Digital twin-driven deep reinforcement learning for adaptive task allocation in robotic construction
In order to accomplish diverse tasks successfully in a dynamic (ie, changing over time)
construction environment, robots should be able to prioritize assigned tasks to optimize their …
construction environment, robots should be able to prioritize assigned tasks to optimize their …
Staffing to stabilize the tail probability of delay in service systems with time-varying demand
Y Liu - Operations Research, 2018 - pubsonline.informs.org
Analytic formulas are developed to set the time-dependent number of servers to stabilize the
tail probability of customer waiting times for the Gt/GI/st+ GI queueing model, which has a …
tail probability of customer waiting times for the Gt/GI/st+ GI queueing model, which has a …
A Study on Optimal Release Schedule for Multiversion Software
Research on software reliability growth models (SRGMs) has been extensively conducted
for decades, and the models were often developed based on two assumptions:(1) once the …
for decades, and the models were often developed based on two assumptions:(1) once the …
Many-server Gaussian limits for overloaded non-Markovian queues with customer abandonment
Abstract Extending Ward Whitt's pioneering work “Fluid Models for Multiserver Queues with
Abandonments, Operations Research, 54 (1) 37–54, 2006,” this paper establishes a many …
Abandonments, Operations Research, 54 (1) 37–54, 2006,” this paper establishes a many …
Assessing uncertainty and risk in an expeditionary military logistics network
BM McConnell, TJ Hodgson, MG Kay… - The Journal of …, 2021 - journals.sagepub.com
Uncertainty is rampant in military expeditionary operations spanning high-intensity combat
to humanitarian operations. These missions require rapid planning and decision-support …
to humanitarian operations. These missions require rapid planning and decision-support …
Scheduling to differentiate service in a multiclass service system
Motivated by large-scale service systems, we study a multiclass queueing system having
class-dependent service rates and heterogeneous abandonment distributions. Our objective …
class-dependent service rates and heterogeneous abandonment distributions. Our objective …
Efficient simulation of non-Poisson non-stationary point processes to study queueing approximations
N Ma, W Whitt - Statistics & Probability Letters, 2016 - Elsevier
A nonstationary point process can be efficiently simulated by exploiting a representation as
the composition of a rate-one process and the cumulative arrival rate function, provided that …
the composition of a rate-one process and the cumulative arrival rate function, provided that …
Clustering Then Estimation of Spatio-Temporal Self-Exciting Processes
H Zhang, D Zhan, J Anderson… - INFORMS Journal …, 2024 - pubsonline.informs.org
We propose a new estimation procedure for general spatio-temporal point processes that
include a self-exciting feature. Estimating spatio-temporal self-exciting point processes with …
include a self-exciting feature. Estimating spatio-temporal self-exciting point processes with …
Heavy-traffic limit for the initial content process
To understand the performance of a queueing system, it can be useful to focus on the
evolution of the content that is initially in service at some time. That necessarily will be the …
evolution of the content that is initially in service at some time. That necessarily will be the …
Simulation-based evaluation on integrating additive manufacturing capability in a deployed military environment
TA Moore, BM McConnell… - 2018 Winter Simulation …, 2018 - ieeexplore.ieee.org
This article develops a data-driven forecast of repair parts for the M109A6 Paladin self-
propelled 155 mm howitzer, and this forecast drives a discrete-event simulation to assess …
propelled 155 mm howitzer, and this forecast drives a discrete-event simulation to assess …