Abstract
Scheduling and feed quality optimization for processing solid concentrates in the copper refining industry may be formulated as a large-scale, discrete-time, nonconvex mixed-integer nonlinear program (MINLP) by including logistics operations and ad-hoc blending constraints. However, to solve this complex problem, the full space MINLP for the blending of solid concentrates of copper and the scheduling of their logistics is partitioned into a mixed-integer linear program (MILP) and a nonlinear program (NLP). The solution strategy considers the relax-and-fix rolling horizon with nearby time window overlaps and the use of multiple MILP solutions applied in a two-step MILP–NLP procedure. Two models are proposed for the flowsheet balances: a split fraction model and a process network model. The results indicate that the split fraction model yields near optimal solutions with a large computational effort, whereas the process network can generate several feasible solutions faster. We present a motivating example ...
Sign-in/Register to access full text options 
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.
