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Production Scheduling in the Process Industry
Lund University, Sweden.
Lund University, Sweden.
Linköping University, Department of Mathematics, Optimization . Linköping University, The Institute of Technology.ORCID iD: 0000-0002-9881-4170
Linköping University, Department of Management and Engineering, Production Economics. Linköping University, The Institute of Technology.
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2013 (English)In: Proceedings for 22nd International Conference on Production Research, 2013, 2013Conference paper (Refereed)
Abstract [en]

The purpose of this paper is to formulate an optimization model for the production scheduling problem at continuous production sites. The production scheduling activity should produce a monthly schedule that accounts for orders and forecasts of all products. The plan should be updated every day, with feedback on the actual production the previous day. The actual daily production may be lower than the planned production due to disturbances, e.g. disruptions in the supply of a utility. The work is performed in collaboration with Perstorp, a world-leading company within several sectors of the specialty chemicals market. Together with Perstorp, a list of specifications for the production scheduling has been formulated. These are formulated mathematically in a mixed-integer linear program that is solved in receding horizon fashion. The formulation of the model aims to be general, such that it may be used for any process industrial site.

Place, publisher, year, edition, pages
Keyword [en]
production scheduling, process industry, real-time optimization, receding horizon, mixed-integer linear program
National Category
Computational Mathematics
URN: urn:nbn:se:liu:diva-104603OAI: diva2:697931
22nd International Conference on Production Research, 28 July - 1 August 2013, Iguassu Falls, Brazil
Process Industry Centre (PIC) supported by the Swedish Foundation for Strategic Research (SSF).
Available from: 2014-02-19 Created: 2014-02-19 Last updated: 2015-02-25

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Quttineh, Nils-HassanLidestam, Helene
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