,
Technology, productivity and process change, Technological Forecasting and Social Change, vol.7, issue.4, pp.379-396, 1975. ,
DOI : 10.1016/0040-1625(75)90015-3
Critical success factors for lean implementation within SMEs, Journal of Manufacturing Technology Management, vol.17, issue.4, pp.460-471, 2006. ,
DOI : 10.1016/S0377-2217(02)00547-7
how to carry out a literature review for a dissertation or research paper, 2015. ,
Sequences in the implementation of lean production, European Management Journal, vol.16, issue.3, pp.327-334, 1998. ,
DOI : 10.1016/S0263-2373(98)00009-7
Critical success factors for ERP implementation in SMEs, Robotics and Computer-Integrated Manufacturing, vol.29, issue.3, 2013. ,
DOI : 10.1016/j.rcim.2012.04.019
Enterprise resource planning (ERP) systems: a research agenda, Industrial Management & Data Systems, vol.102, issue.3, pp.165-170, 2002. ,
DOI : 10.1108/01443579810225504
,
How Management Goes Wrong? ? The Human Factor Lessons Learned from a Cyber Incident Handling Exercise. Procedia Manuf, pp.1082-1087, 2015. ,
Digital Object Memory Based Monitoring Solutions in Manufacturing Processes, Procedia Engineering, vol.69, 2014. ,
DOI : 10.1016/j.proeng.2014.03.011
Combining the judgments of experts: How many and which ones?, Organizational Behavior and Human Decision Processes, vol.38, issue.3, pp.405-414, 1986. ,
DOI : 10.1016/0749-5978(86)90009-9
Factory Templates for Digital Factories Framework, Robotics and Computer-Integrated Manufacturing, vol.27, issue.4, pp.755-771, 2011. ,
DOI : 10.1016/j.rcim.2011.02.004
Big Data and virtualization for manufacturing cyber-physical systems: A survey of the current status and future outlook, Computers in Industry, vol.81, 2016. ,
DOI : 10.1016/j.compind.2016.02.004
Cyber-physical Systems Architecture for Self-Aware Machines in Industry 4.0 Environment, IFAC-PapersOnLine, vol.48, issue.3, pp.1622-1627, 2015. ,
DOI : 10.1016/j.ifacol.2015.06.318
, Maîtriser les Progiciels ERP, 2015.
Why is Lean so far off ?, Work. Manag, vol.55, pp.26-29, 2002. ,
Massive sensor data management framework in Cloud manufacturing based on Hadoop, IEEE 10th International Conference on Industrial Informatics, pp.397-401, 2012. ,
DOI : 10.1109/INDIN.2012.6301192
A dynamic multi-agent-based scheduling approach for SMEs, The International Journal of Advanced Manufacturing Technology, vol.22, issue.5, pp.170-186, 2016. ,
DOI : 10.1108/17410381111126409
PME : Un Patronat aux trois visages, in: Les Organisations : Etat Des Savoirs, Sciences Humaines, pp.173-178, 1999. ,
Perceived performance effects of ICT in manufacturing SMEs, Industrial Management & Data Systems, vol.113, issue.1, pp.117-135, 2013. ,
DOI : 10.1108/02635570710740689
Identification of Key Machines in Complex Production Networks, Procedia CIRP, vol.41, pp.69-74, 2016. ,
DOI : 10.1016/j.procir.2015.12.006
URL : https://doi.org/10.1016/j.procir.2015.12.006
Big data analytics with applications, Journal of Management Analytics, vol.45, issue.4, pp.249-265, 2014. ,
DOI : 10.1016/j.bdr.2014.07.001
Industrie du futur : une compétition mondiale, 2016. ,
Italian Craft Firms Between Digital Manufacturing, Open Innovation, and Servitization, Journal of the Knowledge Economy, vol.38, issue.4, 2015. ,
DOI : 10.2307/41165853
The computerisation of European jobs [WWW Document]. URL http://bruegel.org/2014/07/the-computerisation-of-european-jobs, 2014. ,
Employing Smart Units and Servitization towards Reconfigurability of Manufacturing Processes, Procedia CIRP, vol.30, pp.498-503, 2015. ,
DOI : 10.1016/j.procir.2015.02.154
