Factory of the Future: The industrial transition through the prism of co-evolution

Flor de Asis Marti Nieto (), Virginie Goepp-Thiebaud () and Emmanuel Caillaud
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Flor de Asis Marti Nieto: LGeco - Laboratoire de Génie de la Conception - INSA Strasbourg - Institut National des Sciences Appliquées - Strasbourg - INSA - Institut National des Sciences Appliquées
Virginie Goepp-Thiebaud: ICube - Laboratoire des sciences de l'ingénieur, de l'informatique et de l'imagerie - ENGEES - École Nationale du Génie de l'Eau et de l'Environnement de Strasbourg - UNISTRA - Université de Strasbourg - HUS - Les Hôpitaux Universitaires de Strasbourg - INSA Strasbourg - Institut National des Sciences Appliquées - Strasbourg - INSA - Institut National des Sciences Appliquées - CNRS - Centre National de la Recherche Scientifique - MNGE - Matériaux et Nanosciences Grand-Est - UNISTRA - Université de Strasbourg - Université de Haute-Alsace (UHA) - Université de Haute-Alsace (UHA) Mulhouse - Colmar - INSERM - Institut National de la Santé et de la Recherche Médicale - INC-CNRS - Institut de Chimie - CNRS Chimie - CNRS - Centre National de la Recherche Scientifique - Réseau nanophotonique et optique - UNISTRA - Université de Strasbourg - Université de Haute-Alsace (UHA) - Université de Haute-Alsace (UHA) Mulhouse - Colmar - CNRS - Centre National de la Recherche Scientifique

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Abstract: The shift towards the future of manufacturing is a main stake for companies to remain competitive. This paper proposes to manage this shift in a global manner through an enhanced co-evolution model. It takes into account the main enterprise domains that have to `co-evolve': product, manufacturing and information system. The model also integrates the role of the strategy and of the human workforce which are crucial in the Factory of the Future context. We identify the modeling constructs required to support an efficient co-evolution management.

Keywords: Evolution (biology); Production systems; Maufacturing; Manufacturing; Organizations; Analytical models; Production facilities; Adaptation models (search for similar items in EconPapers)
Date: 2019-10-06
Note: View the original document on HAL open archive server: https://hal.science/hal-03078888v1
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Published in IEEE International Conference on Systems, Man and Cybernetics (SMC 2019), IEEE, Oct 2019, Bari, Italy. pp.3337-3342, ⟨10.1109/SMC.2019.8914506⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-03078888

DOI: 10.1109/SMC.2019.8914506

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