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Innovation Driver New Production Technologies: Strategic Planning using Technology Roadmapping

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  • Martina Flatscher

    (G-SCOP_CPP - Conception Produit Process - G-SCOP - Laboratoire des sciences pour la conception, l'optimisation et la production - UJF - Université Joseph Fourier - Grenoble 1 - Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology - INPG - Institut National Polytechnique de Grenoble - CNRS - Centre National de la Recherche Scientifique)

  • Andreas Riel

    (G-SCOP_CPP - Conception Produit Process - G-SCOP - Laboratoire des sciences pour la conception, l'optimisation et la production - UJF - Université Joseph Fourier - Grenoble 1 - Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology - INPG - Institut National Polytechnique de Grenoble - CNRS - Centre National de la Recherche Scientifique)

Abstract

As innovation cycles are becoming shorter and technological progress faster, the need for reliable decision support for product and production planning is rapidly gaining crucial importance. To this aim, strongly innovation-driven industries like automotive use roadmaps relating products and technologies to a timeline from a specific company's viewpoint. Technology-driven manufacturing companies are struggling to apply technology roadmapping in a transparent, traceable and risk-minimizing way to plan their future production technology and competence needs. This paper points out the necessity of a holistic and integrated approach to using this instrument to help prepare organizations for new manufacturing processes and technologies in a timely and successful manner. It investigates the state of the art of technology roadmapping for strategic production planning, and derives necessary fields of action in the context of an industrial research and innovation project.

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  • Martina Flatscher & Andreas Riel, 2015. "Innovation Driver New Production Technologies: Strategic Planning using Technology Roadmapping," Post-Print hal-01980540, HAL.
    • Handle: RePEc:hal:journl:hal-01980540
    Note: View the original document on HAL open archive server: https://hal.science/hal-01980540
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    References listed on IDEAS

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    1. Lee, Jung Hoon & Kim, Hyung-il & Phaal, Robert, 2012. "An analysis of factors improving technology roadmap credibility: A communications theory assessment of roadmapping processes," Technological Forecasting and Social Change, Elsevier, vol. 79(2), pages 263-280.
    2. Carvalho, M.M. & Fleury, André & Lopes, Ana Paula, 2013. "An overview of the literature on technology roadmapping (TRM): Contributions and trends," Technological Forecasting and Social Change, Elsevier, vol. 80(7), pages 1418-1437.
    3. Miller, Peter & O'Leary, Ted, 2007. "Mediating instruments and making markets: Capital budgeting, science and the economy," Accounting, Organizations and Society, Elsevier, vol. 32(7-8), pages 701-734.
    4. Ronald S. Vatananan & Nathasit Gerdsri, 2012. "The Current State Of Technology Roadmapping (Trm) Research And Practice," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 9(04), pages 1-20.
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