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Optimisation of one-stop delivery scheduling in online shopping based on the physical Internet

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  • Jianming Yao

Abstract

The circulation of online shopping commodities generally involves many entities, such as online manufacturers, wholesalers, retailers and customers. Goods from manufacturers to consumers undergo several exchange stages involving different economic entities. The logistics cost increases in certain supply chain nodes and the risk of backlog or running out of stock is high because of the different income and risk expectations of entities, as well as the varying degrees of information sharing between them. Clearly, a one-stop delivery mode crossing numerous transaction links in online shopping can effectively solve these problems and save social resources. However, realising this one-stop mode requires a series of specific premises, appropriate software and hardware technology support. This study introduces the Physical Internet into the one-stop delivery mode as an important logical and technical support, analyses the operating mechanism of the Physical Internet and discusses the operating conditions of one-stop delivery. It analyses the optimisation contents and objectives of one-stop delivery scheduling to construct a multi-objective optimisation mathematical model and propose a solving algorithm. Finally, this study uses an application case to verify the feasibility and effectiveness of the optimisation mechanism and algorithm.

Suggested Citation

  • Jianming Yao, 2017. "Optimisation of one-stop delivery scheduling in online shopping based on the physical Internet," International Journal of Production Research, Taylor & Francis Journals, vol. 55(2), pages 358-376, January.
    • Handle: RePEc:taf:tprsxx:v:55:y:2017:i:2:p:358-376
    DOI: 10.1080/00207543.2016.1176266
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    References listed on IDEAS

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    Cited by:

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    2. Abirami Raja Santhi & Padmakumar Muthuswamy, 2022. "Pandemic, War, Natural Calamities, and Sustainability: Industry 4.0 Technologies to Overcome Traditional and Contemporary Supply Chain Challenges," Logistics, MDPI, vol. 6(4), pages 1-32, November.

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