9 citations · 28 across the 12 of their papers we have counts for
12 papers
When Shortages Lead to Export Restrictions: A Computational Study
Martha L. Sabogal De La Pava, Emily L. Tucker, Yongjia Song
Globalization has enabled companies to leverage cost efficiencies; however, it has increased exposure to disruption risks that threaten supply stability. Among these, export bans h…
Markov Chain-based Policies for Multi-stage Stochastic Integer Linear Programming with an Application to Disaster Relief Logistics
Margarita P. Castro, Merve Bodur, Yongjia Song
We introduce an aggregation framework to address multi-stage stochastic programs with mixed-integer state variables and continuous local variables (MSILPs). Our aggregation framewo…
Multi-stage Stochastic Programming Methods for Adaptive Disaster Relief Logistics Planning
Murwan Siddig, Yongjia Song
We consider a logistics planning problem of prepositioning relief items in preparation for an impending hurricane landfall. This problem is modeled as a multiperiod network flow pr…
A Multi-stage Stochastic Programming Model for Adaptive Biomass Processing Operation under Uncertainty
Berkay Gulcan, Yongjia Song, Sandra D. Eksioglu
Variations of physical and chemical characteristics of biomass reduce equipment utilization and increase operational costs of biomass processing. Biomass processing facilities use…
Rolling Horizon Policies in Multistage Stochastic Programming
Murwan Siddig, Yongjia Song, Amin Khademi
Multistage Stochastic Programming (MSP) is a class of models for sequential decision-making under uncertainty. MSP problems are known for their computational intractability due to…
Optimization Models for Integrated Biorefinery Operations
Berkay Gulcan, Sandra D. Eksioglu, Yongjia Song +2
Variations of physical and chemical characteristics of biomass lead to an uneven flow of biomass in a biorefinery, which reduces equipment utilization and increases operational cos…
Adaptive Sequential SAA for Solving Two-stage Stochastic Linear Programs
Raghu Pasupathy, Yongjia Song
We present adaptive sequential SAA (sample average approximation) algorithms to solve large-scale two-stage stochastic linear programs. The iterative algorithm framework we propose…
A Stochastic Lookahead Approach for Hurricane Relief Logistics Operations Planning under Uncertainty
Yanbin Chang, Yongjia Song, Burak Eksioglu
In the aftermath of a hurricane, humanitarian logistics plays a critical role in delivering relief items to the affected areas in a timely fashion. This paper proposes a novel stoc…
Robust Optimal Design of Two-Armed Trials with Side Information
Qiong Zhang, Amin Khademi, Yongjia Song
Significant evidence has become available that emphasizes the importance of personalization in medicine. In fact, it has become a common belief that personalized medicine is the fu…
A multi-vehicle covering tour problem with speed optimization
Joshua T. Margolis, Yongjia Song, Scott J. Mason
The multi-vehicle covering tour problem with time windows (MCTPTW) aims to construct a set of maximal coverage routes for a fleet of vehicles that serve (observe) a secondary set o…
Moment Matching Based Conjugacy Approximation for Bayesian Ranking and Selection
Qiong Zhang, Yongjia Song
We study the conjugacy approximation method in the context of Bayesian ranking and selection with unknown correlations. Under the assumption of normal-inverse-Wishart prior distrib…
A joint routing and speed optimization problem
Ricardo Fukasawa, Qie He, Fernando Santos +1
Fuel cost contributes to a significant portion of operating cost in cargo transportation. Though classic routing models usually treat fuel cost as input data, fuel consumption heav…