Hierarchical Production Scheduling - A Case Study at Perstorp

Anna Lindholm, Helene Lidestam, Nils-Hassan Quttineh

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceedingpeer-review


Planning and scheduling are functions that have large economic impact in the chemical process industry. For integrated sites with many interconnected production areas, obtaining production schedules that respect all production-related constraints is a complex task. One important issue is the constraints due to disturbances in utilities, such as steam and cooling water. These are often site-wide disturbances that may make it impossible to maintain desired production rates in several production areas at a site. In this study, scheduling at two levels of the functional hierarchy at a site of a world lead chemical industry, Perstorp, is handled. The activities are denoted production scheduling (PS) and detailed production scheduling (DPS). Real data of incoming orders and utility disturbances are used to produce a production schedule and detailed production schedule for one month. The PS and DPS problems are formulated as optimization problems, where production-related constraints such as production rate constraints, inventory limitations, and start-up costs are included. The objective functions of the PS and DPS problems are formulated to reflect the importance of different issues at the site. The procedure aims to show how the hierarchical optimization framework may be used to provide decision support for how to operate the production at a site in order to maximize profit while minimizing the effects of site-wide disturbances.
Original languageEnglish
Title of host publication24th European Symposium on Computer Aided Process Engineering, PTS A and B
Publication statusPublished - 2014
Event24th European Symposium on Computer Aided Process Engineering (ESCAPE) - Budapest, HUNGARY
Duration: 2014 Jun 152014 Jun 18

Publication series

ISSN (Print)1570-7946


Conference24th European Symposium on Computer Aided Process Engineering (ESCAPE)

Subject classification (UKÄ)

  • Control Engineering


  • production scheduling
  • utility disturbances
  • chemical industry
  • optimization


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