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Predictive digital twin for 3PL activity

Mariusz Kmiecik

International Journal of Logistics Systems and Management2026https://doi.org/10.1504/ijlsm.2026.151733article
AJG 1
Weight
0.50

What the paper says

This article showcases a pilot implementation of the predictive digital twin (PDT) in 3PL warehouse management. Using 2D and 3D simulation models, the PDT was applied in an international 3PL company, following a procedure proposed for digital twins adoption. This PDT concept is built on logistic coordination and the role of digital twins in logistics operations. The solution's architecture was adapted from a DT approach, and insights were gained from the pilot study. Despite limitations, the international 3PL company demonstrated its capability to implement PDT in outsourced warehouse services. However, the study focused on selected contract logistics processes and an international perspective, potentially differing for smaller, local logistics operators. This research contributes significantly to management sciences, highlighting PDT's potential to revolutionise supply chain management, enhancing efficiency, process optimisation, and adaptability to market changes.

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https://doi.org/https://doi.org/10.1504/ijlsm.2026.151733

Or copy a formatted citation

@article{mariusz2026,
  title        = {{Predictive digital twin for 3PL activity}},
  author       = {Mariusz Kmiecik},
  journal      = {International Journal of Logistics Systems and Management},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1504/ijlsm.2026.151733},
}

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.