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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 …
Mixed integer linear programming in process scheduling: Modeling, algorithms, and applications
This paper reviews the advances of mixed-integer linear programming (MILP) based
approaches for the scheduling of chemical processing systems. We focus on the short-term …
approaches for the scheduling of chemical processing systems. We focus on the short-term …
Process scheduling under uncertainty: Review and challenges
Uncertainty is a very important concern in production scheduling since it can cause
infeasibilities and production disturbances. Thus scheduling under uncertainty has received …
infeasibilities and production disturbances. Thus scheduling under uncertainty has received …
Effective continuous-time formulation for short-term scheduling. 1. Multipurpose batch processes
During the last decade, the problem of production scheduling has been realized to be one of
the most important problems in industrial plant operations especially when multipurpose …
the most important problems in industrial plant operations especially when multipurpose …
A new robust optimization approach for scheduling under uncertainty:: I. Bounded uncertainty
The problem of scheduling under bounded uncertainty is addressed. We propose a novel
robust optimization methodology, which when applied to mixed-integer linear programming …
robust optimization methodology, which when applied to mixed-integer linear programming …
Planning and scheduling models for refinery operations
The main objective of this work is to discuss planning and scheduling applications for
refinery operations. Firstly, the development of a nonlinear planning model for refinery …
refinery operations. Firstly, the development of a nonlinear planning model for refinery …
Planning and scheduling under uncertainty: a review across multiple sectors
This paper provides an overview of the key contributions within the planning and scheduling
communities with specific emphasis on uncertainty analysis. As opposed to focusing in one …
communities with specific emphasis on uncertainty analysis. As opposed to focusing in one …
New general continuous-time State− Task network formulation for short-term scheduling of multipurpose batch plants
A new continuous-time MILP model for the short-term scheduling of multipurpose batch
plants is presented. The proposed model relies on the state− task network (STN) approach …
plants is presented. The proposed model relies on the state− task network (STN) approach …
General framework and modeling approach classification for chemical production scheduling
CT Maravelias - AIChE Journal, 2012 - Wiley Online Library
Despite the increased number of publications in the area during the last two decades, there
is no unified notation and systematic framework for chemical production scheduling. In this …
is no unified notation and systematic framework for chemical production scheduling. In this …