Abstract
This paper proposes a solution methodology for the production scheduling of batch plants. The methodology is defined by an integrated approach that simultaneously considers the representation of the scheduling problem, the optimization model, and the decision-making process. A problem representation and a mixed integer linear programing (MILP) model are developed and applied to solve a real world scheduling problem from the chemical–pharmaceutical industry. The main advantage of this approach is that it includes a general process representation that can be used across several departments of the company. Moreover, we also discuss development and implementation challenges of optimization methods for the process industry, and we provide some guidelines to mitigate existing problematic issues in this domain.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
