Digital twins: A way to improve efficiency in logistics?
Digital twinning, the mapping of a physical asset to a digital platform, may lead to big gains for the logistics sector says a new DHL report
The technology, which involves using digital models to better understand and manage physical assets is already well established in some industries and has the potential to significantly change logistics operations, says DHL’s “Digital Twins in Logistics” report.
A digital twin is a unique, virtual representation of a physical thing that monitors and simulates both the physical state and behavior of the thing. The digital copy is continually connected to the physical object(s) and updates itself to reflect real-world changes. Applied to products, machines and even entire business ecosystems, digital twins can reveal insights from the past, optimize the present and even predict future performance.
“The market for digital twins is expected to grow more than 38 percent each year, passing the $26 billion mark by 2025,” explains Matthias Heutger, Senior Vice President, Global Head of Innovation & Commercial Development at DHL. “Digital twins offer unparalleled capabilities to track, monitor, and diagnose assets. They will change traditional supply chains, with a range of options to facilitate data-driven decision making and collaboration, streamlined business processes, and new business models. We are keen to work with our customers and partners to jointly explore applications in our industry.”
Logistics applications of digital twins
In logistics digital twins could be used in a variety of applications along the entire value chain, including the management of container fleets, monitoring of shipments or the design of logistics systems.
IoT sensors on individual containers for example, show their location and monitor for damage or contamination. This data flows into a digital twin of the container network, which uses machine learning to ensure that containers are being deployed as efficiently as possible.
Digital twins can be applied not only for individual assets but entire networks and ecosystems such as warehouses, combining a 3D model of a facility with inventory and operational data. The system would be able to provide an overview of the state of machines and product availability and could make predictions and autonomous decisions about stock or deliveries. The same principle applies to major logistics hubs or global logistics networks.
Markus Kückelhaus, Vice President, Innovation and Trend Research, DHL Customer Solutions & Innovation, adds: “Powered by IoT, cloud computing, artificial intelligence and advanced visualization tools, digital twins are becoming a more attractive and accessible option for companies. However, bringing these and other relevant technologies together into a full digital twin implementation is a complex and challenging task. Close collaboration between all partners
along the value chain is therefore essential to fully capture the potential.”
In the Trend Report, DHL examines the challenges to implementation, such as cyber security concerns, but stresses that business cases for implementing digital things are becoming more compelling. As related technologies get to be more dependable and affordable, businesses in a number of industries will find digital twins invaluable in managing complex systems of assets in real time and increasing efficiency in their processes. The report concludes by considering the investments and changes necessary for the successful implementation of digital twins in logistics.
The Trend Report: “Digital Twins in Logistics - A DHL perspective on the impact of digital twins on logistics” is available for free download at http://logistics.dhl/digitaltwins