An Approximate Method for the Optimization of Long-Horizon Tank Blending and Scheduling Operations
2020
Abstract We address a challenging tank blending and scheduling problem regarding operations for a chemical plant. We model the problem as a nonconvex MIQCP, then approximate this model as a MILP using a discretization-based approach. We combine a rolling horizon approach with the discretization of individual chemical property specifications to deal with long scheduling horizons, time-varying quality specifications, and multiple suppliers with discrete arrival times. This approach has been evaluated using industry-representative data sets from the specialty chemical industry. We demonstrate that the proposed approach supports fast planning cycles.
Keywords:
- Correction
- Source
- Cite
- Save
- Machine Reading By IdeaReader
66
References
0
Citations
NaN
KQI