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An empirical assessment of the performances of three line feeding modes used in the automotive sector: line stocking vs. kitting vs. sequencing

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  • Mustapha Sali
  • Evren Sahin
  • Alain Patchong

Abstract

In high diversity, Just In Time production environments, mixed-model assembly lines aim at producing a large amount of end products that use alternative variants of components used in the assembly process. Therefore, the availability of parts required at the border of the assembly line is critical for the production process. To ensure the availability of parts needed on the line, three line feeding modes are commonly used in practice: line stocking, kitting and sequencing. The relative performance of each mode, in terms of average total operating cost, depends on various factors such as the diversity of components, parts’ physical features (i.e. weight and volume), to name a few. The impact of such parameters on the performance of line feeding modes remains still weakly studied in the literature. Through an empirical approach based on a real case, our study aims at evaluating the average total cost pertaining to each mode. The total cost includes parts preparation before assembly, picking, in-plant transportation and storage costs. A thorough comparative study enables then to characterise situations which make one mode less costly compared with the others. Each situation corresponds to specific values taken by parameters that are considered in the cost formulation.

Suggested Citation

  • Mustapha Sali & Evren Sahin & Alain Patchong, 2015. "An empirical assessment of the performances of three line feeding modes used in the automotive sector: line stocking vs. kitting vs. sequencing," International Journal of Production Research, Taylor & Francis Journals, vol. 53(5), pages 1439-1459, March.
  • Handle: RePEc:taf:tprsxx:v:53:y:2015:i:5:p:1439-1459
    DOI: 10.1080/00207543.2014.944630
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    Cited by:

    1. Mustapha Sali & Evren Sahin, 2016. "Line feeding optimization for Just in Time assembly lines: an application to the automotive industry," Post-Print hal-01265041, HAL.
    2. Schmid, Nico André & Limère, Veronique & Raa, Birger, 2021. "Mixed model assembly line feeding with discrete location assignments and variable station space," Omega, Elsevier, vol. 102(C).
    3. Lyu, Zhongyuan & Huang, George Q., 2023. "Cross-docking based factory logistics unitisation process: An approximate dynamic programming approach," European Journal of Operational Research, Elsevier, vol. 311(1), pages 112-124.
    4. Adenipekun, Ebenezer Olatunde & Limère, Veronique & Schmid, Nico André, 2022. "The impact of transportation optimisation on assembly line feeding," Omega, Elsevier, vol. 107(C).
    5. Sali, Mustapha & Sahin, Evren, 2016. "Line feeding optimization for Just in Time assembly lines: An application to the automotive industry," International Journal of Production Economics, Elsevier, vol. 174(C), pages 54-67.

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