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Milk-run routing problem with progress-lane in the collection of automobile parts

Author

Listed:
  • Zhaofang Mao

    (Tianjin University)

  • Dian Huang

    (Tianjin University)

  • Kan Fang

    (Tianjin University)

  • Chengbo Wang

    (Oxford Brookes University)

  • Dandan Lu

    (Tianjin University)

Abstract

In recent years, the automotive industry has faced an unprecedented crisis. In particular, the zero-inventory approach, which has been widely pursued by many automobile companies, seems to be impractical in some real production contexts since it requires an inventory of all parts but in low amounts. In this paper, we investigate a new logistics method which collects automobile parts by integrating the progress-lane (P-LANE) into the corresponding vehicle routing problem. We propose a mixed integer programming formulation for this new model, which can simultaneously determines the trip routes to collect automobile parts, as well as the P-LANE that each collected part should be assigned to, so as to minimize the total costs of the production and inbound logistics. The comparison with the zero-inventory model shows that the use of the P-LANE within the milk-run system could significantly decrease the total costs and also improve the transportation efficiency. To be specific, for small and large size instances, the total costs of the zero-inventory model are about 10% and 30% higher than the ones with P-LANE, respectively, which suggests that the periodic part collection model with P-LANE could be more appropriate for automobile manufacturing.

Suggested Citation

  • Zhaofang Mao & Dian Huang & Kan Fang & Chengbo Wang & Dandan Lu, 2020. "Milk-run routing problem with progress-lane in the collection of automobile parts," Annals of Operations Research, Springer, vol. 291(1), pages 657-684, August.
  • Handle: RePEc:spr:annopr:v:291:y:2020:i:1:d:10.1007_s10479-019-03218-x
    DOI: 10.1007/s10479-019-03218-x
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    References listed on IDEAS

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    2. Lijun Liu & Zhixin Long & Chuangchuang Kou & Haozeng Guo & Xinyu Li, 2023. "Evaluation of the Environmental Cost of Integrated Inbound Logistics: A Case Study of a Gigafactory of a Chinese Logistics Firm," Sustainability, MDPI, vol. 15(15), pages 1-20, July.
    3. Mohammed Alnahhal & Mosab I. Tabash & Diane Ahrens, 2021. "Optimal selection of third-party logistics providers using integer programming: a case study of a furniture company storage and distribution," Annals of Operations Research, Springer, vol. 302(1), pages 1-22, July.
    4. João L. V. Manguino & Débora P. Ronconi, 2022. "Step cost functions in a fleet size and mix vehicle routing problem with time windows," Annals of Operations Research, Springer, vol. 316(2), pages 1013-1038, September.
    5. Fatemeh Faghih-Mohammadi & Mohammad Mahdi Nasiri & Dinçer Konur, 2023. "Cross-dock facility for disaster relief operations," Annals of Operations Research, Springer, vol. 322(1), pages 497-538, March.

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