The competitive, profitable, and safe operation of chemical plants depends on tight and
effective coordination among the different decision making levels of the enterprise, including …

The kernel of industrial advanced process control (APC) lies in the formulation and solution
of model predictive control (MPC) problems, which specify the controller moves according to …

The repeated solution of large-scale optimization problems arises frequently in process
systems engineering tasks. Decomposition-based solution methods have been widely used …

In this paper, we propose a graph classification approach for automatically determining
whether to use a monolithic or a decomposition-based solution method. In this approach, an …

Decomposition is a fundamental principle of resolving complexity by scale, which is utilized
in a variety of decomposition-based algorithms for control and optimization. In this paper, we …

Datasets encountered in scientific and engineering applications appear in complex formats
(eg, images, multivariate time series, molecules, video, text strings, networks). Graph theory …

Decomposition‐based solution algorithms for optimization problems depend on the
underlying latent block structure of the problem. Methods for detecting this structure are …

Community detection is one of the primary problems in social network analysis and this
problem has more challenges in attributed social networks. The purpose of community …

Integrating control decisions into scheduling strategies has been shown to improve process
economics. Typical integrated formulations consist of mixed-integer optimization models that …

Enterprise-wide optimization seeks to improve the economic performance of process
systems by considering simultaneously decisions at different time scales, resulting in large …