7 citations · 19 across the 13 of their papers we have counts for
7 papers · 1 filter
Information Asymmetry in Queues with Strategic Customers
Shunan Zheng, John Hasenbein
This paper studies information asymmetry in an unobservable single-server queueing system. While system managers have knowledge of the true arrival rate, customers may lack this in…
A Hierarchical Approach to Robust Stability of Multiclass Queueing Networks
Feiyang Zhao, Itai Gurvich, John Hasenbein
We re-visit the global - relative to control policies - stability of multiclass queueing networks. In these, as is known, it is generally insufficient that the nominal utilization…
Scenario-based Optimization Models for Power Grid Resilience to Extreme Flooding Events
Ashutosh Shukla, Erhan Kutanoglu, John J. Hasenbein
We propose two scenario-based optimization models for power grid resilience decision making that integrate output from a hydrology model with a power flow model. The models are use…
Comparisons of two-stage models for flood mitigation of electrical substations
Brent Austgen, Erhan Kutanoglu, John J. Hasenbein +1
We compare stochastic programming and robust optimization decision models for informing the deployment of ad hoc flood mitigation measures to protect electrical substations prior t…
A two-stage stochastic programming model for electric substation flood mitigation prior to an imminent hurricane
Brent Austgen, Erhan Kutanoglu, John J. Hasenbein
We present a stochastic programming model for informing the deployment of ad hoc flood mitigation measures to protect electrical substations prior to an imminent and uncertain hurr…
Distributionally Robust Observable Strategic Queues
Yijie Wang, Madhushini Narayana Prasad, Grani A. Hanasusanto +1
This paper presents an extension of Naor's analysis on the join-or-balk problem in observable M/M/1 queues. While all other Markovian assumptions still hold, we explore this proble…
Detecting Viruses in Contact Networks with Unreliable Detectors
Sudesh K. Agrawal, John J. Hasenbein
This paper develops and analyzes optimization models for rapid detection of viruses in large contact networks. In the model, a virus spreads in a stochastic manner over an undirect…