Process Optimization for Cutting Steel-Plates

Rothe, Markus; Reyer, Michael; Mathar, Rudolf

doi:10.5220/0006108400270037

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“…The authors of the paper (Rothe & Reyer, 2017) solve the 3D problem of guillotine cutting steel plates into blocks of various sizes. One of the peculiarities of the production is the problem of reuse of waste material left after cutting to save resources.…”

Section: Problem Statementmentioning

confidence: 99%

Rational Use Of Resources: Development Of Method And Technologes

Filippova¹,

Dyaminova²,

Vasilyeva³

et al. 2020

European Proceedings of Social and Behavioural Sciences

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Section: Problem Statementmentioning

confidence: 99%

Rational Use Of Resources: Development Of Method And Technologes

Filippova¹,

Dyaminova²,

Vasilyeva³

et al. 2020

European Proceedings of Social and Behavioural Sciences

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A Mixed-Integer Linear Programming Model for the Cutting Stock Problem in the Steel Industry

Morillo-Torres

Baena

Escobar

et al. 2021

Communications in Computer and Information Science

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A mixed-integer linear programming (MILP) model is proposed for solving a one dimension cutting stock problem (1D-CSP) in the steel industry. A case study of a metallurgical company is presented and the objective is to minimize waste in the cutting process of steel bars, considering inventory constraints and the potential use of the resulting leftovers. The computational results showed that an optimal solution was always found with an average improvement in waste reduction of 80%80%. There was no significant difference when comparing results between the complete model and the model without inventory constraints.

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Process Optimization for Cutting Steel-Plates

Cited by 2 publications

References 0 publications

Rational Use Of Resources: Development Of Method And Technologes

Rational Use Of Resources: Development Of Method And Technologes

A Mixed-Integer Linear Programming Model for the Cutting Stock Problem in the Steel Industry

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