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Freight delivery in a Physical Internet Supply Chain: an applied optimisation model with peddling and shipment consolidation

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  • Simranjeet S. Chadha
  • M. Ali Ülkü
  • Uday Venkatadri

Abstract

The delivery of goods (freight) accounts for the major cost and emissions in logistics systems worldwide. The effective management of the supply chain requires logistical efficiency and sustainability. Several logistics performance measurements such as distances driven and fuel efficiency are also indicators of sustainability. As an emerging paradigm, the Physical Internet (PI) addresses logistical, societal, and sustainability goals. However, the question remains whether some aspects of logistical efficiency in traditional logistics could be incorporated into the PI paradigm. To this effect, we examine how peddling, a consolidation strategy in traditional logistics, can enhance PI supply chain. Specifically, we formulate optimisation models and study the case of a Mexican automotive supply chain from both the PI and traditional logistics perspectives by comparing three different configurations; namely, Model P built on PI, Model S based on conventional standard peddling, and Model H, a hybrid. The hybrid Model H is optimised in a two-phase solution framework. We show via the case of a Mexican automotive supply chain that Model H outperforms others on average distance travelled and truck utilisation. Thereby, it is concluded that appropriate peddling and shipment consolidation policies may enhance PI supply chain logistics performance.

Suggested Citation

  • Simranjeet S. Chadha & M. Ali Ülkü & Uday Venkatadri, 2022. "Freight delivery in a Physical Internet Supply Chain: an applied optimisation model with peddling and shipment consolidation," International Journal of Production Research, Taylor & Francis Journals, vol. 60(16), pages 4995-5011, August.
  • Handle: RePEc:taf:tprsxx:v:60:y:2022:i:16:p:4995-5011
    DOI: 10.1080/00207543.2021.1946613
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    Cited by:

    1. Peng, Xiaoshuai & Zhang, Lele & Thompson, Russell G. & Wang, Kangzhou, 2023. "A three-phase heuristic for last-mile delivery with spatial-temporal consolidation and delivery options," International Journal of Production Economics, Elsevier, vol. 266(C).

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