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arXiv · 2006.07539

An Approximate Method for the Optimization of Long-Horizon Tank Blending and Scheduling Operations

Benjamin Beach·Robert Hildebrand·Kimberly Ellis·Baptiste Lebreton
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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.

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Benjamin Beach, Robert Hildebrand, Kimberly Ellis, Baptiste Lebreton. 2020-06-13. An Approximate Method for the Optimization of Long-Horizon Tank Blending and Scheduling Operations. https://arxiv.org/abs/2006.07539

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