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Overlap Detection in 2D Amorphous Shapes for Paper Optimization in Digital Printing Presses

Author

Listed:
  • Yainier Labrada-Nueva

    (Research Center in Engineering and Applied Sciences, Autonomous University of Morelos State (UAEM), Cuernavaca 62209, Mexico)

  • Martin H. Cruz-Rosales

    (Faculty of Accounting, Administration & Informatics, UAEM, Cuernavaca 62209, Mexico)

  • Juan Manuel Rendón-Mancha

    (Research Center in Sciences, IICBA-UAEM, Cuernavaca 62209, Mexico)

  • Rafael Rivera-López

    (Computation and Systems Department, National Technological Institute/Veracruz Technological Institute, Veracruz 91860, Mexico)

  • Marta Lilia Eraña-Díaz

    (Research Center in Engineering and Applied Sciences, Autonomous University of Morelos State (UAEM), Cuernavaca 62209, Mexico)

  • Marco Antonio Cruz-Chávez

    (Research Center in Engineering and Applied Sciences, Autonomous University of Morelos State (UAEM), Cuernavaca 62209, Mexico)

Abstract

Paper waste in the mockups design with regular, irregular, and amorphous patterns is a critical problem in digital printing presses. Paper waste reduction directly impacts production costs, generating business and environmental benefits. This problem can be mapped to the two-dimensional irregular bin-packing problem. In this paper, an iterated local search algorithm using a novel neighborhood structure to detect overlaps between amorphous shapes is introduced. This algorithm is used to solve the paper waste problem, modeled as one 2D irregular bin-packing problem. The experimental results show that this approach works efficiently and effectively to detect and correct the overlaps between regular, irregular, and amorphous figures.

Suggested Citation

  • Yainier Labrada-Nueva & Martin H. Cruz-Rosales & Juan Manuel Rendón-Mancha & Rafael Rivera-López & Marta Lilia Eraña-Díaz & Marco Antonio Cruz-Chávez, 2021. "Overlap Detection in 2D Amorphous Shapes for Paper Optimization in Digital Printing Presses," Mathematics, MDPI, vol. 9(9), pages 1-22, May.
    • Handle: RePEc:gam:jmathe:v:9:y:2021:i:9:p:1033-:d:548143
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    References listed on IDEAS

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    Cited by:

    1. Walaa H. El-Ashmawi & Ahmad Salah & Mahmoud Bekhit & Guoqing Xiao & Khalil Al Ruqeishi & Ahmed Fathalla, 2023. "An Adaptive Jellyfish Search Algorithm for Packing Items with Conflict," Mathematics, MDPI, vol. 11(14), pages 1-28, July.
    2. Qiang Luo & Yunqing Rao, 2022. "Improved Sliding Algorithm for Generating No-Fit Polygon in the 2D Irregular Packing Problem," Mathematics, MDPI, vol. 10(16), pages 1-18, August.

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