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A GRASP heuristic for the hot strip mill scheduling problem under consideration of energy consumption

Author

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  • Karen Puttkammer

    (Technische Universität Braunschweig)

  • Matthias G. Wichmann

    (Technische Universität Braunschweig)

  • Thomas S. Spengler

    (Technische Universität Braunschweig)

Abstract

Hot strip mill rolling is an energy intensive production process in the steel industry. It converts steel slabs at high temperatures into steel strips. In this paper we address the related planning problem, i.e. the hot strip mill scheduling problem. The task is to determine the production sequence of production orders within a schedule. The involved energy consumption for heating individual slabs is explicitly considered in a new mixed integer problem formulation. The model is solved using a greedy randomized adaptive search procedure. In a numerical case study based on real world data the applicability and performance of the proposed heuristic is analyzed. The solution approach is able to find optimal solutions for small problem instances. Moreover, it solves industry size problem instances within reasonable time and outperforms the rule based planning approach prevalent in praxis.

Suggested Citation

  • Karen Puttkammer & Matthias G. Wichmann & Thomas S. Spengler, 2016. "A GRASP heuristic for the hot strip mill scheduling problem under consideration of energy consumption," Journal of Business Economics, Springer, vol. 86(5), pages 537-573, July.
    • Handle: RePEc:spr:jbecon:v:86:y:2016:i:5:d:10.1007_s11573-015-0783-3
    DOI: 10.1007/s11573-015-0783-3
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    References listed on IDEAS

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    1. Tang, Lixin & Liu, Jiyin & Rong, Aiying & Yang, Zihou, 2000. "A multiple traveling salesman problem model for hot rolling scheduling in Shanghai Baoshan Iron & Steel Complex," European Journal of Operational Research, Elsevier, vol. 124(2), pages 267-282, July.
    2. Lopez, Leo & Carter, Michael W. & Gendreau, Michel, 1998. "The hot strip mill production scheduling problem: A tabu search approach," European Journal of Operational Research, Elsevier, vol. 106(2-3), pages 317-335, April.
    3. Gupta, Skylab R. & Smith, Jeffrey S., 2006. "Algorithms for single machine total tardiness scheduling with sequence dependent setups," European Journal of Operational Research, Elsevier, vol. 175(2), pages 722-739, December.
    4. Tang, Lixin & Liu, Jiyin & Rong, Aiying & Yang, Zihou, 2001. "A review of planning and scheduling systems and methods for integrated steel production," European Journal of Operational Research, Elsevier, vol. 133(1), pages 1-20, August.
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    Cited by:

    1. Lulu Song & Ying Meng & Qingxin Guo & Xinchang Gong, 2023. "Improved Differential Evolution Algorithm for Slab Allocation and Hot-Rolling Scheduling Integration Problem," Mathematics, MDPI, vol. 11(9), pages 1-19, April.

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    More about this item

    Keywords

    Hot strip mill scheduling; Energy-oriented scheduling; Steel production; GRASP heuristic;
    All these keywords.

    JEL classification:

    • L61 - Industrial Organization - - Industry Studies: Manufacturing - - - Metals and Metal Products; Cement; Glass; Ceramics

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