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Selection of assembly lines feeding policies based on parts features and scenario conditions

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  • Antonio Casimiro Caputo
  • Pacifico Marcello Pelagagge
  • Paolo Salini

Abstract

This paper explores the impact of parts features, i.e. unit size and cost, as well as scenario variables on the total delivery cost of materials to assembly lines workstations, according to different materials feeding processes (kitting, line storage and just-in-time delivery). After building cost models based on parts features explicitation, a sensitivity and parametric analysis is carried out in order to justify the cost-effectiveness of each feeding policy and understand whether economic break-even points exist among available feeding alternatives on the basis of the values assumed by relevant attributes of parts. This allows to map areas where each feeding policy is more convenient and also allows a quick method to choose the best feeding policy for each part on an economic basis.

Suggested Citation

  • Antonio Casimiro Caputo & Pacifico Marcello Pelagagge & Paolo Salini, 2018. "Selection of assembly lines feeding policies based on parts features and scenario conditions," International Journal of Production Research, Taylor & Francis Journals, vol. 56(3), pages 1208-1232, February.
    • Handle: RePEc:taf:tprsxx:v:56:y:2018:i:3:p:1208-1232
    DOI: 10.1080/00207543.2017.1407882
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    Cited by:

    1. Emilio Moretti & Elena Tappia & Veronique Limère & Marco Melacini, 2021. "Exploring the application of machine learning to the assembly line feeding problem," Operations Management Research, Springer, vol. 14(3), pages 403-419, December.
    2. Emilio Moretti & Elena Tappia & Martina Mauri & Marco Melacini, 2022. "A performance model for mobile robot-based part feeding systems to supermarkets," Flexible Services and Manufacturing Journal, Springer, vol. 34(3), pages 580-613, September.
    3. Adenipekun, Ebenezer Olatunde & Limère, Veronique & Schmid, Nico André, 2022. "The impact of transportation optimisation on assembly line feeding," Omega, Elsevier, vol. 107(C).
    4. Stefan Fedtke & Nils Boysen & Patrick Schumacher, 2023. "In-line kitting for part feeding of assembly lines: workload balancing and storage assignment to reduce the workers’ walking effort," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 45(3), pages 717-758, September.

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