Robust optimisation for integrated planning, scheduling and dynamic optimisation of continuous processes under uncertainty

Hanyu Shi, Fengqi You*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapter

4 Scopus citations

Abstract

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 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 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.

Original languageEnglish (US)
Title of host publicationChemical Engineering Transactions
PublisherItalian Association of Chemical Engineering - AIDIC
Pages859-864
Number of pages6
Volume45
ISBN (Electronic)9788895608365
DOIs
StatePublished - Oct 1 2015

ASJC Scopus subject areas

  • Chemical Engineering(all)

Fingerprint Dive into the research topics of 'Robust optimisation for integrated planning, scheduling and dynamic optimisation of continuous processes under uncertainty'. Together they form a unique fingerprint.

Cite this