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A comparative study of exact methods for the bi-objective integer one-dimensional cutting stock problem

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  • Angelo Aliano Filho
  • António Carlos Moretti
  • Margarida Vaz Pato

Abstract

This article addresses the bi-objective integer cutting stock problem in one dimension. This problem has great importance and use in various industries, including steel mills. The bi-objective model considered aims to minimize the frequency of cutting patterns to meet the minimum demand for each item requested and the number of different cutting patterns to be used, being these conflicting objectives. In this study, we apply three classic methods of scalarization: weighted sum, Chebyshev metric and ε-Constraint. This last method is developed to obtain all of the efficient solutions. Also, we propose and test a fourth method, modifying the Chebyshev metric, without the insertion of additional variables in the formulation of the sub-problems. The computational experiments with randomly generated real size instances illustrate and attest the suitability of the bi-objective model for this problem, as well as the applicability of all the proposed exact algorithms, thus showing that they are useful tools for decision makers in this area. Moreover, the modified metric method improved with respect to the performance of the classical version in the tests.

Suggested Citation

  • Angelo Aliano Filho & António Carlos Moretti & Margarida Vaz Pato, 2018. "A comparative study of exact methods for the bi-objective integer one-dimensional cutting stock problem," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 69(1), pages 91-107, January.
    • Handle: RePEc:taf:tjorxx:v:69:y:2018:i:1:p:91-107
    DOI: 10.1057/s41274-017-0214-7
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    Cited by:

    1. Angelo Aliano Filho & Antonio Carlos Moretti & Margarida Vaz Pato & Washington Alves Oliveira, 2021. "An exact scalarization method with multiple reference points for bi-objective integer linear optimization problems," Annals of Operations Research, Springer, vol. 296(1), pages 35-69, January.
    2. Mateus Martin & Horacio Hideki Yanasse & Luiz Leduíno Salles-Neto, 2022. "Pattern-based ILP models for the one-dimensional cutting stock problem with setup cost," Journal of Combinatorial Optimization, Springer, vol. 44(1), pages 557-582, August.
    3. Silva, Eduardo M. & Melega, Gislaine M. & Akartunalı, Kerem & de Araujo, Silvio A., 2023. "Formulations and theoretical analysis of the one-dimensional multi-period cutting stock problem with setup cost," European Journal of Operational Research, Elsevier, vol. 304(2), pages 443-460.

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