Scope for industrial applications of production scheduling models and solution methods
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 …
industries. Above all, the aim of the paper is to focus on the industrial aspects of scheduling …
Continuous-time versus discrete-time approaches for scheduling of chemical processes: a review
An overview of developments in the scheduling of multiproduct/multipurpose batch and
continuous processes is presented. Existing approaches are classified based on the time …
continuous processes is presented. Existing approaches are classified based on the time …
Network‐constrained unit commitment‐based virtual power plant model in the day‐ahead market according to energy management strategy
S Pirouzi - IET Generation, Transmission & Distribution, 2023 - Wiley Online Library
Energy management of a virtual power plant (VPP) that consists of wind farm (WF), energy
storage systems and a demand response program is discussed in the present study. The …
storage systems and a demand response program is discussed in the present study. The …
[HTML][HTML] A deep reinforcement learning approach for chemical production scheduling
This work examines applying deep reinforcement learning to a chemical production
scheduling process to account for uncertainty and achieve online, dynamic scheduling, and …
scheduling process to account for uncertainty and achieve online, dynamic scheduling, and …
Dynamic multi-robot task allocation under uncertainty and temporal constraints
We consider the problem of dynamically allocating tasks to multiple agents under time
window constraints and task completion uncertainty. Our objective is to minimize the number …
window constraints and task completion uncertainty. Our objective is to minimize the number …
[HTML][HTML] A decision support system for supplier selection and order allocation in stochastic, multi-stakeholder and multi-criteria environments
Integrated supplier selection and order allocation is an important decision for both designing
and operating supply chains. This decision is often influenced by the concerned …
and operating supply chains. This decision is often influenced by the concerned …
On the road between robust optimization and the scenario approach for chance constrained optimization problems
We propose a new method for solving chance constrained optimization problems that lies
between robust optimization and scenario-based methods. Our method does not require …
between robust optimization and scenario-based methods. Our method does not require …
A comparative theoretical and computational study on robust counterpart optimization: I. Robust linear optimization and robust mixed integer linear optimization
Robust counterpart optimization techniques for linear optimization and mixed integer linear
optimization problems are studied in this paper. Different uncertainty sets, including those …
optimization problems are studied in this paper. Different uncertainty sets, including those …
[HTML][HTML] Risk-averse and flexi-intelligent scheduling of microgrids based on hybrid Boltzmann machines and cascade neural network forecasting
The future of energy flexibility in microgrids (MGs) is steering towards a highly granular
control of the end-user customers. This calls for more highly accurate uncertainty forecasting …
control of the end-user customers. This calls for more highly accurate uncertainty forecasting …
Recent advances in mathematical programming techniques for the optimization of process systems under uncertainty
Optimization under uncertainty has been an active area of research for many years.
However, its application in Process Systems Engineering has faced a number of important …
However, its application in Process Systems Engineering has faced a number of important …