A General Mixed-Integer Programming State-Space Model for Online Scheduling

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Scopus citations

Abstract

We present a framework and a generalized state-space model formulation that allows modeling several features that are necessary when a scheduling model is used in an online setting. These features are: (1) task-delays and unit breakdowns (2) robust scheduling through the use of conservative yield estimates and processing times; (3) feedback on task-yield estimates before the task finishes; (4) task termination during its execution; and (5) unit capacity degradation and maintenance. Further, we propose a systematic scheme for updating the state of the process, as well as ability to modify states through disturbance parameters, based on feedback information.

Original languageEnglish (US)
Title of host publicationComputer Aided Chemical Engineering
PublisherElsevier B.V.
Pages1321-1326
Number of pages6
DOIs
StatePublished - Jan 1 2018
Externally publishedYes

Publication series

NameComputer Aided Chemical Engineering
Volume44
ISSN (Print)1570-7946

All Science Journal Classification (ASJC) codes

  • Chemical Engineering(all)
  • Computer Science Applications

Keywords

  • bio-manufacturing
  • model predictive control
  • rescheduling
  • uncertainty

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