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Dive into the research topics where Tobias Teich is active.

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Featured researches published by Tobias Teich.


ubiquitous computing | 2014

Modular System Development for Flexible Adoption of Ubiquitous Challenges in Energy Management and Control

Daniel Kretz; Tim Neumann; Marek Kretzschmar; Sebastian Junghans; Tobias Teich

Networking and interconnections are key aspects of energy saving ambitions by application of an intelligent and efficient control of technical facilities, automation and building control systems. Industrial companies and enterprises, municipal housing as well as real estate companies but also private persons at home are facing the challenges to reveal potentials for optimization and furthermore massively reduce their energy costs by utilization of innovative technologies in long-term. Therefore, an enormous variety of available technologies, devices, bus systems, and communication protocols is building the base on the one hand but also forms a heterogeneous landscape of ubiquitously available information sources and sinks on the other hand. Consequently, there are special challenges for the development of a flexible software solution for energy management and control. This paper provides a brief insight into our current work and the development of reusable and flexible software components.


ieee international conference on communication software and networks | 2011

Generation of process variants in automated production planning by using Ant Colony Optimization

Christiane Soika; Tobias Teich; Jörg Militzer; Daniel Kretz

Small and medium sized Enterprises (SME) are often in dependence to large-scale enterprises in their role as supplier. Rising international competition increases that pressure to SMEs. Hence, it is enormously important for such enterprises to be able to react fast to customer demands but also to keep high quality standards. Therefore CAPP (Computer Aided Production Planning)-systems were introduced. The paper shows a solution of an automated, integrated solution for automated and integrated process and production planning and defines the part of the generation of process variants.


ieee international conference on communication software and networks | 2011

Developing an integrated solution for generative process planning based on ISO standard 10303

Daniel Kretz; Joerg Militzer; Tim Neumann; Tobias Teich

Heterogenic systems and incompatible product data representation are still preventing an efficient and automated product development. This paper provides an insight about necessary requirements for a continuously integrated product development and automated process planning. Additionally, we present our intended solution to innovate the product design under the focus of automated process planning. Therefore, we present some aspects relating to feature based design and standardized product data exchange with ISO 10303, as well as our approaches for developing an integrated solution for process planning.


IFAC Proceedings Volumes | 2011

Evaluation of process variants during the proposal preparation

Tim Neumann; Daniel Kretz; Christiane Soika; Tobias Teich

Abstract There are many important factors for small and medium sized enterprises (SME), especially individual customer demands, price pressure and the probability to deliver at the required date. Companies which want to be supplier for larger companies have to look carefully about these factors already during the proposal preparation. They are often in the branch of single-part or small-series production. One possibility to increase known factors is to consider different variants of manufacturing a product and the premature investigation of resources and there capacities. Therefore, this paper is introducing a conceptional framework for the evaluation of different process variants to manufacture a product. We want to optimise and evaluate process variants including the necessary resources and their capacitive use in an evaluated period. For this evaluation we use a genetic algorithm. Within this paper we define and classify a scheduling problem to map our requirements. Afterwards we explain the necessary information about a genetic algorithm that suites us for the solution of our problem.


Robotics and Computer-integrated Manufacturing | 2004

Optimizing the selection of partners in production networks

Marco Fischer; Hendrik Jähn; Tobias Teich


Procedia Engineering | 2014

Design of a Prototype Neural Network for Smart Homes and Energy Efficiency

Tobias Teich; Falko Roessler; Daniel Kretz; Susan Franke


Robotics and Computer-integrated Manufacturing | 2011

Implementing ISO standard 10303 application protocol 224 for automated process planning

Daniel Kretz; Tobias Teich; Joerg Militzer; Tim Neumann


Procedia Engineering | 2014

Concept for a Service-oriented Architecture in Building Automation Systems☆

Tobias Teich; Sebastian Wolf; Tim Neumann; Sebastian Junghans; Susan Franke


gemeinschaften in neuen medien | 2014

Produktdifferenzierung durch Individualisierung von Ausstattungspaketen im Rahmen der Mass Customization im Bereich der Automobilindustrie

Tobias Teich; Erik Oestreich


gemeinschaften in neuen medien | 2014

Funktionale Leistungsabfragen in Supply Webs

Tobias Teich; Udo Mildenberger; Matthias Richter; Katja Unger; Jörg Militzer

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Hendrik Jähn

Chemnitz University of Technology

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Marco Fischer

Chemnitz University of Technology

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