Stochastic simulation is an invaluable tool for operations-research practitioners for the
performance evaluation of systems with random behavior and mathematically intractable …

Method comparisons are essential to provide recommendations and guidance for applied
researchers, who often have to choose from a plethora of available approaches. While many …

Motivated by critical challenges and needs from biopharmaceuticals manufacturing, we
propose a general metamodel-assisted stochastic simulation uncertainty analysis framework …

To facilitate a rapid response to pandemic threats, this paper focuses on developing a
mechanistic simulation model for in vitro transcription (IVT) process, a crucial step in mRNA …

Biopharmaceutical manufacturing faces critical challenges, including complexity, high
variability, lengthy lead time, and limited historical data and knowledge of the underlying …

This paper presents the design and analysis of a lean production system for a new
biomedical technology product that has the potential to accelerate the screening process for …

Validation is the methodology at the end of the simulation and modelling cycle that relates
the insights gained by computer calculations to the real world scenario, that is subject of …

Validation is the methodology at the end of the simulation and modelling cycle that relates
the insights gained by computer calculations to the real world scenario, that is subject of …

Stochastic simulation is an invaluable tool for operations-research practitioners for the
performance evaluation of systems with random behavior and mathematically intractable …

In this master thesis the application of real time release testing (RTRT) within the bio-
pharmaceutical industry is researched. A framework is formulated that describes a 6-phases …