Julian Reichwald

Hochschule Mannheim · Faculty for Engineering and Management

In data-intensive research, reliable management of research data is a major challenge. In the field of Mass Spectrometry Imaging, vast amounts of data are being acquired from mostly proprietary data sources. Consequently, hindering seamless data integration into Research Data Management systems. Without a data repository, the continuous generation...

In order to align future forms of production with flexibility, interoperability, and adaptability, the essential steps toward horizontal and vertical integration are indispensable. This paper discusses a conventional and conceptual approach to OPC UA communication and intelligent orchestration of skill-based control logic. The conceptual approach s...

Due to the growing environmental and geopolitical challenges nowadays, which are causing supply chain complications, industry and society are facing significant new objections. As a complement and extension to the technology-driven premises of Industry 4.0, the value-driven Industry 5.0 focuses on society and the environment. Human centricity, sust...

One of the main topics within research activities is the management of research data. Large amounts of data acquired by heterogeneous scientific devices, sensor systems, measuring equipment, and experimental setups have to be processed and ideally be managed by Findable, Accessible, Interoperable, and Reusable (FAIR) data management approaches in o...

In order to empower future production to be ready for Industry 5.0, it needs to be geared towards customer-oriented mass customisation. Yet the necessary connection between production process and product within the control software is not adequately addressed. In the engineering process, especially while control logic design, the digital twins of p...

Digital twins of product and production processes are being used more and more frequently. The reason for this are the benefits for all departments involved. Therefore, it is not only important to share an IT platform as a 3D collaboration environment with uniform data structures, so all employees can work with the same database. As well it is impo...

Digital Twins are a key concept and an enabling technology within the digital transformation. They can communicate bilaterally with their physical counterpart. Thus the twins are reflecting each other's properties and state changes. Digital Twins add value to many use case domains, e. g., smart manufacturing. Nevertheless, today's implementations a...

Distributed Market Spaces (DMS), refer to an exchange environment in emerging Internet of Everything, that supports users in making transactions of complex products; a novel type of products made up of different products and/or services that can be customized to better fit the individual context of the user. In order to express their demand for a p...

Smart devices and cyber-physical systems, which are interconnected to IT systems and services, form the basis for the arising Internet of Everything, opening up new economic opportunities for its participants and users beyond its technological aspects and challenges. While today’s e-business scenarios are mostly dominated by a few centralized onlin...

Das Internet der Dinge wird in naher Zukunft unser Leben und unsere Gesellschaft nachhaltig verändern und prägen. Sensor- und Aktuatornetzwerke verknüpfen die reale mit der virtuellen Welt und ermöglichen neuartige Möglichkeiten wie z.B. die Realisierung von Industrie 4.0, Smart Grids oder Smart Cities. Dabei treffen diese Systeme vermehrt autonome...

According to the declaration of the Organisation for Economic Co-operation and Development (OECD) on Open Access: "OECD Principles and Guidelines for Access to Research Data from Public Funding" research data should be available for everyone and Europe follows these directions (Digital Agenda, N. Kroes). Data being 'open' does not mean directly app...

Increasing the complexity of products and processes in engineering domains, accompanied by time as well as cost pressures, lead to complex decision processes comprising human expert's interaction and excessive use of sophisticated tools from computational engineering. Grid technology offers both basic concepts and tools to automate decision process...

Globalization has resulted in a dynamic environment which is a combination of uncertainties and unpredictable behaviour of customers, enterprise partners and market conditions. As a consequence, manufacturing enterprises tend to improve the monitoring and control of enterprise value creation processes to achieve flexibility and adaptability. Enterp...

Numerical simulations in engineering domains are a commonly used technique for analyzing and optimizing products and production processes while increasing the process reliability and shortening the time to market and minimizing costs. In the engineering domain of metal casting, macroscopic simulations (e.g. mold-filling or solidification simulation...

Grid computing infrastructures and service-oriented architectures commonly rely on web services as their implementation technology. This technology allows complex workflows to be designed and executed by workflow engines in either Grid or standard web service environments. Nevertheless, the integration of human intervention in Grid workflows is sti...

Virtual prototyping in manufacturing gains more and more importance, since companies com- peting in industry noticed the increasing cost pressure alongside higher quality requirements. The utilization of virtual prototyping techniques provides a possibility to reduce the total devel- opment costs and the time to market, while simultaneously innovat...

The software development process for many real-world ap- plications requires many experts from dierent domains to cooperate. This is especially true for applications which are to be deployed in a distributed and heterogeneous environment such as the service-oriented Grid. In this paper, we present a collaborative synchronized Grid process creation...