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An Iterated Greedy Matheuristic for Scheduling in Steelmaking-Continuous Casting Process

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Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT,volume 630)


The steelmaking-continuous casting (SCC) is a bottleneck process in the steel production. Due to elevated product variety and environmental restrictions on the steelmaking industry, efficient operation of the SCC has become more crucial. This paper considers an SCC scheduling problem to minimize the weighted sum of total waiting time, total earliness, and total tardiness while satisfying the maximum waiting time and the continuous casting constraints. We propose a generic mixed integer linear programming (MILP) model that can express various SCC scheduling requirements. Using the MILP model, we develop an iterated greedy matheuristic inspired by the iterated greedy method. An initial SCC schedule is constructed by solving small MILP models one after another. Then, it is improved by solving a series of small MILP models representing the destruction and construction of the prior schedule. Through a numerical experiment, we show that the proposed algorithm can obtain efficient solutions in a short time and outperforms an NSGA-II algorithm for most test cases of practical size.


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  1. Cui, H., Luo, X., Wang, Y.: Scheduling of steelmaking-continuous casting process using deflected surrogate Lagrangian relaxation approach and DC algorithm. Comput. Ind. Eng. 140, 106271 (2020)

    Article  Google Scholar 

  2. Deb, K., Pratap, A., Agarwal, S., Meyarivan, T.: A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Trans. Evol. Comput. 6(2), 182–197 (2002)

    Article  Google Scholar 

  3. Dutta, S.K., Chokshi, Y.B.: Secondary steelmaking. In: Basic Concepts of Iron and Steel Making, pp. 497–536. Springer, Singapore (2020).

    Chapter  Google Scholar 

  4. García-Menéndez, D., Morán-Palacios, H., Ortega-Fernández, F., Díaz-Piloñeta, M.: Scheduling in continuous steelmaking casting: a systematic review. ISIJ Int. 60(6), 1097–1107 (2020)

    Article  Google Scholar 

  5. Long, J., Zheng, Z., Gao, X., Pardalos, P.M.: A hybrid multi-objective evolutionary algorithm based on NSGA-II for practical scheduling with release times in steel plants. J. Oper. Res. Soc. 67(9), 1184–1199 (2016).

    Article  Google Scholar 

  6. Missbauer, H., Hauber, W., Stadler, W.: A scheduling system for the steelmaking-continuous casting process. A case study from the steel-making industry. Int. J. Prod. Res. 47(15), 4147–4172 (2009)

    Article  Google Scholar 

  7. Pan, Q.K.: An effective co-evolutionary artificial bee colony algorithm for steelmaking-continuous casting scheduling. Eur. J. Oper. Res. 250(3), 702–714 (2016)

    Article  MathSciNet  Google Scholar 

  8. Ruiz, R., Stützle, T.: A simple and effective iterated greedy algorithm for the permutation flowshop scheduling problem. Eur. J. Oper. Res. 177(3), 2033–2049 (2007)

    Article  Google Scholar 

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Correspondence to Kangbok Lee .

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Hong, J., Lee, K., Lee, K., Moon, K. (2021). An Iterated Greedy Matheuristic for Scheduling in Steelmaking-Continuous Casting Process. In: Dolgui, A., Bernard, A., Lemoine, D., von Cieminski, G., Romero, D. (eds) Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems. APMS 2021. IFIP Advances in Information and Communication Technology, vol 630. Springer, Cham.

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-85873-5

  • Online ISBN: 978-3-030-85874-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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