Logistics – Current projects for research and industry

AI4EU: Bundling artificial intelligence expertise and making it accessible for both large and small companies

Artificial intelligence is a groundbreaking technology of our time. The effects of artificial intelligence will have far-reaching consequences comparable to electricity or the invention of the printing press. Currently the resources for innovations are however dominated by giant technology enterprises in North America and China.

AMable: Closing knowledge gaps and providing companies with access to 3D printing

SMEs face obstacles to the introduction of additive manufacturing (AM) methods: There is a lack of qualified employees and access to know-how, equipment, infra-structure, and markets. The main objective of the AMable project is to overcome these barriers to implementation and enable the introduction of AM technologies by SMEs.

CCIT: Fraunhofer Cluster of Excellence Cognitive Internet Technologies

The Fraunhofer Cluster of Excellence Cognitive Internet Technologies CCIT re-searches cognitive technologies for the industrial Internet. Researchers in various disciplines are developing key technologies along the value chain, from sensors to intelligent learning methods in data processing to the cloud. CCIT helps companies with the forward-looking design of their business by opening up market access with cognitive solution services and products.

DataPorts: Data platform for networking seaports

Only three percent of container terminals are automated today. However, the chal-lenges and requirements in this sector can only be overcome and met through fur-ther digitization and process automation. Port operations need to be optimized, the supply chain of operators and carriers must be improved, and emissions and waste have to be reduced.

DB Schenker Enterprise Lab for Logistics and Digitization

Innovative logistics solutions and process innovations make a considerable contri-bution to the competitiveness of companies. The DB Schenker Enterprise Lab for Logistics and Digitization established in 2015 accelerates the digital transformation of processes in the concrete business environment of a logistics service provider.

Diagnosis Data Management at Thales

Industrial data storage and use is becoming more and more important in increasingly digitizing processes. For example, a company-specific approach to centralized and decentralized data management must be found and operational responsibilities must be clearly defined. A functioning data management system is of strategic importance for business processes such as customer service.

EURO-Chain: European Blockchain Institute in North Rhine-Westphalia

The digital transformation affects almost all areas of the country, whether societal, political, social or even legal. In the project to establish the European Blockchain Institute in North Rhine-Westphalia (NRW), formative forces from research and industry are being concentrated on the future-oriented blockchain technology in order to drive this change forward.

Fraunhofer Data Space: Research data transparency – comprehensive, functional, and secure

In the Fraunhofer-Gesellschaft’s decentralized organization, research data frequently exist in the individual information silos of the institutes. There is often no exchange of data between institutes because a requesting institute has no transparency about the existence of related data and a potential provider institute wants to protect its data.

IDS@BKM: Collaborative data use by customers and suppliers – secure, sovereign, and for the benefit of all

Supplier or sub-supplier bottlenecks can have massive technical and economic consequences for automobile manufacturers. However, suppliers hesitate to share information about foreseeable capacity bottlenecks with manufacturers, for exam-ple because they fear disadvantages in price negotiations.

Industrial data management at VW: Not just producing industrial data, but using them

Companies are continuously recording increasing volumes of master, movement, and process data, and using them in numerous business processes. As a result, the intelligent management of these data is increasingly becoming a key success factor in global competition. Obtaining gainful information and effectively improv-ing business processes can only succeed when data of high quality are collected and made available.

InDaSpacePlus: Industrial Data Spaces Plus

Companies are continuously recording increasing volumes of master, movement, and process data, and using them in numerous business processes. As a result, the intelligent management of these data is increasingly becoming a key success factor in global competition. Obtaining gainful information and effectively improv-ing business processes can only succeed when data of high quality are collected and made available.

High Performance Center Logistics and IT: Innovation ecosystem at the Dortmund scientific site

Scientific institutions based in Dortmund that – on their own – are already shaping and driving logistics research today are working together under the umbrella of the High Performance Center Logistics and IT. In the High Performance Center, they are now establishing a national infrastructure and innovation ecosystem in cooperation with industry, not only together but also synergetically – from fundamental research to applied research.

Legal Testbed: Supporting legal certainty for autonomous contract negotiations in industry 4.0

Next to digitization and individualization, automation is the third key pillar of indus-try 4.0. Increased networking in production and logistics is simplifying many pro-cesses. Ultimately they can even be carried out autonomously by special software components (agents). The Legal Testbed provides a simulation environment to support the development of agents by SMEs with a focus on reviewing legal cer-tainty and IT security.

Service-Meister: AI-based service ecosystem for technical service in industry 4.0

Germany’s industry is undergoing a fundamental shift from products to services in value creation. However, the required service knowledge for industrial facilities ex-ceeds the knowledge of individual service technicians and in part even of compa-nies. Along with the shortage of skilled workers, German SMEs face a tremendous challenge in the coming years to maintain a leading position in the provision of services.

Trusted Secure Data Sharing Space: Building trust in data markets

The market for data flourished in past years. But the market has been shaken by a considerable loss of trust in platforms that were considered secure and data pro-tection friendly. This loss of trust has hit the data economy hard since its open data resources have been restricted. Unless technical standards are amended, this de-cline is expected to continue.

XAPS: Artificial intelligence for automated production systems

Notwithstanding the monitoring of individual production steps, modern production systems encompass complex dependencies between materials, operating equip-ment, and processing steps that do not meet the required level of quality, even with supposedly correct processing. This results in costly rework or even rejects.