A hybrid metaheuristic method to optimize the order of the sequences in continuous-casting

Touil, Achraf; Echchtabi, Abdelwahed; Bellabdaoui, Adil; Charkaoui, Abdelkabir

doi:10.5267/j.ijiec.2016.2.001

Cited by 4 publications

(3 citation statements)

References 34 publications

(33 reference statements)

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“…This makes that in a general way, a coordination figure is necessary, although sometimes the program itself identifies the sequence breakout as a restatement point of the scheduling. 37,41) 2.6.5. Use of Coordinator The use of algorithms that help to consolidate the programming of a steel plant invites to think about an automation of the process.…”

Section: Contingenciesmentioning

confidence: 99%

Scheduling in Continuous Steelmaking Casting: A Systematic Review

et al. 2020

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The converter furnace and the continuous casting are the most important stages in steel production. Modern integrated processes directly connect the converter furnaces and the continuous casting machines with a flow of molten metal, and the steel is manufactured synchronously between the various machines. Starting from the traditional handmade programs for the management of these processes, during the last two decades there has been a notable increase in studies and publications in this field, trying to formulate scheduling in a rational and automatic way. The process has been approached for years through the development of both physical and operational research models, many of them theoretically. The main purpose of this study is to present a critical and in-depth evaluation of the previous studies, so that the state of the art of scheduling in steelworks can be evaluated. An approach based on a Systematic Literature Review (SLR) has been used, trying to search, evaluate, synthesize and analyze all the relevant studies for this specific field. As a result, the conclusions of the various analyses are presented and a study route is proposed for the design of the optimal planning methodology in the steelworks.

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Section: Contingenciesmentioning

confidence: 99%

Scheduling in Continuous Steelmaking Casting: A Systematic Review

et al. 2020

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“…Based on the work of Bellabdaoui and Teghem (), Touil et al. () developed a SA algorithm restricted by a tabu list. Differently from our formulation, they have to schedule many fixed sequences of jobs, each one dedicated to a particular caster, with the objective of minimizing the total completion time.…”

Section: Related Workmentioning

confidence: 99%

Modeling and solving the steelmaking and casting scheduling problem

Armellini

Borzone

Ceschia

et al. 2018

Int Trans Operational Res

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We propose a general model for the problem of planning and scheduling steelmaking and casting activities obtained by combining common features and constraints of the operations from a real plant and the literature. For tackling the problem, we develop a simulated annealing approach based on a solution space made of job permutations, which uses as submodule a chronological constructive procedure that assigns processing times and resources to jobs. Our technique, properly tuned in a statistically principled way, is able to find good solutions for a large range of different settings and horizons. In addition, it outperforms both a greedy procedure and a constraint‐based solver developed for comparison purposes on almost all instances. Finally, we have collected several real‐world instances that we make available on the web along with the solution validator and our best results.

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“…Within the first group of mathematical programming methods, researchers proposed solutions ranging from the first SMCP [10], a multi-objective integer linear programming (MILP) model [11], a Lagrangian relaxation for machine capacity and job precedence constraints based on an approximate subgradient algorithm [12]. Constraint programming methods were reported in References [13][14][15], whereas metaheuristics and hybrid methods ranged from tabu search [16], evolutionary programming [17], artificial bee colony algorithms [18], simulated annealing [19,20], genetic algorithms [21] or particle swarm optimization (PSO) [22].…”

Section: Introductionmentioning

confidence: 99%

Aluminium Parts Casting Scheduling Based on Simulated Annealing

2021

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This paper focuses on the last stage of the aluminium production process in the context of Industry 4.0: schedule optimization in the casting process. Casting is one of the oldest manufacturing processes in which a liquid material is usually poured into a mold that contains a hollow cavity of the desired shape and then allowed to solidify. This is a complex scheduling problem in which several constraints, such as different maintenance processes, maximum stocks, machine breakdowns, work shifts, or the maximum number of mold changes per day, come into play. Four objective functions have to be taken into account simultaneously. We have to minimize both the unmet demand at the end of the schedule, and the delays in the injection process with regard to daily demands. Production costs, including the cost of electricity consumption in the injection process and gas consumption associated with melting furnaces, should be minimized. Finally, the total number of mold changes throughout the schedule must also be reduced to a minimum. The simulated annealing (SA) metaheuristic has been adapted to solve this complex optimization process and parameterized for application to a wide variety of aluminium making processes. SA efficiently solves the problem and provides an optimal solution in about three minutes.

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A hybrid metaheuristic method to optimize the order of the sequences in continuous-casting

Cited by 4 publications

References 34 publications

Scheduling in Continuous Steelmaking Casting: A Systematic Review

Scheduling in Continuous Steelmaking Casting: A Systematic Review

Modeling and solving the steelmaking and casting scheduling problem

Aluminium Parts Casting Scheduling Based on Simulated Annealing

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