23 citations · 36 across the 8 of their papers we have counts for
8 papers
Stochastic Simulation Uncertainty Analysis to Accelerate Flexible Biomanufacturing Process Development
Wei Xie, Russell R. Barton, Barry L. Nelson +1
Motivated by critical challenges and needs from biopharmaceuticals manufacturing, we propose a general metamodel-assisted stochastic simulation uncertainty analysis framework to ac…
Biomanufacturing Harvest Optimization with Small Data
Bo Wang, Wei Xie, Tugce Martagan +2
In biopharmaceutical manufacturing, fermentation processes play a critical role in productivity and profit. A fermentation process uses living cells with complex biological mechani…
Statistical Uncertainty Analysis for Stochastic Simulation
Wei Xie, Barry L. Nelson, Russell R. Barton
When we use simulation to evaluate the performance of a stochastic system, the simulation often contains input distributions estimated from real-world data; therefore, there is bot…
Data-Driven Stochastic Optimization for Power Grids Scheduling under High Wind Penetration
Wei Xie, Yuan Yi, Zhi Zhou +1
To address the environmental concern and improve the economic efficiency, the wind power is rapidly integrated into smart grids. However, the inherent uncertainty of wind energy ra…
Global-Local Metamodel Assisted Two-Stage Optimization via Simulation
Wei Xie, Yuan Yi, Hua Zheng
To integrate strategic, tactical and operational decisions, the two-stage optimization has been widely used to guide dynamic decision making. In this paper, we study the two-stage…
A Pooled Quantile Estimator for Parallel Simulations
Qiong Zhang, Bo Wang, Wei Xie
Quantile is an important risk measure quantifying the stochastic system random behaviors. This paper studies a pooled quantile estimator, which is the sample quantile of detailed s…
A Nonparametric Bayesian Framework for Uncertainty Quantification in Stochastic Simulation
Wei Xie, Cheng Li, Yuefeng Wu +1
When we use simulation to assess the performance of stochastic systems, the input models used to drive simulation experiments are often estimated from finite real-world data. There…
Interpretable Biomanufacturing Process Risk and Sensitivity Analyses for Quality-by-Design and Stability Control
Wei Xie, Bo Wang, Cheng Li +2
While biomanufacturing plays a significant role in supporting the economy and ensuring public health, it faces critical challenges, including complexity, high variability, lengthy…