer this question, we use a deep learning model to predict the stationary …
Supervised ML for Solving the GI/GI/1 Queue
We apply supervised learning to a general problem in queueing theory: using a neural net,
we develop a fast and accurate predictor of the stationary system-length distribution of a …
we develop a fast and accurate predictor of the stationary system-length distribution of a …
Can machines solve general queueing problems?
We study how well a machine can solve a general problem in queueing theory, using a
neural net to predict the stationary queue-length distribution of an M/G/1 queue. This …
neural net to predict the stationary queue-length distribution of an M/G/1 queue. This …
Approximating G (t)/GI/1 queues with deep learning
Many real-world queueing systems exhibit a time-dependent arrival process and can be
modeled as a G (t)/GI/1 queue. Despite its wide applicability, little can be derived analytically …
modeled as a G (t)/GI/1 queue. Despite its wide applicability, little can be derived analytically …