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Towards a Novel Comparison Framework of Digital Maturity Assessment Models

Ouvrage scientifique
Auteur
COGNET, B.
136804 Ecole de Technologie Supérieure [Montréal] [ETS]
PERNOT, J.-P.
543315 Laboratoire d’Ingénierie des Systèmes Physiques et Numériques [LISPEN]
RIVEST, L.
136804 Ecole de Technologie Supérieure [Montréal] [ETS]
DANJOU, C.
57241 École Polytechnique de Montréal [EPM]
WUEST, T.
555839 Industrial and Management Systems Engineering [Morgantown]
KÄRKKÄINEN, H.
11598 Tampere University of Technology [Tampere] [TUT]
LAFLEUR, M.
26646 Institut de recherches sur la catalyse et l'environnement de Lyon [IRCELYON]

URI
http://hdl.handle.net/10985/23485
DOI
10.1007/978-3-030-42250-9_6
Date
2020-02-28

Résumé

The fourth industrial revolution is forcing companies to rethink their status quo – creating a need to assess their digital maturity as a basis for improvements. As a result, there is a variety of maturity models available in the literature. This paper introduces a novel comparison framework designed to compare different digital maturity assessment models. Our framework has several steps: reverse engineering of criteria from existing models, criteria matching analysis, as well as computation of the coverage and spread ratios. These two metrics characterize respectively the similarity of two maturity models, and the spread between them. We tested the proposed approach with two well-known maturity self-assessment approaches, namely the IMPULS and PwC methods. From our analysis, we were able to derive several insights that will help to develop a new maturity model specifically dedicated to support SMEs in the aerospace industry and manufacturing sector.

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  • MULTI-SOURCE POINT CLOUD SEMANTIC SEGMENTATION USING NEURAL NETWORK 
    Article dans une revue avec comité de lecture
    MONTLAHUC, J.; POLETTE, A.; TAHAN, A.; PERNOT, J.-P.; RIVEST, L. (Copernicus GmbH, 2022-05-30)
    Abstract. The purpose of this study is to enhance point cloud semantic segmentation by using point clouds from multiple distinct technologies on the same capture location and to determine whether employing various technologies ...
  • Digital maturity models: comparing manual and semi-automatic similarity assessment frameworks 
    Article dans une revue avec comité de lecture
    COGNET, Bruno; PERNOT, Jean Philippe; RIVEST, Louis; DANJOU, Christophe (Inderscience Publishers, 2021-11-29)
    The fourth industrial revolution is forcing companies to define their digital strategy, making it imperative that they assess their digital maturity as a basis for improvements. As a result, a variety of maturity models ...
  • Capturing and analysing how designers use CAD software 
    Communication avec acte
    SADEGHI, Samira; DARGON, Thomas; RIVEST, Louis; PERNOT, Jean-Philippe (2016)
    Current Computer-Aided Design (CAD) packages support the storage of the final design models and solutions in different formats, and PLM software manages the high-level information about the design process, such as the ...
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    Product lifecycle management (PLM) is a strategic product-centric, lifecycle-oriented and information-driven business approach that strives to integrate people and their inherent practices, processes, and technologies, ...
  • An illustrated glossary of ambiguous PLM terms used in discrete manufacturing 
    Article dans une revue avec comité de lecture
    PINQUIE, Romain; RIVEST, Louis; SEGONDS, Frédéric; VERON, Philippe (Inderscience, 2015)
    Product lifecycle management (PLM) is a strategic product-centric, lifecycle-oriented and information-driven business approach that strives to integrate people and their inherent practices, processes, and technologies, ...

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