A critical review of planning and scheduling in steel-making and continuous casting in the steel industry

Lee, Myungho; Moon, Kyungduk; Lee, Kangbok; Hong, Juntaek; Pinedo, Michael

doi:10.1080/01605682.2023.2265416

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2024

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Cited by 4 publications

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“…In actual industrial production, with the increasingly fierce competition among enterprises, jobs with similar characteristics are divided into the same group for processing to adapt to the efficient production rhythm (Potts et al [1], Pei et al [2], Lee et al [3]). The group technology (expressed by GT) arises, corresponding to the group technology scheduling problem in scheduling theory.…”

Section: Introductionmentioning

confidence: 99%

Scheduling with Group Technology, Resource Allocation, and Learning Effect Simultaneously

Li,

Lv,

et al. 2024

Mathematics

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This paper studies the single-machine group scheduling problem with convex resource allocation and learning effect. The number of jobs in each group is different, and the corresponding common due dates are also different, where the processing time of jobs follows a convex function of resource allocation. Under common due date assignment, the objective is to minimize the weighted sum of earliness, tardiness, common due date, resource consumption, and makespan. To solve the problem, we present the heuristic, simulated annealing, and branch-and-bound algorithms. Computational experiments indicate that the proposed algorithms are effective.

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Section: Introductionmentioning

confidence: 99%