URL : https://doi.org/10.1016/j.procir.2015.02.154
The productivity paradox of information technology, Communications of the ACM, vol.36, issue.12, 1993. ,
DOI : 10.1145/163298.163309
, C
Digital Factory Approach for Flexible and Efficient Manufacturing Systems in the Aerospace Industry, Procedia CIRP, vol.37, 2015. ,
DOI : 10.1016/j.procir.2015.08.015
Modelling, Analysis and Improvement of Mass and Small Batch Production through Advanced Simulation Tools, Procedia CIRP, vol.12, 2013. ,
DOI : 10.1016/j.procir.2013.09.073
Knowledge-enriched shop floor control in end-of-life business, Production Planning & Control, vol.15, issue.5, pp.174-193, 2011. ,
DOI : 10.1016/j.technovation.2005.08.012
La Recherche-Intervention : Quels Usages En Controle De Gestion ? Congrès l'Association Francoph. Comptab, pp.1-25, 2010. ,
Computer assisted glass mosaic tiling automation, Robotics and Computer-Integrated Manufacturing, vol.28, issue.5, pp.583-591, 2012. ,
DOI : 10.1016/j.rcim.2012.02.008
Decision support system for servitization of industrial SMEs: a modelling and simulation approach, Journal of Decision Systems, vol.3, issue.4, pp.355-382, 2015. ,
DOI : 10.1016/j.jclepro.2006.01.022
URL : https://hal.archives-ouvertes.fr/emse-01202436
Des PME aux ETI : les entreprises en croissance, 2014. ,
Towards Knowledge Capturing and Innovative Human-system Interface in an Open-source Factory Modelling and Simulation Environment, Procedia CIRP, vol.33, 2015. ,
DOI : 10.1016/j.procir.2015.06.006
Information Support and Interactive Planning in the Digital Factory: Approach and Industry-driven Evaluation, Procedia CIRP, vol.25, 2014. ,
DOI : 10.1016/j.procir.2014.10.038
IT support for business processes in SMEs, Business Process Management Journal, vol.17, issue.5, pp.697-710, 2011. ,
DOI : 10.1108/13287260910932395
Technology monoculture: ERP systems, ???techno-process diversity??? and the threat to the information technology ecosystem, Adv. Account. Behav. Res, vol.80, pp.13-30, 2010. ,
DOI : 10.1038/35021046
An Experimental Application of the DELPHI Method to the Use of Experts, Management Science, vol.9, issue.3, 1963. ,
DOI : 10.1287/mnsc.9.3.458
Advanced manufacturing technology implementation, Journal of Manufacturing Technology Management, vol.16, issue.5, pp.483-496, 2005. ,
DOI : 10.1108/14635770210418551
, MapReduce. Commun. ACM, vol.51, 2008.
Investigating factors affecting ERP selection in made???to???order SME sector, Journal of Manufacturing Technology Management, vol.19, issue.4, pp.430-4461017410380810869905, 1108. ,
DOI : 10.1016/j.ijpe.2003.08.014
A comparative analysis of machine learning systems for measuring the impact of knowledge management practices, Decision Support Systems, vol.54, issue.2, 2013. ,
DOI : 10.1016/j.dss.2012.10.040
Interpretation and optimization of material flow via system behavior reconstruction, Production Engineering, vol.19, issue.1, pp.659-668, 2014. ,
DOI : 10.1109/EUROSIM.2013.57
Business models for the Internet of Things, International Journal of Information Management, vol.35, issue.6, 2015. ,
DOI : 10.1016/j.ijinfomgt.2015.07.008
Scenario-based Simulation Approach for Layout Planning, Procedia CIRP, vol.12, pp.354-359, 2013. ,
DOI : 10.1016/j.procir.2013.09.061
Mental Strain as Field of Action in the 4th Industrial Revolution, Procedia CIRP, vol.17, pp.100-105, 2014. ,
DOI : 10.1016/j.procir.2014.01.077
Critical success factors for ERP implementations in Belgian SMEs, Journal of Enterprise Information Management, vol.23, issue.3, pp.378-40610, 1108. ,
DOI : 10.1016/S0377-2217(02)00547-7
, , 2004.
