A three-stage solution algorithm for chemical production scheduling

Research output: Contribution to journalConference articlepeer-review

1 Scopus citations


A novel algorithm that exploits the strengths of discrete- and continuous-time scheduling mathematical programming formulations is proposed. It consists of three stages, in which (i) an approximate solution is obtained using a discrete-time mixed-integer programming scheduling model, (ii) the solution is mapped onto continuous-time grids via a mapping algorithm, and (iii) the accuracy of the solution is improved by solving a continuous-time linear programming model. Two types of continuous-time grids are introduced, namely unit- and material-specific grids, to ensure feasible unit utilization and material balance in the model. An extensive computational study is performed, showing that the algorithm is capable of finding high quality solutions orders of magnitudes faster than traditional methods.

Original languageEnglish (US)
Pages (from-to)838-843
Number of pages6
Issue number1
StatePublished - 2019
Externally publishedYes
Event12th IFAC Symposium on Dynamics and Control of Process Systems, including Biosystems, DYCOPS 2019 - Florianopolis, Brazil
Duration: Apr 23 2019Apr 26 2019

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering


  • Chemical production scheduling
  • Network environment
  • Scheduling algorithm
  • Solution method


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