Process logistics
In addition to the increasing customer demand for individualized products, a large number of dynamic factors affect production and its supply logistics as a service provider in the environment. This results in complex requirements such as the ability to change, performance, dynamics and a resilient and robust supply chain.
Our research goals
The central goal is to optimise the supply chain from suppliers to in-house production supply to the customer through intelligently controlled and transparent processes. This goal is to be achieved through application-oriented research in the areas of:
- process optimisation
- digitalisation and networks
- cooperation between different transport systems
- adaptability
Reference projects
Ongoing
- K3I-Cycling – AI-supported optimization of the cycle management of plastic packaging
- TUM4HealthTech
- BioH2Log – Biogenic Hydrogen Production with Innovative Distribution Logistics
- Self-controlling inbound supply chain
- Transformable logistics concepts
- Development of an AI-based outsourcing software for the automated generation of outsourcing strategies and dynamic strategy adjustment during unforeseen changes in order processing
- InOrt – Inductive Positioning of RFID Transponders in Logistics Applications
- FAIRPLAN – Fairness-optimized AI-supported resource planning in hospitals
Completed
- InterLog – Integrated logistics concepts for sustainable and flexible urban logistics networks
- Identification of standard solutions in storage system planning
- Consistent Development of Material Flow Systems using a Model-based approach
- PlaKAT
- SeSoGEN – Development of a self-learning software for the generation of intelligent storage strategies based on neural networks
- AGenDa - Automated Generation of Digital Data from Existing Intralogistics Systems for Low-Expense Model Generation