Title: Predictive digital twin for 3PL activity

Authors: Mariusz Kmiecik

Addresses: Department of Logistics, Organization and Management Institute, Silesian University of Technology, Roosevelta 26, 41-800 Zabrze, Poland

Abstract: 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.

Keywords: digital twin; predictive digital twin; PDT; logistics coordination; third-party logistics; 3PL; warehousing.

DOI: 10.1504/IJLSM.2026.151733

International Journal of Logistics Systems and Management, 2026 Vol.53 No.2, pp.163 - 190

Received: 05 Aug 2023
Accepted: 12 Aug 2023
Published online: 18 Feb 2026 *

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