With the potential to decrease operating costs and improve energy efficiency, model
predictive control (MPC) has been proposed as a replacement for traditional heuristic, PID …

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 …

The problems of production scheduling and sequencing refer to decision making regarding
the designation of jobs to available resources and their subsequent order to optimize pre …

The increasing challenges to the grid stability posed by the penetration of renewable energy
resources urge a more active role for demand response programs as viable alternatives to a …

Advanced planning and automation are increasingly important in modern mines.
Sophisticated methods for long-term mine planning are often used, and the advent of …

We propose a general method for the solution of chemical production scheduling problems
in network environments. The method consists of three stages. In the first stage, a discrete …

This paper addresses the integration of two relevant problems within industry: raw material
purchasing and production planning. The raw material purchasing problem considers the …

Due to increasing load and penetration of renewables, the electric grid is using time-of-use
pricing for industrial customers. Involving energy-intensive processes, steel companies can …

Modern approaches for dynamic optimization trace their inception to Pontryagin's Maximum
Principle 60 years ago. Since then the application of large-scale nonlinear programming …

This paper investigates a practical steelmaking scheduling problem with batching decisions
and energy constraints, in which batching is used to decide how to group and sequence a …