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Scenario and roadmap-based approach for the analysis of prospective production technology needs

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Abstract

Technological opportunities and threats relevant to a manufacturing company have to be identified prematurely to derive purposeful measures regarding the future use of a technology in the production environment. However, the identification of technologies is resource-intensive since companies are often unable to specify their prospective technology needs. This paper therefore presents an applicable method to support producing companies in specifying technology needs. The method consists of three steps that focus on deriving, selecting and describing relevant search fields constituting those needs. Thus, technologies covering the defined needs that may represent a technological opportunity or threat for a company can be found more effectively. The method has been applied at a German automobile manufacturer.

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Acknowledgments

The German Research Foundation (DFG) funds this research and development project. We extend our sincere thanks to the DFG for the generous support of the work described in this paper, resulting from the subproject B3 of the second funding phase in the framework of the Collaborative Research Centre 768 “Managing cycles in innovation processes”. The goal of the Collaborative Research Centre 768 is to reduce the knowledge gap regarding cycles and cyclic influences within the innovation process.

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Authors and Affiliations

  1. Institute for Machine Tools and Industrial Management (iwb), Technical University of Munich, Munich, Germany

    Josef Greitemann & Gunther Reinhart

  2. BMW Group, Munich, Germany

    Martin Hehl & Daniel Wagner

Authors
  1. Josef Greitemann
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  2. Martin Hehl
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  3. Daniel Wagner
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  4. Gunther Reinhart
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Correspondence to Josef Greitemann.

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Greitemann, J., Hehl, M., Wagner, D. et al. Scenario and roadmap-based approach for the analysis of prospective production technology needs. Prod. Eng. Res. Devel. 10, 337–343 (2016). https://doi.org/10.1007/s11740-016-0675-6

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  • DOI: https://doi.org/10.1007/s11740-016-0675-6

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