%0 Conference Proceedings
%T Towards a Novel Comparison Framework of Digital Maturity Assessment Models
%+ Ecole de Technologie Supérieure [Montréal] (ETS)
%+ Laboratoire d’Ingénierie des Systèmes Physiques et Numériques (LISPEN)
%+ École Polytechnique de Montréal (EPM)
%+ Industrial and Management Systems Engineering [Morgantown]
%+ Tampere University of Technology [Tampere] (TUT)
%+ Institut de recherches sur la catalyse et l'environnement de Lyon (IRCELYON)
%A Cognet, B.
%A Pernot, J.-P.
%A Rivest, L.
%A Danjou, C.
%A Wuest, T.
%A Kärkkäinen, H.
%A Lafleur, M.
%Z Part 2: PLM Maturity and Industry 4.0
%< avec comité de lecture
%@ 9783030422509
%B 16th IFIP International Conference on Product Lifecycle Management (PLM)
%C Moscow, Russia
%Y Clement Fortin
%Y Louis Rivest
%Y Alain Bernard
%Y Abdelaziz Bouras
%I Springer International Publishing
%3 IFIP Advances in Information and Communication Technology
%V AICT-565
%P 58-71
%8 2019-07-08
%D 2019
%R 10.1007/978-3-030-42250-9_6
%K Industry 4.0
%K Smart manufacturing
%K Digitalization
%K Maturity models
%K Comparison framework
%K Coverage and spread ratios
%K Assessment
%Z Engineering Sciences [physics]/Mechanics [physics.med-ph]/Mechanical engineering [physics.class-ph]
%Z Humanities and Social Sciences/Business administrationConference papers
%X 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.
%G English
%Z TC 5
%Z WG 5.1
%2 https://hal.science/hal-04021877/document
%2 https://hal.science/hal-04021877/file/LISPEN_PLM_2019_PERNOT.pdf
%L hal-04021877
%U https://hal.science/hal-04021877
%~ SHS
%~ CNRS
%~ UNIV-LYON1
%~ ENSAM
%~ IRCELYON
%~ IFIP
%~ IFIP-AICT
%~ IFIP-TC
%~ IFIP-TC5
%~ INC-CNRS
%~ IFIP-WG
%~ IFIP-PLM
%~ IFIP-WG5-1
%~ UDL
%~ UNIV-LYON
%~ HESAM
%~ HESAM-ENSAM
%~ IRENAV
%~ LAMPA
%~ LCPI
%~ LABOMAP
%~ LISPEN
%~ MSMP
%~ IFIP-AICT-565