, E
du financement des, 2014. Rapport sur la situation économique et Références bibliographiques 123 ,
,
Technology adoption in small and medium-sized logistics providers 113, pp.967-989, 2013. ,
Administration industrielle et générale, 1917. ,
A structured approach for customised production in SME collaborative networks, International Journal of Production Research, vol.11, issue.2, pp.2110-2122, 2013. ,
DOI : 10.1007/s10111-007-0083-y
The future of employment: How susceptible are jobs to computerisation?, Technological Forecasting and Social Change, vol.114, 2017. ,
DOI : 10.1016/j.techfore.2016.08.019
Pacte pour la compétitivité de l'industrie Française, 2012. ,
Performance measurement systems in SMEs: A review for a research agenda, International Journal of Management Reviews, vol.36, issue.1, pp.25-47, 2005. ,
DOI : 10.1108/00251740010373089
URL : http://onlinelibrary.wiley.com/doi/10.1111/j.1468-2370.2005.00105.x/pdf
Generic machining process sequencing through a revised enriched machining feature concept, Journal of Manufacturing Systems, vol.37, 2015. ,
DOI : 10.1016/j.jmsy.2015.04.004
Report on a Long-Range Forecasting Study, 1964. ,
Evolution and Revolution as Organizations Grow -Harvard Business Review, Harv. Bus. Rev, vol.76, pp.55-68, 1972. ,
DOI : 10.1007/978-1-349-20317-8_25
ERP Systems in SMEs: A Literature Review, 2011 44th Hawaii International Conference on System Sciences, pp.1-10, 0191. ,
DOI : 10.1109/HICSS.2011.191
URL : https://brage.bibsys.no/xmlui/bitstream/11250/136281/1/Haddara_2011_ERP.pdf
The role of wearable devices in meeting the needs of cloud manufacturing: A case study, Robotics and Computer-Integrated Manufacturing, vol.45, 2015. ,
DOI : 10.1016/j.rcim.2015.10.001
Virtual factory system design and implementation: integrated sustainable manufacturing, International Journal of Systems Science: Operations & Logistics, vol.9, issue.11, pp.1-17, 2016. ,
DOI : 10.1108/14654659910296517
Méthode Delphi : une étude de cas sur les technologies du futur, Futuribles, vol.218, pp.33-53, 1997. ,
Digital business ecosystem prototyping for SMEs, Journal of Systems and Information Technology, vol.14, issue.4, pp.286-301, 2012. ,
DOI : 10.1016/j.compag.2009.07.015
Applied Lean Business Transformations : A complete project management approach, 2011. ,
Virtual Fort Knox Federative, Secure and Cloud-based Platform for Manufacturing, Procedia CIRP, vol.7, pp.527-532, 2013. ,
DOI : 10.1016/j.procir.2013.06.027
URL : https://doi.org/10.1016/j.procir.2013.06.027
Building blocks for adaptable factory systems, Robotics and Computer-Integrated Manufacturing, vol.27, issue.4, 2011. ,
DOI : 10.1016/j.rcim.2010.12.011
Cloud manufacturing service platform for small- and medium-sized enterprises, The International Journal of Advanced Manufacturing Technology, vol.44, issue.9???10, pp.1261-1272, 2013. ,
DOI : 10.1007/s00170-008-1534-1
An empirical study of ERP success evaluations by business and IT managers, Information Management & Computer Security, vol.15, issue.4, pp.270-282, 2007. ,
DOI : 10.1108/02635570510575225
Critical success factors for TQM implementation and their impact on performance of SMEs, International Journal of Productivity and Performance Management, vol.58, issue.3, pp.215-237, 2009. ,
DOI : 10.1080/09544120050007760
