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Scientific Cooperation Engineering in the Cluster of Excellence Integrative Production Technology for High-Wage Countries at RWTH Aachen University

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Automation, Communication and Cybernetics in Science and Engineering 2013/2014

Abstract

Interdisciplinary scientific cooperation plays a decisive role for the generation of new knowledge. The augmenting dynamic and complexity of scientific forms of cooperation require new approaches for interlinking people and knowledge from different disciplines to enable people for succeeding in interdisciplinary cooperation. Concerning the case of the cluster of excellence Integrative Production Technology for High-Wage Countries at RWTH Aachen University this challenge is addressed by cross sectional processes (CSP). CSP are supporting networking processes and strategic cluster development by means of learning and knowledge management. Through cross-sectional activities, a new method for knowledge and organizational development was identified – scientific cooperation engineering. It aspires to support the transfer of highly complex, dynamic and interdisciplinary research cooperation into sustainable and robust structures. The design of scientific cooperation engineering will be outlined in this position paper.

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Notes

  1. 1.

    The excellence initiative was started in 2005 by the government and federal states. It is divided into three funding lines: graduate schools, clusters of excellence and future concepts for top-level research.

  2. 2.

    The resolution of the polylemma of production considers two dichotomies. The first dichotomy: scale and scope describes the contradiction between the realisation of a high variety of customised products and the cost-effective manufacturing of mass products. A second dichotomy exists between plan orientation (the objectives of lower-level entities are highly synchronised) and value orientation (highly dynamic production systems).

  3. 3.

    The prototype model was composed by the synthesis of a literature analysis as well as an empirical approach triangulating cluster-specific data resulting from direct and indirect evaluations and structured interviews. This enabled the identification of tailor-made sections of scientific cooperation engineering.

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Acknowledgements

This work was performed as part of the cluster of excellence Integrative Production Technology for High-Wage Countries, which is funded by the excellence initiative by the German federal and state governments to promote science and research at German universities.

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Correspondence to Claudia Jooß .

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Jooß, C. et al. (2014). Scientific Cooperation Engineering in the Cluster of Excellence Integrative Production Technology for High-Wage Countries at RWTH Aachen University. In: Jeschke, S., Isenhardt, I., Hees, F., Henning, K. (eds) Automation, Communication and Cybernetics in Science and Engineering 2013/2014. Springer, Cham. https://doi.org/10.1007/978-3-319-08816-7_9

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