@inproceedings{28536,
  author       = {{Iwanek, Peter  and Gausemeier, Jürgen  and Dorociak, Rafal and  Stille,  Karl Stephan Christian and  Böcker, Joachim}},
  publisher    = {{publishing series of the Heinz Nixdorf Institute, Paderborn}},
  title        = {{{conception of one self-optimizing hybrid energy storage system with special consideration of reliability}}},
  volume       = {{310}},
  year         = {{2013}},
}

@inproceedings{28530,
  author       = {{Echterhoff, Niklas and Amshoff, Benjamin and Gausemeier, Jürgen}},
  booktitle    = {{Proceedings of the Stuttgart Symposium for Product Development (SSP) 2013}},
  title        = {{{Search and adaptation strategies for the systematic planning of cross-industry innovations}}},
  year         = {{2013}},
}

@inproceedings{28541,
  author       = {{Gausemeier, Jürgen and Anacker,  Harald  and Czaja, Anja Maria and Wassmann, Helene  and Dumitrescu, Roman}},
  publisher    = {{publishing series of the Heinz Nixdorf Institute, Paderborn}},
  title        = {{{On the way to intelligent technical systems}}},
  volume       = {{310}},
  year         = {{2013}},
}

@inproceedings{28540,
  author       = {{Bauer, Frank and Gausemeier, Jürgen and  Rudtsch, Vinzent}},
  publisher    = {{publishing series of the Heinz Nixdorf Institute, Paderborn}},
  title        = {{{Automated generation of material flow simulation models for the timely safeguarding of production systems}}},
  volume       = {{311}},
  year         = {{2013}},
}

@inproceedings{28531,
  author       = {{Echterhoff, Niklas and Amshoff, Benjamin and Gausemeier,  Jürgen}},
  booktitle    = {{Proceedings of the Stuttgart Symposium for Product Development (SSP) 2013}},
  title        = {{{Search and adaptation strategies for the systematic planning of cross-industry innovations}}},
  year         = {{2013}},
}

@inproceedings{28459,
  author       = {{Kessler, Jan Henning  and Gausemeier,  Jürgen and Iwanek, Peter  and Köchling, Daniel and Krüger, Martin  and Trächtler,  Ansgar}},
  title        = {{{Creation of process models for the design of self-optimizing controls}}},
  year         = {{2013}},
}

@inproceedings{28544,
  abstract     = {{Promising product innovations in modern mechanical engineering are based on the close interaction of mechanical engineering, electrics / electronics as well as control and software technology. This is what the term mechatronics stands for. Such systems are characterized on the one hand by the fact that they can react flexibly to changes in the environment, and on the other hand that they consist of several independent sub-systems that coordinate with each other in order to achieve higher-level goals. On the one hand, this becomes clear through the increased proportions of the control components - it is primarily concerned with controlled movement behavior. On the other hand, this is made clear by the increasing proportions of software components which, among other things, have to meet the challenges of communication, especially those in real time. Although there are mutual dependencies between the two disciplines, today's design of control and software technology is highly sequential: at the beginning, the continuous components (e.g. controller) are implemented by the control technology. Only then does the software technology work out the discrete-event components (e.g. controller switchover). In this contribution an approach is presented, on the basis of which the integrated design of control and software technology becomes possible. The procedure is illustrated using a case study (cooperating delta robots). Only then does the software technology work out the discrete-event components (e.g. controller switchover). In this contribution an approach is presented, on the basis of which the integrated design of control and software technology becomes possible. The procedure is illustrated using a case study (cooperating delta robots). Only then does the software technology work out the discrete-event components (e.g. controller switchover). In this contribution an approach is presented, on the basis of which the integrated design of control and software technology becomes possible. The procedure is illustrated using a case study (cooperating delta robots).
}},
  author       = {{Dziwok, Stefan and Just, Viktor and  Schierbaum, Thomas and Schäfer, Wilhelm and Trächtler,  Ansgar and  Gausemeier, Jürgen and Pohlmann,  Uwe  and Suck,  Julian and Sudmann, Oliver and Tichy, Matthias}},
  pages        = {{375--394}},
  publisher    = {{Publishing series of the Heinz Nixdorf Institute, Paderborn}},
  title        = {{{Integrated control and software design for complex mechatronic systems}}},
  volume       = {{310}},
  year         = {{2013}},
}

@inproceedings{28542,
  author       = {{Kreft, Sven and Gausemeier, Jürgen}},
  publisher    = {{publishing series of the Heinz Nixdorf Institute, Paderborn}},
  title        = {{{Systematic integration of geodata to create geospecific environment models for driving simulations}}},
  volume       = {{311}},
  year         = {{2013}},
}

@inproceedings{28543,
  author       = {{Gaukstern, Tobias and Dumitrescu, Roman and Jürgenhake, Christoph  and Gausemeier, Jürgen}},
  title        = {{{A method for the design of three-dimensional injection molded circuit boards like (MID)}}},
  year         = {{2013}},
}

@proceedings{26201,
  editor       = {{Gausemeier, Jürgen}},
  publisher    = {{Verlagsschriftenreihe des Heinz Nixdorf Instituts, Paderborn}},
  title        = {{{Vorausschau und Technologieplanung. 8. Symposium für Vorausschau und Technologieplanung}}},
  volume       = {{306}},
  year         = {{2012}},
}

