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Simultaneously scheduling multiple turns for steel color-coating production

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  • Tang, Lixin
  • Wang, Xianpeng

Abstract

This paper investigates a large-scale scheduling problem in the iron and steel industry, called color-coating production scheduling (CCPS). The problem is to generate multiple production turns for the galvanized coils that dynamically arrive from upstream lines within a given scheduling horizon, and at the same time determine the sequence of these turns so that the productivity and product quality are maximized while the production cost and the number of generated turns are minimized. We formulate this problem as a mixed integer nonlinear program and propose a tabu search heuristic to obtain satisfactory solutions. Results on real production instances show that the presented model and heuristic are more effective and efficient with comparison to manual scheduling. A practical scheduling system for CCPS combining the model and heuristic has been developed and successfully implemented in a major iron and steel enterprise in China.

Suggested Citation

  • Tang, Lixin & Wang, Xianpeng, 2009. "Simultaneously scheduling multiple turns for steel color-coating production," European Journal of Operational Research, Elsevier, vol. 198(3), pages 715-725, November.
    • Handle: RePEc:eee:ejores:v:198:y:2009:i:3:p:715-725
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    References listed on IDEAS

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    Cited by:

    1. Wiebke Höhn & Felix G. König & Rolf H. Möhring & Marco E. Lübbecke, 2011. "Integrated Sequencing and Scheduling in Coil Coating," Management Science, INFORMS, vol. 57(4), pages 647-666, April.
    2. Ana Rita Antunes & Marina A. Matos & Ana Maria A. C. Rocha & Lino A. Costa & Leonilde R. Varela, 2022. "A Statistical Comparison of Metaheuristics for Unrelated Parallel Machine Scheduling Problems with Setup Times," Mathematics, MDPI, vol. 10(14), pages 1-19, July.
    3. Huo, Baofeng & Gu, Minhao & Jiang, Bin, 2018. "China-related POM research: Literature review and suggestions for future research," International Journal of Production Economics, Elsevier, vol. 203(C), pages 134-153.

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