A methodology to develop collaborative robotic cyber physical systems for production environments, Logistics Research, vol.15, issue.1, 2016. ,
DOI : 10.1109/ISED.2014.8
URL : https://link.springer.com/content/pdf/10.1007%2Fs12159-016-0151-x.pdf
Stratégie Océan Bleu : comment créer de nouveaux espaces stratégiques, 2005. ,
Industrie : Les défis de la transformation numérique du modèle industriel allemand, 2016. ,
Industrie 4.0 : quelles stratégies numériques ?, pp.1-67, 2015. ,
Lean Automation enabled by Industry 4, pp.1870-1875, 2015. ,
DOI : 10.1016/j.ifacol.2015.06.359
Automation and TECIS. IFAC-PapersOnLine 48, 2015. ,
DOI : 10.1016/j.ifacol.2015.12.050
Does size matter for Six Sigma implementation? TQM J, pp.623-635, 2009. ,
DOI : 10.1108/17542730910995882
Les systèmes de décision dans les organisations, 1974. ,
A Cyber-Physical Systems architecture for Industry 4.0-based manufacturing systems, Manufacturing Letters, vol.3, 2015. ,
DOI : 10.1016/j.mfglet.2014.12.001
Construction of a computer-simulated mixed reality environment for virtual factory layout planning, Computers in Industry, vol.62, issue.1, 2011. ,
DOI : 10.1016/j.compind.2010.07.001
Service Innovation and Smart Analytics for Industry 4.0 and Big Data Environment, Procedia CIRP, vol.16, 2014. ,
DOI : 10.1016/j.procir.2014.02.001
The Toyota way: 14 management principles from the world's greatest manufacturer, Action Learning: Research and Practice, p.1014767330701234002, 1080. ,
Critical elements for a successful enterprise resource planning implementation in small-and medium-sized enterprises, International Journal of Production Research, vol.49, issue.17, pp.3433-3455, 2004. ,
DOI : 10.1080/00207540210148853
Operator allocation planning for reconfigurable production line in one-of-a-kind production, International Journal of Production Research, vol.49, issue.3, pp.689-7051000207540903555486, 1080. ,
DOI : 10.1057/jors.1977.198
Selection and critical success factors in successful ERP implementation, Competitiveness Review, vol.24, issue.4, pp.357-375, 2014. ,
DOI : 10.1108/14637150510591156
Supplier replenishment policy using e-Kanban: A framework for successful implementation, Production Planning & Control, vol.6, issue.2, pp.161-175, 2014. ,
DOI : 10.1111/j.1937-5956.2000.tb00463.x
Méthodes quantitatives de consultations d'experts, Editions P, 2009. ,
A model-driven approach to enabling change capability in SMEs, The International Journal of Advanced Manufacturing Technology, vol.222, issue.2, pp.805-821, 2013. ,
DOI : 10.1243/09544054JEM792
A Multi-agent Based Construction of the Digital Eco-factory for a Printed-circuit Assembly Line, Procedia CIRP, vol.41, 2016. ,
DOI : 10.1016/j.procir.2015.12.061
Design S3-RF (Sustainable x Smart x Sensing - Reference Framework) for the Future Manufacturing Enterprise, IFAC-PapersOnLine, vol.48, issue.3, pp.58-63, 2015. ,
DOI : 10.1016/j.ifacol.2015.06.058
Make-to-XGrade for the Design and Manufacturing of Flexible, Adaptive, and Reactive Products, Procedia CIRP, vol.21, pp.199-205, 2014. ,
DOI : 10.1016/j.procir.2014.03.147
URL : https://doi.org/10.1016/j.procir.2014.03.147
Cyber-Physical-Robotics ??? Modelling of modular robot cells for automated planning and execution of assembly tasks, Mechatronics, vol.34, 2016. ,
DOI : 10.1016/j.mechatronics.2015.04.012
, Nouvelle France Industrielle : l'industrie du futur [WWW Document]. URL https, Ministère de l'économie, 2017.
