| Research project: | "VerdiKa" Connected Digital Cabin |  |
| Research area: | Production Systems, MBSE | |
| Supported by: | Federal Ministry of Economics and Climate Action (LuFo VI-1) | |
| In collaboration with: | Airbus, DLR, Diehl Aviation, TUHH Institute for Aircraft Cabin Systems, TUHH Institute of Product Development and Mechanical Engineering Design, ZAL, Safran | |
| Start of the project: | June 2020 | |
| End of project: | November 2023 |
Description:
Against the background of ever shorter product development cycles, increasing market variations and faster production ramp-ups, the VerdiKa joint project is intended to significantly advance the networking and digitalization of the aircraft cabin from design through production and installation to use. The aim of a digital end-to-end customization process is to enable a reduction in customer-specific “head of version” costs with the help of consistent automated processes and tools for development, production and installation. The basis for this is a common model-driven approach leveraging Model-Based Systems Engineering (MBSE).
While project partners, such as the Institute of Product Development and Mechanical engineering Design (PKT), are developing a modularized product family, which in the form of a digital offer catalog serves the customer as a selection basis for creating the Head of Version (HoV), the IFPT optimizes the following process chain from the customer-selected product configuration to assembly. This so-called industrial customization process includes, among other things, work and resource planning as well as time management and thus creates assembly sequences, assembly instructions and robot programs for the final assembly. Industrial engineering uses the product data to simulate the assemblability, the time required and the costs of the assembly tasks, taking into account the resources, their availability and capabilities. Since product development and the industrial customization process have so far been carried out sequentially and predominantly manually, the potential for optimization through parameterization of product data and (partial) automation of assembly planning is high. If the time, costs and assemblybility of the selected product configuration are determined early in the development process, customers and engineers can make better decisions more quickly. Development time and costs are reduced and quality increased.
Contact person at the institute: M.Sc. Jan-Erik Rath