Integrated planning, scheduling, and dynamic optimization for sequential batch processes

Yunfei Chu, Fengqi You

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

We solve the challenging problem of integrated planning, scheduling, and dynamic optimization for sequential batch processes with fixed batch sizes. The integrated problem is first formulated into a complicated mixed-integer nonlinear programing (MINLP) problem. There are a planning model, multiple scheduling models in planning periods, and a number of dynamic models describing task execution processes. To efficiently solve the complex MINLP problem, we develop an efficient method which separates the subproblems using metamodels to represent the linking functions. Compared to the direct solution approach, the proposed method significantly reduces the computational time.

Original languageEnglish (US)
Title of host publicationACC 2015 - 2015 American Control Conference
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages5635-5640
Number of pages6
ISBN (Electronic)9781479986842
DOIs
StatePublished - Jul 28 2015
Event2015 American Control Conference, ACC 2015 - Chicago, United States
Duration: Jul 1 2015Jul 3 2015

Publication series

NameProceedings of the American Control Conference
Volume2015-July
ISSN (Print)0743-1619

Other

Other2015 American Control Conference, ACC 2015
CountryUnited States
CityChicago
Period7/1/157/3/15

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Integrated planning, scheduling, and dynamic optimization for sequential batch processes'. Together they form a unique fingerprint.

Cite this