, , 1982.
Modélisation du processus de pilotage d'un atelier en temps réel à l'aide de la simulation en ligne couplée à l'exécution, 2009. ,
Industry 4.0 and the SME: a technology-focused review of the empirical literature, IESM Conference, p.7, 2017. ,
URL : https://hal.archives-ouvertes.fr/hal-01771941
Les moyens de mise-en-oeuvre de l'industrie 4, 12e Édition Du Congrés International de Génie Industriel, 2017. ,
Le Juste à temps dans les PME à l'ère de l'industrie 4, 15e Colloque National AIP- Priméca, 2017. ,
The industrial management of SMEs in the era of Industry 4.0, International Journal of Production Research, vol.9, issue.3, 2017. ,
DOI : 10.1016/j.micpro.2015.08.013
URL : https://hal.archives-ouvertes.fr/hal-01771941
,
Strengths and weaknesses of small and medium sized enterprises regarding the implementation of lean manufacturing, IFAC-PapersOnLine, vol.49, issue.12, pp.71-76, 2016. ,
DOI : 10.1016/j.ifacol.2016.07.552
URL : https://hal.archives-ouvertes.fr/hal-01771945
, Difficultés d'implémentation du Lean Manufacturing dans les Petites et Moyennes Entreprises 11e Édition Du Congrés International de Génie Industriel, 2015.
A framework for lean manufacturing implementation, Production & Manufacturing Research, vol.44, issue.1, 2013. ,
DOI : 10.1108/00251740610650210
Centralization and the success of ERP implementation, Journal of Enterprise Information Management, vol.27, issue.3, pp.728-750, 2016. ,
DOI : 10.1287/mnsc.28.12.1421
The Toyota Production System ? Beyond Large-Scale Production, 1988. ,
A collaborative manufacturing execution platform for space product development, The International Journal of Advanced Manufacturing Technology, vol.45, issue.3???5, pp.443-455, 2012. ,
DOI : 10.1007/s00170-009-2029-4
Defining lean production: some conceptual and practical issues, The TQM Journal, vol.21, issue.2, pp.127-142, 2008. ,
DOI : 10.1108/01443570610682616
How Smart , Connected Products Are Transforming Competition, Harv. Bus. Rev, 2014. ,
Operations management and advanced manufacturing technologies in SMEs, Journal of Manufacturing Technology Management, vol.16, issue.8, pp.936-955, 2005. ,
DOI : 10.4018/irmj.1999010103
Cloud manufacturing: from concept to practice, Enterprise Information Systems, vol.1, issue.1, pp.186-209, 2015. ,
DOI : 10.1080/17517575.2012.683812
the future of productivity and growth in manufacturing industries, 2015. ,
Reducing security vulnerabilities for critical infrastructure, Journal of Loss Prevention in the Process Industries, vol.22, issue.6, 2009. ,
DOI : 10.1016/j.jlp.2009.07.015
Manufacturing execution system ??? a literature review, Production Planning & Control, vol.16, issue.8, pp.525-539, 2009. ,
DOI : 10.1108/17410380510627889
An Instrument for Measuring the Critical Factors of Quality Management, Decision Sciences, vol.67, issue.4, 1989. ,
DOI : 10.2307/2392530
A Maturity Model for Assessing Industry 4.0 Readiness and Maturity of Manufacturing Enterprises, Procedia CIRP, vol.52, pp.161-166, 2016. ,
DOI : 10.1016/j.procir.2016.07.040
Towards industrial internet of things: Crankshaft monitoring, traceability and tracking using RFID, Robotics and Computer-Integrated Manufacturing, vol.41, pp.66-77, 2016. ,
DOI : 10.1016/j.rcim.2016.02.004
Modelling complex and flexible processes for smart cyber-physical environments, Journal of Computational Science, vol.10, 2015. ,
DOI : 10.1016/j.jocs.2014.07.001
Framework for performance measurement and management in a collaborative business environment, International Journal of Productivity and Performance Management, vol.61, issue.6, pp.672-69010, 1108. ,
