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Aircraft final assembly line scheduling with user preferences and equity of work distribution

Author

Listed:
  • D. Lovato

    (University of Toulouse, IRIT)

  • R. Guillaume

    (University of Toulouse, IRIT)

  • C. Thierry

    (University of Toulouse, IRIT)

  • O. Battaïa

    (KEDGE Business School)

Abstract

We investigate the task scheduling problem within an aircraft Final Assembly Line aimed at enhancing the ergonomic conditions for operators. We propose two optimization models tailored for decision-makers to integrate ergonomic considerations into the scheduling process, with the overarching goal of improving operator working conditions. The first model employs the discrete version of the Choquet integral to depict user-preferred ergonomic task sequences. The second model utilizes a min-max criterion and Gini coefficient to assess the equity of task distribution among operators. Through a case study within the aeronautical industry, we analyze the effectiveness of these criteria in decision-making processes. The results obtained are thoroughly discussed, and avenues for future research are outlined.

Suggested Citation

  • D. Lovato & R. Guillaume & C. Thierry & O. Battaïa, 2025. "Aircraft final assembly line scheduling with user preferences and equity of work distribution," Flexible Services and Manufacturing Journal, Springer, vol. 37(2), pages 348-366, June.
  • Handle: RePEc:spr:flsman:v:37:y:2025:i:2:d:10.1007_s10696-024-09566-6
    DOI: 10.1007/s10696-024-09566-6
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    References listed on IDEAS

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    1. Serena Finco & Daria Battini & Xavier Delorme & Alessandro Persona & Fabio Sgarbossa, 2020. "Workers’ rest allowance and smoothing of the workload in assembly lines," International Journal of Production Research, Taylor & Francis Journals, vol. 58(4), pages 1255-1270, February.
    2. Daria Battini & Martina Calzavara & Alena Otto & Fabio Sgarbossa, 2017. "Preventing ergonomic risks with integrated planning on assembly line balancing and parts feeding," International Journal of Production Research, Taylor & Francis Journals, vol. 55(24), pages 7452-7472, December.
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    4. Anthony Quenehen & Nathalie Klement & Amine Mohamed Abdeljaouad & Lionel Roucoules & Olivier Gibaru, 2023. "Economic and ergonomic performance enhancement in assembly process through multiple collaboration modes between human and robot," International Journal of Production Research, Taylor & Francis Journals, vol. 61(5), pages 1517-1531, March.
    5. Serena Finco & Martina Calzavara & Fabio Sgarbossa & Ilenia Zennaro, 2021. "Including rest allowance in mixed-model assembly lines," International Journal of Production Research, Taylor & Francis Journals, vol. 59(24), pages 7468-7490, December.
    6. Manuel Chica & Joaquín Bautista & Jesica de Armas, 2019. "Benefits of robust multiobjective optimization for flexible automotive assembly line balancing," Flexible Services and Manufacturing Journal, Springer, vol. 31(1), pages 75-103, March.
    7. Daria Battini & Xavier Delorme & Alexandre Dolgui & Alessandro Persona & Fabio Sgarbossa, 2016. "Ergonomics in assembly line balancing based on energy expenditure: a multi-objective model," International Journal of Production Research, Taylor & Francis Journals, vol. 54(3), pages 824-845, February.
    8. Kathryn E. Stecke & Mahdi Mokhtarzadeh, 2022. "Balancing collaborative human–robot assembly lines to optimise cycle time and ergonomic risk," International Journal of Production Research, Taylor & Francis Journals, vol. 60(1), pages 25-47, January.
    9. Damien Lovato & Romain Guillaume & Caroline Thierry & Olga Battaia, 2023. "Managing disruptions in aircraft assembly lines with staircase criteria," International Journal of Production Research, Taylor & Francis Journals, vol. 61(2), pages 632-648, January.
    10. Eric Budish, 2011. "The Combinatorial Assignment Problem: Approximate Competitive Equilibrium from Equal Incomes," Journal of Political Economy, University of Chicago Press, vol. 119(6), pages 1061-1103.
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