CProS: A web-based application for chemical production scheduling

Shamik Misra, Lucas Ryan Buttazoni, Venkatachalam Avadiappan, Ho Jae Lee, Martin Yang, Christos T. Maravelias

Research output: Contribution to journalArticlepeer-review

Abstract

While a large range of models and methods have been proposed in the literature for chemical production scheduling, very limited tools are available for researchers to test these methods. This communication describes a web-based application (CProS) that was recently developed to facilitate the generation and solution of chemical production scheduling instances. The application offers an interface through which a user can define an instance using the state-task network (STN) representation. Given an instance, the application then automatically generates a discrete-time STN-based mixed-integer linear programming (MIP) model. In addition, the user has the option to use three different solution methods: (1) tightening constraints; (2) a reformulation; and (3) a three-stage discrete-continuous algorithm. We showcase the functionality of the application through a case study.

Original languageEnglish (US)
Article number107895
JournalComputers and Chemical Engineering
Volume164
DOIs
StatePublished - Aug 2022

All Science Journal Classification (ASJC) codes

  • Chemical Engineering(all)
  • Computer Science Applications

Keywords

  • Batch scheduling
  • Mixed integer programming
  • Solution methods

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