DOI : 10.1002/j.2158-1592.2009.tb00114.x
Conducting content?analysis based literature reviews in supply chain management. Supply Chain Manag, An Int. J, vol.17, pp.544-555, 2012. ,
DOI : 10.1108/13598541211258609
ICT-based solution approach for collaborative delivery of customised products, Production Planning & Control, vol.16, issue.2, pp.280-298, 2016. ,
DOI : 10.1504/IJNVO.2008.018822
URL : http://eprints.uwe.ac.uk/27528/3/PPC%20Accepted%20version_for%20repository.pdf
CSFs along ERP life???cycle in SMEs: a field study, Industrial Management & Data Systems, vol.112, issue.3, pp.360-384, 2012. ,
DOI : 10.1016/S0377-2217(02)00547-7
The productivity paradox, Harv. Bus. Rev, 1986. ,
The impact of critical success factors across the stages of enterprise resource planning implementations, Proceedings of the 34th Annual Hawaii International Conference on System Sciences, p.927129, 2001. ,
DOI : 10.1109/HICSS.2001.927129
Common engines of cloud manufacturing service platform for SMEs, The International Journal of Advanced Manufacturing Technology, vol.17, issue.3, pp.557-569, 2014. ,
DOI : 10.1016/j.comnet.2010.05.010
A virtual factory approach for in situ simulation to support production and maintenance planning, CIRP Annals, vol.64, issue.1, pp.451-454, 2015. ,
DOI : 10.1016/j.cirp.2015.04.121
, , 1999.
Towards a Methodology for Developing Evidence-Informed Management Knowledge by Means of Systematic Review, British Journal of Management, vol.13, issue.1, pp.207-222, 2003. ,
DOI : 10.1111/j.1467-6486.1984.tb00234.x
A review of essential standards and patent landscapes for the Internet of Things: A key enabler for Industry 4.0, Advanced Engineering Informatics, vol.33, 2016. ,
DOI : 10.1016/j.aei.2016.11.007
Methodology of the Creation of Human and Robot Operation in the Tecnomatix Process Simulate, Procedia Engineering, vol.96, pp.483-488, 2014. ,
DOI : 10.1016/j.proeng.2014.12.119
The Effectiveness of Nominal, Delphi, and Interacting Group Decision Making Processes., Academy of Management Journal, vol.17, issue.4, pp.605-621, 1974. ,
DOI : 10.2307/255641
Computer integrated manufacturing, and small and medium enterprises, Computers & Industrial Engineering, vol.37, issue.1-2, pp.425-428, 1999. ,
DOI : 10.1016/S0360-8352(99)00109-6
Managing Innovative Production Network of Smart Factories, IFAC-PapersOnLine, vol.48, issue.3, 2015. ,
DOI : 10.1016/j.ifacol.2015.06.139
Current status and advancement of cyber-physical systems in manufacturing, Journal of Manufacturing Systems, vol.37, pp.517-527, 2015. ,
DOI : 10.1016/j.jmsy.2015.04.008
Implementing Smart Factory of Industrie 4.0: An Outlook, International Journal of Distributed Sensor Networks, vol.15, issue.4, pp.1-10, 2016. ,
DOI : 10.1109/TSG.2011.2160298
A cloud-based production system for information and service integration: an internet of things case study on waste electronics, Enterprise Information Systems, vol.16, issue.11, pp.1-17, 2016. ,
DOI : 10.1155/2013/607582
An interoperable solution for Cloud manufacturing, Robot. Comput. Integr. Manuf, vol.29, 2013. ,
Cyber-physical security challenges in manufacturing systems, Manufacturing Letters, vol.2, issue.2, pp.74-77, 2014. ,
DOI : 10.1016/j.mfglet.2014.01.005
Lean thinking, First Free, 2003. ,
The machine that changed the world, 1990. ,
Closed-loop design evolution of engineering system using condition monitoring through internet of things and cloud computing, Computer Networks, vol.101, 2016. ,
DOI : 10.1016/j.comnet.2015.12.016