@inproceedings{23150,
  author       = {{Bauer, Frank and Gausemeier, Jürgen and Köchling, Daniel and Oestersötebier, Felix}},
  booktitle    = {{Tag des Systems Engineerings}},
  publisher    = {{Carl Hanser Verlag, München}},
  title        = {{{Simulative Absicherung mechatronischer Systeme in der frühen Phase der Produktentstehung}}},
  year         = {{2012}},
}

@inproceedings{23151,
  author       = {{Oestersötebier, Felix and Dziwok, Stefan and Bauer, Frank and Trächtler, Ansgar and Schäfer, Wilhelm and Gausemeier, Jürgen}},
  booktitle    = {{Tag des Systems Engineerings}},
  publisher    = {{Carl Hanser Verlag, München}},
  title        = {{{Unterstützung des mechatronischen Entwurfs durch die effektive Suche nach Lösungselementen mithilfe von semantischen Technologien}}},
  year         = {{2012}},
}

@inproceedings{9791,
  abstract     = {{The rapid development of communication and information technology opens up fascinating perspectives, which go far beyond the state of the art in mechatronics: mechatronic systems with inherent partial intelligence. These so called self-optimizing systems adapt their objectives and behavior autonomously and flexibly to changing operating conditions. On the one hand, securing the dependability of such systems is challenging due to their complexity and non-deterministic behavior. On the other hand, self-optimization can be used to increase the dependability of the system during its operation. However, it has to be ensured, that the self-optimization works dependable itself. To cope with these challenges, the multi-level dependability concept was developed. It enables predictive condition monitoring, influences the objectives of the system and determines suitable means to improve the system's dependability during its operation. In this contribution we introduce a procedure for the conceptual design of an advanced condition monitoring based on the system's principle solution. The principle solution describes the principal operation mode of the system and its desired behavior. It is modeled using the specification technique for the domain-spanning description of the principle solution of a self-optimizing system and consists of a coherent system of eight partial models (e.g. requirements, active structure, system of objectives, behavior, etc.). The partial models are analyzed separately in order to derive the components of the multi-level dependability concept. In particular, the reliability analysis of the partial model active structure is performed to identify the system elements to be monitored and parameters to be measured. The principle solution is extended accordingly: e.g. with system elements required for the realization of the dependability concept. The advantages of the method are shown on the self-optimizing guidance module of a railroad vehicle.}},
  author       = {{Sondermann-Wölke , Christoph and Meyer, Tobias and Dorociak, Rafal and Gausemeier, Jürgen and Sextro, Walter}},
  booktitle    = {{Proceedings of the 11th International Probabilistic Safety Assessment and Management Conference (PSAM11) and The Annual European Safety and Reliability Conference (ESREL2012)}},
  keywords     = {{Mechatronic Systems, Principle Solution, Condition Monitoring, Conceptual Design}},
  title        = {{{Conceptual Design of Advanced Condition Monitoring for a Self-Optimizing System based on its Principle Solution}}},
  year         = {{2012}},
}

@article{16010,
  author       = {{Lauter, Christian and Tröster, Thomas and Brandis, Rinje and Gausemeier, Jürgen}},
  issn         = {{1865-4819}},
  journal      = {{Lightweight Design}},
  pages        = {{50--56}},
  title        = {{{Methodik für die Produktentstehung hybrider Leichtbaustrukturen}}},
  doi          = {{10.1365/s35725-013-0137-4}},
  volume       = {{5}},
  year         = {{2012}},
}

@article{28569,
  author       = {{Brink, Volker  and Gausemeier, Jürgen  and Reymann, Felix}},
  journal      = {{construction, issue 11/2012}},
  title        = {{{integrative development of product and technology strategies}}},
  year         = {{2012}},
}

@article{28571,
  author       = {{Gausemeier, Jürgen and Grote,  Anne-Christin}},
  journal      = {{CONTROLLING - magazine for success-oriented corporate management}},
  pages        = {{516--522}},
  title        = {{{Strategic leadership with scenarios}}},
  volume       = {{24th year}},
  year         = {{2012}},
}

@inbook{28561,
  author       = {{Gausemeier, Jürgen and Iwanek,  Peter and Köchling, Daniel}},
  booktitle    = {{Industrieanzeiger}},
  pages        = {{68--69}},
  publisher    = {{Konradin Verlag}},
  title        = {{{The production system of the future thinks and learns}}},
  volume       = {{30}},
  year         = {{2012}},
}

@inproceedings{28636,
  author       = {{Gausemeier, Jürgen and Echterhoff, Niklas and Wall, Marina}},
  title        = {{{Thinking ahead of the future of additive manufacturing - scenario-based comparison of technology push and market pull}}},
  year         = {{2012}},
}

@inproceedings{28634,
  author       = {{Gausemeier, Jürgen  and Lehner, Markus}},
  pages        = {{247--260}},
  publisher    = {{Shaker Verlag}},
  title        = {{{Market and environmental scenarios in medical electronics - requirements for the products and services of tomorrow}}},
  year         = {{2012}},
}

@proceedings{26195,
  editor       = {{Gausemeier, Jürgen and Rammig, Franz-Josef and Schäfer, Wilhelm and Trächtler, Ansgar}},
  publisher    = {{Verlagsschriftenreihe des Heinz Nixdorf Instituts, Paderborn}},
  title        = {{{8. Paderborner Workshop Entwurf mechatronischer Systeme}}},
  volume       = {{294}},
  year         = {{2011}},
}

