Leonardo Advanced Logistics 4.0: innovation and the digital transformation

10 September 2021

Leonardo Logistics, in partnership with Leonardo’s CTIO, promoted the “Advanced Logistics 4.0” programme for digital transformation and innovation in logistics services through design and development of advanced platforms and technologies and re-engineering of processes and know-how.

This forward-looking approach explores technology, researching and offering innovative, effective solutions responding to customers’ needs.

 

Leonardo Logistics works with Leonardo Labs to support the process of innovation in the areas it works in, promoting adoption of advanced digital technologies consistent with its principal areas of research:

  • development of Unmanned Technologies and Robotics (Smart Sensors, RFID, Automated Guided Vehicles, IoT, Collaborative Robots) with Artificial Intelligence

     

  • development of Digital Twins, Big Data and Quantum Computing using advanced simulation scenarios

     

  • adoption of Leonardo’s advanced solutions for High Performance Computing / Cloud Computing

     

 

The Advanced Logistics 4.0 programme includes development of Warehouse and Transportation Management Systems specialising in advanced management of the logistical processes constituting the base for integration of innovative technologies, with the goal of offering “turnkey” solutions supporting logistics services.
The benefits of an integrated approach of this type extend throughout the value chain of logistics inside and outside the warehouse, specifically helping to improve:

  • The efficiency of the end-to-end process, through reduction or elimination of steps of low value, planning and optimisation of employees’ tasks and workloads, and automation and digitalisation of tasks and states of progress.

     

  • The visibility of the logistics network, through integrated, computerised management of all relevant information, available in real time consistently with the goals of structured monitoring of performance and analysis of improvement

     

  • Accuracy of critical processes, such as inventory-taking, using advanced data traceability functions enabling prompt management and archiving of information and real-time alignment of corrections

     

  • The sustainability of the operating model, through digitalisation of the “warehouse system” on the basis of lean, paperless processes, automation technologies, infrastructures and energy-saving, ecological vehicles, with integrated management of packaging (from packaging design to choice of sustainable materials and computerised operations based on a logic of maximising efficacy and reuse)

     

  • Operating costs, with the ability to calculate and simulate different operating scenarios and identify the best solutions offering the required level of service