From cloud computing to cloud manufacturing, Robotics and Computer-Integrated Manufacturing, vol.28, issue.1, pp.75-86, 2012. ,
DOI : 10.1016/j.rcim.2011.07.002
The relationship between benefits of ERP systems implementation and its impacts on firm performance of SCM, Journal of Enterprise Information Management, vol.22, issue.6, pp.722-752, 2009. ,
DOI : 10.1080/00207540600768010
Cloud-assisted industrial cyber-physical systems: An insight, Microprocessors and Microsystems, vol.39, issue.8, 2015. ,
DOI : 10.1016/j.micpro.2015.08.013
Critical success factors in small and medium enterprises: Survey results, Total Quality Management, vol.11, issue.4-6, pp.448-462, 2000. ,
DOI : 10.1080/0954412997839
A structured evaluation of business process improvement approaches, Business Process Management Journal, vol.17, issue.2, pp.203-237, 2011. ,
DOI : 10.1108/14637159510798248
, exploitation de l'ensemble des technologies de l'industrie 4.0 (Big Data, Simulation, l'Internet des objets, les CPS, le Cloud Computing, la réalité virtuelle, la Cyber-Sécurité, les robots collaboratifs et le machine to machine) est nécessaire à l'implantation de l'industrie 4, ITEM, vol.18
, 17 % d'avis favorables
, Les technologies sélectionnées doivent répondre aux besoins identifies, qui apportent de la valeur et qui permettent d'atteindre les objectifs particuliers de l'entreprise . Ainsi, l'exploitation de l'ensemble des technologies n'est pas nécessaire a priori
, ITEM 20 : Les PME ont les ressources financières pour exploiter les technologies améliorant le flux physique (CPS, M2M
,
, Les experts considèrent que les technologies d'amélioration de flux physique sont les plus coûteuses et les PME n'ont pas les moyens financiers suffisants pour les exploi- ter
les experts précisent qu'il ne semble pas évident que la réalisation de la connectivité inhérente à l'industrie 4 ,
, Les experts ayant été favorables pour l'item considèrent que la créativité et l'ouverture d'esprit du dirigeant sont également importantes
, La compréhension des avantages de l'implantation de l'industrie 4.0 et une bonne vision de l'entreprise constituent des éléments plus importants que l'appétence
, Les experts notent que ce n'est pas « l'appétence » qui importe, mais que le dirigeant ne soit pas réfractaire à l'industrie 4.0. Le dirigeant sera convaincu si les premiers cas concrets donnent de bons résultats
, L'industrie 4.0 doit être avant tout exploitée pour répondre aux problèmes opérationnels des PME 41 % d'avis favorables, ITEM, vol.10
, Les experts sont mitigés concernant cette affirmation, même les avis favorables sont en vert clair
, Les avis défavorables précisent que l'affirmation « avant tout » est trop forte, l'industrie 4.0 adresse les problèmes opérationnels, mais aussi d'autres problèmes tels que la modification des modèles d'affaires par exemple. De même, l'industrie 4
, Un projet industrie 4.0 nécessite un profil, en tant que chef de projet, spécifique à l'industrie 4.0 (versus formation ingénieur
, D'après les experts un ingénieur multidisciplinaire est une clef pour la réussite de ces projets Un expert précise qu'en Allemagne, le choix d'oriente sur la sélection d'ingénieurs mécaniques que l'on forme à l'informatique ou à l'automatisation pour qu
, Les experts notent que certaines compétences sont nécessaires à la réussite : la curiosité, l'ouverture d'esprit. Les experts notent qu'il est important de connaître les métiers pour faire le lien entre outils et problématiques industriels
, ITEM 9 : L'industrie 4.0 doit être avant tout exploitée pour repenser les modèles d'affaires des PME