Hot Strip Mill Scheduling Under Consideration of Energy Consumption

  • Karen Puttkammer
  • Matthias G. Wichmann
  • Thomas S. Spengler
Conference paper
Part of the Operations Research Proceedings book series (ORP)


In steel industry hot rolling is an energy-intensive process as steel slabs need to be heated to about 1,250 \(^\circ \)C before being rolled on the hot strip mill. Due to time-dependent piecewise energy demand, the total energy consumption for heating is determined by the hot rolling schedule. However, there is no modeling approach known which incorporates the interdependencies between the schedule, the charging time of the slabs, their charging temperature and the energy requirement for heating. We present a MILP formulation for the hot strip mill scheduling problem (HSMSP) under consideration of energy consumption. It takes into account the mentioned interdependencies as well as setups and makespan.


Setup Time Total Energy Consumption Setup Cost Width Profile Adjacent Order 
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.


  1. 1.
    Chen, Y. W., Lu, Y. Z., Ge, M., Yang, G. K., & Pan, C. C. (2012). Development of hybrid evolutionary algorithms for production scheduling of hot strip mill. Computers and Operations Research, 39(2), 339–349.CrossRefGoogle Scholar
  2. 2.
    Jia, S., Zhu, J., Yang, G., Yi, J., & Du, B. (2012). A decomposition-based hierarchical optimization algorithm for hot rolling batch scheduling problem. The International Journal of Advanced Manufacturing Technology, 61(5), 487–501.CrossRefGoogle Scholar
  3. 3.
    Liu, S. (2010). Model and algorithm for hot rolling batch planning in steel plants. International Journal of Information and Management Sciences, 21, 247–263.Google Scholar
  4. 4.
    Tu, N., Luo, X., & Chai, T. (2011). Two-stage method for solving large-scale hot rolling planning problem in steel production. In International Federation of Automatic Control (eds.), Preprints of the 18th IFAC World Congress (Vol. 18, pp. 12120–12125).Google Scholar
  5. 5.
    Wang, X., & Tang, L. (2008). Integration of batching and scheduling for hot rolling production in the steel industry. The International Journal of Advanced Manufacturing Technology, 36(5), 431–441.CrossRefGoogle Scholar
  6. 6.
    Yadollahpour, M., Bijari, M., Kavosh, S., & Mahnam, M. (2009). Guided local search algorithm for hot strip mill scheduling problem with considering hot charge rolling. The International Journal of Advanced Manufacturing Technology, 45(11), 1215–1231.CrossRefGoogle Scholar
  7. 7.
    Zhao, J., Wang, W., Liu, Q., Wang, Z., & Shi, P. (2009). A two-stage scheduling method for hot rolling and its application. Control Engineering Practice, 17(6), 629–641.CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Karen Puttkammer
    • 1
  • Matthias G. Wichmann
    • 1
  • Thomas S. Spengler
    • 1
  1. 1.Institute of Automotive Management and Industrial ProductionTechnische Universität BraunschweigBraunschweigGermany

Personalised recommendations