SIGNATURE WORK
CONFERENCE & EXHIBITION 2022

This study is made up of a team-based research & practice project and a personal algorithm development project.
The team-based project is in collaboration with Startup Factory Kunshan, which is a business incubator for small and medium-sized European companies. The main task is to explore how to facilitate the transition of local small and medium-sized manufacturing enterprises in the ongoing industrial revolution and how to ensure the transition is environmentally friendly and beneficial to the local community.

We focus the direction on the application of the Digital Twin concept, which is to realize bidirectional data flow between the virtual world and the real world. We choose Siemens Plant Simulation as the software tool to build digital models simulating various production scenarios. Then with data generated from the digital model test, we come up with optimized strategies for the real production line. In another round, the new performance data created in the real world will be fed back to the virtual world. We apply this close data loop on a real production line as a case study.

We apply a digital tool in a small-scale production line scenario to figure out pain points and develop optimization strategies for implementation in the real production line.

The personal algorithm development project is targeted at the Automated Guided Vehicles (AGVs), which are vehicles widely applied in industrial scenarios, such as factories, large warehouses, and container terminals. The project outcome is the AGV route planning algorithm, which dynamically responds to input situation data. The algorithm is supposed to be an optimized transportation schedule that covers all tasks to complete within the least time and cost. The transportation schedule includes the sequence of tasks to finish for each AGV and the start-end point and route for each task.