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    Publicações

    Publicações por Adriana Cristina Cherri

    2020

    The cutting stock problem with multiple manufacturing modes applied to a construction industry

    Autores
    Lemos, FK; Cherri, AC; de Araujo, SA;

    Publicação
    International Journal of Production Research

    Abstract

    2020

    Integrated lot-sizing and one-dimensional cutting stock problem with usable leftovers

    Autores
    do Nascimento, DN; de Araujo, SA; Cherri, AC;

    Publicação
    Annals of Operations Research

    Abstract

    2022

    Minimizing saw cycles on the cutting stock problem with processing times depending on the cutting pattern

    Autores
    Lemos, FK; Cherri, AC; de Araujo, SA; Yanasse, HH;

    Publicação
    Journal of the Operational Research Society

    Abstract

    2022

    The cutting stock problem applied to the hardening process in an automotive spring factory

    Autores
    de Lara Andrade, PR; de Araujo, SA; Cherri, AC; Lemos, FK;

    Publicação
    Central European Journal of Operations Research

    Abstract

    2023

    Strip based compact formulation for two-dimensional guillotine cutting problems

    Autores
    Rodrigues, CD; Cherri, AC; de Araujo, SA;

    Publicação
    Computers & Operations Research

    Abstract

    2014

    The one-dimensional cutting stock problem with usable leftovers - A survey

    Autores
    Cherri A.C.; Arenales M.N.; Yanasse H.H.; Poldi K.C.; Gonçalves Vianna A.C.;

    Publicação
    European Journal of Operational Research

    Abstract
    In this article, we review published studies that consider the solution of the one-dimensional cutting stock problem (1DCSP) with the possibility of using leftovers to meet future demands, if long enough. The one-dimensional cutting stock problem with usable leftovers (1DCSPUL) is a problem frequently encountered in practical settings but often, it is not dealt with in an explicit manner. For each work reviewed, we present the application, the mathematical model if one is proposed and comments on the computational results obtained. The approaches are organized into three classes: heuristics, item-oriented, or cutting pattern-oriented. © 2014 Elsevier B.V. All rights reserved.

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