Shaping the Future of Logistics with Digital Twins: Examples of Use and Notable Projects

Testing business ideas and mechanisms may be costly. Companies need expensive equipment and enormous capacities to carry out the entire process efficiently. The more ambitious a project is, the more errors may emerge when working on it. Therefore, it’s vitally important to choose an efficient strategy for this purpose.

IT experts have already come up with a remarkable solution to this problem and developed the technology of digital twins. Let’s find out what it brings to the logistics industry today.

Revolutionizing the way businesses operate

Digital twins, the virtual replicas born from the convergence of data, analytics, and simulation, unlock a world of possibilities across industries. From manufacturing to healthcare, smart cities to transportation, these digital copies mirror the behavior and characteristics of their physical counterparts with uncanny precision.

Through the collection of real-world data from sensors, devices, and other sources, these digital entities are brought to life. They serve as powerful tools for monitoring, analysis, optimization, and prediction. They allow for the simulation of scenarios, conducting what-if analyses, and testing strategies or interventions in a virtual environment, mitigating risks and costs before real-world implementation. With their versatility and potential for innovation, digital twins are transforming the way businesses approach testing and decision-making, paving the way for more efficient and effective outcomes.

This revolutionary technology empowers organizations to harness insights, make data-driven decisions, optimize operations, boost performance, and elevate customer experiences. Its versatility extends across diverse domains. It helps to prevent downtime by leveraging sensor data for maintenance predictions, makes it possible to optimize energy consumption in buildings, simulates traffic patterns in smart cities, optimizes manufacturing processes, and monitors patient health in healthcare, among numerous other use cases.

Digital twin logistics is also a multifaceted area. Let’s see how things work here.

Embracing innovation: the rise of digital twin logistics

Building a comprehensive twin is a challenging undertaking. The cost considerations associated with logistics activities have hindered widespread adoption in the past. Nevertheless, the significance of exploring potential use cases for digital twins in the industry is more and more obvious. As digital twin technology gets cheaper and trust in its abilities increases, it may become even more business-attractive very soon.

Verifying the capacities of packaging and containers

Packaging and containers play a vital role as they help protect products during transportation, yet this brings about difficulties in terms of design, tracking, and supervision. The increased demand from eCommerce, seasonal changes, and varying packaging has created waste and lowered operational efficiency from inadequate volume utilization.

To address these issues, companies are exploring the use of new materials such as compostable plastics and recycled content. Computer-generated representations of materials could help to create tougher, lighter, and more eco-friendly packing materials by virtually replicating their behavior when exposed to varying conditions like temperature, shaking, and impact.

Moreover, digital twins could be practical in efficiently handling reusable containers, which are ordinary in a variety of activities like ocean containers, aircraft ULDs, and crates for automotive and food/beverage delivery. Emerging 3D photographic technologies can rapidly create detailed container models, enabling automated identification of potential issues such as dents and cracks.

Checking the efficiency of shipments

A cutting-edge approach to digital twin implementation involves integrating the contents of packages or containers into their digital counterparts. This can be accomplished by leveraging existing digital twins to get data on the physical parameters of an item, or by utilizing 3D scanning and computer vision technologies during shipment preparation to generate the item data.

Traditionally, monitoring of sensitive and high-value products, such as medicines and electronic components, during shipment has relied on sensors that track temperature, package orientation, shock, and vibration. However, with the advent of cutting-edge sensors, a shipment digital twin could serve as a central repository for the data collected. By leveraging this data with cutting-edge technology, companies can implement innovative applications and get valuable insights.

Rethinking warehouses and distribution centers

Want to control warehouse management or branch inventory? The digital twin logistics infrastructure includes warehouses, distribution centers, and cross-dock facilities. By integrating 3D models with real-time IoT data collected from connected platforms, along with inventory and operational data, innovative digital twin software can optimize space utilization, simulate the movement of products and equipment, and continuously update with data from automation technologies.

These comprehensive products can also enhance the efficiency of warehouse personnel through VR training tools and AR picking systems, as implemented by DHL. Looking ahead, these pioneering solutions have the visionary potential to encompass entire supply chain networks, incorporating diverse elements such as airports, containers, vessels, trains, warehouses, and delivery vehicles, paving the way for advanced optimization and decision-making in the entire industry.

Reimagining the entire infrastructure

The successful coordination of various elements such as ships, trucks, aircraft, order and information systems, and most importantly, people, is crucial for optimizing operations. This complexity is exemplified by major global logistics hubs, including cargo airports and container ports, which involve multiple stakeholders. However, these facilities often encounter challenges due to imperfect information exchange systems that rely on offline processes, leading to errors and delays. To overcome these obstacles, innovative projects leveraging digital twin technologies are being deployed.

Testing the performance of global networks

The ultimate goal here is to model entire networks, encompassing logistics assets, oceans, railway lines, and so on. However, the success of such initiatives depends on the willingness and technical ability of all stakeholders to maintain and share real-time data of their own assets and personnel within a ‘living’ digital twin of a port or airport. Advancements in satellite and aerial photography, as well as on-the-ground digital mapping efforts, are driving the rapid progress of geographic information system (GIS) technology and make such state-of-the-art twins possible.

Digital twin software: interesting projects and examples

Automatic warehouse studio by Mecalux

One digital twin example is the pioneering Automatic Warehouse Studio (AWS) by the Mecalux Group. This software was built for efficient automated projects, offering a unique 3D reproduction of the warehouse. It allows for thorough validation and testing of automatic equipment prior to installation, reducing implementation time for AS/RS. Its SCADA tool enables real-time data collection from machinery management software, empowering managers to proactively address issues.

Pioneering DHL software

Another digital twin project belongs to DHL. This prominent global company has successfully implemented a noteworthy solution for their warehouse operations in Asia-Pacific. This innovative product incorporates key elements of sensor technology, including reduced congestion and improved resource planning through real-time data on workload allocation. Live site access monitoring ensures enhanced security, while real-time monitoring of environmental temperature systems optimizes inventory management.

Twinning the entire Maersk ecosystem

One more digital twin example is related to Maersk. The world-famous shipping company aims to create a twin of its entire ecosystem. Maersk is implementing this technology to build simulations for predicting operational outcomes. Challenges include scalability, interoperability, utilizing IoT data, and moving towards prescriptive actions with real-time ETAs driven by AI and machine learning. Such an ambitious digital twin project can serve as a paragon for other businesses willing to implement such solutions.

Conclusion

Digital twin technology holds immense power for changing numerous operations. It offers a comprehensive and dynamic representation of entities and networks. With advancements in GIS technology and the advent of autonomous vehicles, the availability of detailed geographical data and real-time updates have become increasingly feasible. Companies can leverage them to optimize their operations, from planning delivery routes to predicting arrival times, and beyond.

The future of this striking technology is bright, and continued research and innovation in this field will be vital in unlocking its full potential. If you want to order innovative digital twin software, contact experts who possess the relevant industry knowledge. Experienced specialists will implement a project of any complexity.