This paper gives a review on existing scheduling methodologies developed for process
industries. Above all, the aim of the paper is to focus on the industrial aspects of scheduling …

There has been significant progress in the area of short-term scheduling of batch processes,
including the solution of industrial-sized problems, in the last 20 years. The main goal of this …

Distributionally robust optimization (DRO) is an emerging and effective method to address
the inexactness of probability distributions of uncertain parameters in decision-making under …

Scheduling is a major component for the efficient operation of the process industries.
Especially in the current competitive globalized market, scheduling is of vital importance to …

In this paper, we present a brief overview of enterprise-wide optimization and challenges in
multiscale temporal modeling and integration of different models for the levels of planning …

Variations in parameters such as processing times, yields, and availability of materials and
utilities can have a detrimental effect in the optimality and/or feasibility of an otherwise …

A novel data‐driven approach for optimization under uncertainty based on multistage
adaptive robust optimization (ARO) and nonparametric kernel density M‐estimation is …

This paper discusses the integration of scheduling and advanced control. It gives a brief
overview on the challenges for today's production systems, analyzes the functional hierarchy …

Increased volatility in electricity prices and new emerging demand side management
opportunities call for efficient tools for the optimal operation of power-intensive processes. In …

This work addresses the scheduling of continuous plants subject to energy constraints
related to time-dependent electricity pricing and availability. Discrete-and continuous-time …