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Computational Experiments

  • Imke MattikEmail author
Chapter
  • 421 Downloads
Part of the Produktion und Logistik book series (PL)

Abstract

To test the proposed integrated scheduling approach in both scheduling sequences, problem instances were randomly generated. Corresponding parameter values and the characteristics of the scheduling tasks, e.g., the sequencing conditions or minimum batch sizes, were based on the real-life scheduling settings of a leading European steel company. We consider a steel plant with two CCs that differ in terms of production speed and product quality. Therefore, each steel grade is assigned to one specific caster based on product quality restrictions. Although the number of possibly produced steel grades is high due to minimum batch sizes of 250 tons and 500 tons at the CC and the HSM, respectively, a limit of up to 35 steel grades can be produced on both casters per day. Throughout the experiments, a short-term planning horizon of 28 days was considered. The plant operated 7 days per week and 24 hours per day.

Keywords

Setup Time Idle Time Steel Grade Slack Time Product Portfolio 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Fachmedien Wiesbaden 2014

Authors and Affiliations

  1. 1.Technische Universität BerlinBerlinGermany

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