A new continuous-time state task network formulation for short term scheduling of multipurpose batch plants

Christos T. Maravelias, Ignacio E. Grossmann

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

A new continuous-time MILP model for the short-term scheduling of multipurpose batch plants is presented. The proposed model relies on the idea of the State Task Network (STN) and addresses the general problem of batch scheduling, accounting for resources other than equipment (utilities), variable batch sizes and processing times, various storage policies (UIS/FIS/NIS/ZW) and batch splitting/mixing. Compared to other general continuous STN formulations, the proposed model is more efficient. Compared to event-driven formulations, it often gives better solutions being equally fast. The application of the model is illustrated through an example problem.

Original languageEnglish (US)
Pages (from-to)215-220
Number of pages6
JournalComputer Aided Chemical Engineering
Volume14
Issue numberC
DOIs
StatePublished - 2003
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Chemical Engineering(all)
  • Computer Science Applications

Fingerprint

Dive into the research topics of 'A new continuous-time state task network formulation for short term scheduling of multipurpose batch plants'. Together they form a unique fingerprint.

Cite this