An MILP Approach for Short-term Scheduling of Batch Operations

Research output: Chapter in Book/Report/Conference proceedingChapterScientificpeer-review


In this paper, we address the short-term scheduling of multipurpose batch plants, a challenging problem that has received growing attention in the past few years. We present a new mixed integer linear programming (MILP) framework based on the state-task network (STN), which employs a multi-grid continuous-time approach. Compared to other formulations in the literature, the proposed model leads to smaller and simpler mathematical models with strong LP-relaxations, which is reflected in the ability to find the optimal solutions in shorter CPU times. We demonstrate the performance of our model with a complex and comprehensive case study from the literature.
Original languageEnglish
Title of host publicationComputer Aided Chemical Engineering
ISBN (Electronic)978-0-12-819939-8, 978-0-12-818634-3
Publication statusPublished - 2019
MoE publication typeA3 Part of a book or another research book

Publication series

NameComputer Aided Chemical Engineering
Volume 46
ISSN (Print)1570-7946

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  • Projects

    Synergistic and intelligent process optimization

    Ikonen, T., Harjunkoski, I., Mostafaei, H. & Mohammadi, M.


    Project: Academy of Finland: Other research funding

    Cite this

    Mostafaei, H., & Harjunkoski, I. (2019). An MILP Approach for Short-term Scheduling of Batch Operations. In Computer Aided Chemical Engineering (pp. 649-654). (Computer Aided Chemical Engineering ; Vol. 46). Elsevier.