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Packaging Process Optimization in Multihead Weighers with Double-Layered Upright and Diagonal Systems

Author

Listed:
  • Rafael García-Jiménez

    (Department of Exact Sciences, Universidad Simón Bolívar, Barranquilla 080020, Colombia)

  • J. Carlos García-Díaz

    (Department of Applied Statistics and Operations Research and Quality, Universitat Politècnica de València, 46022 Valencia, Spain)

  • Alexander D. Pulido-Rojano

    (Grupo de Consultoría e Innovación JJ&N S.A.S., Department of Industrial Engineering, Universidad Simón Bolívar, Barranquilla 080020, Colombia)

Abstract

In multihead weighers, packaging processes seek to find the best combination of passage hoppers whose product content provides a total package weight as close as possible to its (nominal) label weight. The weighing hoppers arranged in these machines dispense the product quantity that each package contains through computer algorithms designed and executed for this purpose. For its part, in the packaging process for double-layered multihead weighers, all hoppers are arranged in two levels. The first layer comprises a group of weighing hoppers, and the second comprises a set of booster hoppers placed uprightly or diagonally to each weighing hopper based on design of the machine. In both processes, the initial machine configuration is the same; however, the hopper selection algorithm works differently. This paper proposes a new packaging process optimization algorithm for double-layer upright and diagonal machines, wherein the hopper subset combined has previously been defined, and the packaging weight is expressed as actual values. As part of its validation, product filling strategies were implemented for weighing hoppers to assess the algorithm in different scenarios. Results from the process performance metrics prove that the new algorithm improves processes by reducing variability. In addition, results reveal that some machine configurations were also able to improve their operation.

Suggested Citation

  • Rafael García-Jiménez & J. Carlos García-Díaz & Alexander D. Pulido-Rojano, 2021. "Packaging Process Optimization in Multihead Weighers with Double-Layered Upright and Diagonal Systems," Mathematics, MDPI, vol. 9(9), pages 1-20, May.
    • Handle: RePEc:gam:jmathe:v:9:y:2021:i:9:p:1039-:d:548498
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    References listed on IDEAS

    as
    1. J. Carlos García-Díaz & Alexander Pulido-Rojano & Vicent Giner-Bosch, 2017. "Bi-objective optimisation of a multihead weighing process," European Journal of Industrial Engineering, Inderscience Enterprises Ltd, vol. 11(3), pages 403-423.
    2. Alexander Pulido-Rojano & J. Carlos García-Díaz, 2020. "Optimisation algorithms for improvement of a multihead weighing process," International Journal of Productivity and Quality Management, Inderscience Enterprises Ltd, vol. 29(1), pages 109-125.
    3. Gao, Chao & Lu, Guanzhou & Yao, Xin & Li, Jinlong, 2017. "An iterative pseudo-gap enumeration approach for the Multidimensional Multiple-choice Knapsack Problem," European Journal of Operational Research, Elsevier, vol. 260(1), pages 1-11.
    4. del Castillo, Enrique & Beretta, Alessia & Semeraro, Quirico, 2017. "Optimal setup of a multihead weighing machine," European Journal of Operational Research, Elsevier, vol. 259(1), pages 384-393.
    5. Wishon, Christopher & Villalobos, J. Rene, 2016. "Robust efficiency measures for linear knapsack problem variants," European Journal of Operational Research, Elsevier, vol. 254(2), pages 398-409.
    6. J. Carlos García-Díaz & Alexander Pulido-Rojano, 2020. "Performance analysis and optimisation of new strategies for the setup of a multihead weighing process," European Journal of Industrial Engineering, Inderscience Enterprises Ltd, vol. 14(1), pages 58-84.
    Full references (including those not matched with items on IDEAS)

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