Curriculum Vitae

Dr. rer. pol. Daniel Metz

Education

Civilian Service

Study

University of Siegen, Study of Business & Information Systems Engineering (Wirtschaftsinformatik)
(Focus: Data Mining, Data Warehouse, Network Flows)

Intermediate Diploma

Diploma thesis in cooperation with Linde + Wiemann GmbH KG, Dillenburg, Germany: Verfahren der Ähnlichkeitsanalyse von Produktdaten zur Unterstützung wissensintensiver Geschäftsprozesse im Produktlebenszyklus

15.08.2006

Diploma (Diplom-Wirtschaftsinformatiker)

Research Experience

Research Assistant at the Institute of Business & Information Systems Engineering (Wirtschaftsinformatik), University of Siegen, under Prof. Dr.-Ing. Manfred Grauer

Business Experiments in GRID (BEinGRID)

The BEinGRID, Business Experiments in GRID, project was the European Union’s (EU) largest integrated research project funded by the Information Society Technologies (IST) research, part of the EU’s sixth research Framework Programme (FP6) (http://www.beingrid.eu/). In 25 business experiments, research was carried out by 95 partners (from industry and research) concerning the implementation and adoption of Grid technologies in various industrial application domains (e.g., financial industry, automotive industry).

In the business experiment 08 - Integration of Engineering and Business Processes in Metal Forming - a service-oriented Grid infrastructure for virtual prototyping services was developed. This infrastructure offers small and medium-sized enterprises (SMEs) a reliable, consistent, convenient, and cost-effective access to time-consuming and complex virtual prototyping methods in sheet metal forming. In addition, relevant value creation processes in the context of virtual prototyping in the German automotive supplier industry have been analyzed. Further, adequate business models for these value creation processes have been developed.

Kinematics Simulation and Collision Analysis of Tri-Axis Transfer Systems and Presses in Sheet Metal Forming

In cooperation with the Co.Com Concurrent Computing GmbH, Siegen, and medium-sized automotive suppliers an efficient methodology has been developed to perform collision analysis of tri-axis transfer systems and presses in sheet metal forming. Usually, the design of sheet metal tools in the German automotive supplier industry is a time-consuming and complex engineering process. Because of design faults and/or an unsuitable configuration of peripheral manufacturing equipment, collisions between the manufacturing equipment and the designed multi-staged transfer tool can occur. Consequently, expensive re-design followed by re-working of the existing transfer tool have to be done.

Existing methods during design of transfer tools, which are employed to prevent collisions are manual, time-consuming, and are incapable of detecting all collisions reliably. Hence, a kinematics reference model along with software has been developed to automatically detect collisions between a tri-axis transfer system and a designed transfer tool. As a result, the quality of the designed transfer tool is increased and the configuration of the manufacturing equipment can be optimized (e.g., throughput).

AutoEDA – Transparency and Control of Manufacturing Processes in Real-Time

Nowadays, business decisions and entrepreneurial leadership tend to be dynamic, volatile and complex. Therefore, a continuous monitoring of enterprise processes, event-driven analysis of (relevant) information flows and deduction of adequate decisions for enterprise management requires technologies, like complex event processing (CEP). In contrast to business decisions, which are commonly analyzing enterprise processes offline (i.e., retrospective), CEP enables (re-) actions to critical process states in (near) real-time.

The idea of the realization of closed-loop controls among different enterprise levels using informational feedback was the focus of the development and research project AutoEDA, which has been conducted in cooperation with Ohm & Häner Metallwerk GmbH & Co. KG, Olpe, Germany. The IT-framework AutoEDA is based on principles of an event-driven architecture (EDA) and CEP. AutoEDA seamlessly integrates enterprise resource planning (ERP) systems (or other planning systems) located at the enterprise control level with automation devices (e.g., machines) at the manufacturing level. Hence, it considerably contributes to overcome the vertical, semantic and temporal integration gaps.

Enormous amounts of process data have been generated during execution of manufacturing processes. Relevant process data (e.g., hydraulic pressure, temperature) is monitored and protocolled with its corresponding transactional data from the enterprise control level. This acquired process data is processed in (near) real-time and visualized using comprehensive and convenient graphical user interfaces. Consequently, the traceability of (complex) manufacturing processes is enhanced, and hence, quality of products, amount of defective products and production throughput are considerably improved.

The IT-framework AutoEDA has been applied and evaluated in the context of manufacturing of premium aluminum sand castings. The first release of AutoEDA, which encompasses an entire set of functionalities, was available at the end of the three year project in spring 2012.

MOLD-CONTROL - Knowledge-Based Control of Molding Processes in Found¬ries by Real-Time Analysis of Product and Process Data

Molding technology is an important step in sand casting technology as it considerably influences the downstream processes, especially in terms of productivity, quality, maintenance and other aspects. The main components of the molding technology are the molding machine, molding sand, pattern plates and the molding process itself. The pattern plates are highly constrained by the required component specifications with little or no flexibility to be modified during production. In contrast, the remaining components (i.e., influencing factors) can be monitored and controlled during production to achieve the required performance of the foundry process. In many cases, these influencing factors are modified individually to enhance the performance of the molding process. However, a comprehensive control approach is crucial to incorporate the (complex) correlations among the molding machine, molding sand and molding process. Hence, an event-driven framework for a knowledge-based control of the molding process in foundries by real-time analysis of product and process data has been developed in the research project MOLD-CONTROL. This project was funded by the German Federal Ministry of Economics and Technology (BMWi) as part of the Central Innovation Programme SME (ZIM). The consortium of the multidisciplinary project is formed by researchers and experts from mechanical engineering, informatics, equipment manufacturers, and foundry production.

Doctorate

20.12.2012

Ph.D. thesis: The Concept of a Real-Time Enterprise in Manufacturing: Design and Implementation of a Framework based on Event-Driven Architecture and Complex Event Processing

10.06.2013

Ph.D. thesis defense

Industry Experience

Teamlead Research & Development, FORCAM GmbH, Ravensburg

- Machine data connection (MDC)

- Distributed numerical control (DNC)

- Traceability in Manufacturing