A General Model for Periodic Chemical Production Scheduling

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Abstract

We present a general mixed-integer programming model for periodic production scheduling. The formulation, which is based on the state-task network (STN) representation, allows us to model (1) accurate inventory levels, (2) various inventory policies, (3) different demand patterns and profiles, and (4) flexible assignment of tasks to units. We first develop a model for batch processes and extend it to handle continuous processes. The model addresses all the limitations of previous approaches to periodic scheduling and allows us to address various types of periodic scheduling problems. Finally, we demonstrate the performance of the model when applied to different types of processes through several case studies.

Original languageEnglish (US)
Pages (from-to)2505-2515
Number of pages11
JournalIndustrial and Engineering Chemistry Research
Volume59
Issue number6
DOIs
StatePublished - Feb 12 2020
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Chemistry(all)
  • Chemical Engineering(all)
  • Industrial and Manufacturing Engineering

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