Optimal workflow decisions for investigators in systems with interruptions
We model a system that consists of a stream of customers processed through three steps by
two resources. The first resource, an investigator, handles the first step, in which she collects …
two resources. The first resource, an investigator, handles the first step, in which she collects …
A deep learning approach for the dynamic dispatching of unreliable machines in re-entrant production systems
CH Wu, FY Zhou, CK Tsai, CJ Yu… - International Journal of …, 2020 - Taylor & Francis
This research combines deep neural network (DNN) and Markov decision processes (MDP)
for the dynamic dispatching of re-entrant production systems. In re-entrant production …
for the dynamic dispatching of re-entrant production systems. In re-entrant production …
Simulation modeling movable hospital assets managed with RFID sensors
K Efe, V Raghavan, S Choubey - Proceedings of the 2009 …, 2009 - ieeexplore.ieee.org
Discrete Event Simulation (DES) is often used to test the operational efficiency of new
systems before they are used in practice. Our focus is on tracking movable assets with Radio …
systems before they are used in practice. Our focus is on tracking movable assets with Radio …
Flexible servers in understaffed tandem lines
E Kırkızlar, S Andradóttir… - Production and …, 2012 - journals.sagepub.com
We study the dynamic assignment of cross‐trained servers to stations in understaffed lines
with finite buffers. Our objective is to maximize the production rate. We identify optimal server …
with finite buffers. Our objective is to maximize the production rate. We identify optimal server …
Flexible servers in tandem lines with setup costs
We study the dynamic assignment of flexible servers to stations in the presence of setup
costs that are incurred when servers move between stations. The goal is to maximize the …
costs that are incurred when servers move between stations. The goal is to maximize the …
Robustness of efficient server assignment policies to service time distributions in finite‐buffered lines
E Kırkızlar, S Andradóttir… - Naval Research Logistics …, 2010 - Wiley Online Library
We study the assignment of flexible servers to stations in tandem lines with service times that
are not necessarily exponentially distributed. Our goal is to achieve optimal or near‐optimal …
are not necessarily exponentially distributed. Our goal is to achieve optimal or near‐optimal …
Dynamic dispatching for re-entrant production lines—A deep learning approach
FY Zhou, CH Wu, CJ Yu - 2017 13th IEEE Conference on …, 2017 - ieeexplore.ieee.org
This study presents a dynamic dispatching method for re-entrant production systems by
combing dynamic programming (DP) with deep learning. First, we use DP to derive optimal …
combing dynamic programming (DP) with deep learning. First, we use DP to derive optimal …