Robust Optimisation for Integrated Planning, Scheduling and Dynamic Optimisation of Continuous Processes under Uncertainty

Robust Optimisation for Integrated Planning, Scheduling and Dynamic Optimisation of Continuous Processes under Uncertainty

Blog Article

In this work, a robust optimisation approach has been developed to handle the uncertainty in integrated planning, scheduling and dynamic optimisation for continuous manufacturing processes.We first propose an integrated miken pro series 13 optimisation model for multi-product continuous processes.A robust optimisation approach is then introduced to address the process uncertainty.This robust optimisation formulation confines the bl2420pt uncertain coefficients to symmetrical sets and uses an uncertainty budget to control the degree of conservatism for the solution.We then use the flexible recipe method to enhance computational efficiency.

A case study demonstrates that the robust production strategy leads to higher profits than the deterministic production strategy for worst-case circumstances under the same uncertainty assumptions.