The idea of using a simpler surrogate to represent a complex phenomenon has gained
increasing popularity over past three decades. Due to their ability to exploit the black-box …

The ability to accurately model and simulate chemical processes has been paramount to the
growing success and efficiency in process design and operation. These improvements …

It is well-documented how artificial intelligence can have (and already is having) a big
impact on chemical engineering. But classical machine learning approaches may be weak …

Supply chain operations and scheduling are well-studied problems in the literature.
Although these problems are related, they are often solved sequentially. This uncoordinated …

Feasibility analysis is used to determine the feasible region of a multivariate process. This
can be difficult when the process models include black‐box constraints or the simulation is …

Modular manufacturing is gaining popularity in a variety of industrial applications due to
potential cost-savings as well as process flexibility that can be achieved with the use of small …

The objective of this work is to present a review of computational tools and models for
pharmaceutical processes, specifically those for the continuous manufacture of solid dosage …

Flexibility analysis and robust optimization are two approaches to solving optimization
problems under uncertainty that share some fundamental concepts, such as the use of …

Simulation-based optimization is a research area that is currently attracting a lot of attention
in many industrial applications, where expensive simulators are used to approximate …

Abstract Crude Monte-Carlo or quasi Monte-Carlo methods are well suited to characterize
events of which associated probabilities are not too low with respect to the simulation …