Diagnostic 4.0 du système physique de production : modèle de référence d’audit des gammes de production

Auteurs

DOI :

https://doi.org/10.53102/2021.35.01.858

Mots-clés :

audit et diagnostic, propriétés d’analyse, système physique de production, visualisation des connaissances

Résumé

L’industrie 4.0 est le résultat de la convergence entre l’industrie et le numérique. L’industrie 4.0 repose sur une relation homme-machine plus collaborative. Cette collaboration de type réseau est caractérisée par une communication continue et instantanée entre les moyens de productions et d’approvisionnement. Ce qui permet une surveillance continue d’éventuelles dérives de performance du système physique de production. Cependant, la qualité de cette nouvelle organisation en réseau des moyens de production dépend de la qualité des conditions initiales du système physique de production. Pour contribuer au diagnostic du système physique de production, ce papier propose un modèle de référence d’audit des gammes de production.

Biographies des auteurs

David Damand, Humanis EM Strasbourg

David Damand est Maitre de Conférences en science de gestion à l’EM Strasbourg (Université de Strasbourg) et chercheur au laboratoire HUMANIS. Il enseigne la gestion de production. Ses travaux de recherche portent sur l’aide à la décision en planification de système de production et sur la conception d’entrepôt logistique.

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Marc Barth, INSA-Strasbourg, Humanis EM Strasbourg

Marc Barth est maître de conférences habilité à diriger les recherches à l’INSA de Strasbourg et son laboratoire d’accueil est Humanis de l’EM Strasbourg. Ses travaux concernent la modélisation pour la conception et l’amélioration des systèmes de la supply chain.

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Abdellatif Dkhil, Université du Québec, Ecole de Technologie Supérieure, LIPPS

Abdehlatif Dhkil : est professeur associé en génie industriel à l’Ecole de Technologie Supérieur - Département de génie de la production automatisée (Université du Québec à Montreal, Canada) et chercheur au LIPPS (Laboratoire d’Ingénierie des Produits, Procédés et Systèmes). Ses recherches portent sur la conception de systèmes de production et la représentation de carte cognitives pour l’analyse.

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Références

Alfnes, E., & Martinsen, K. (2006, July 25-28). Modeling and design of flow manufacturing systems for SMEs [Paper presentation]. Proceedings of the 5th 3rd CIRP International Seminar on Intelligent Computations in Manufacturing Engineering, Ischia, Italy.

Amoako-Gyampah, K., & Acquaah, M. (2008). Manufacturing Strategy, Competitive Strategy, and Firm Performance: An Empirical Study in a Developing Economic Environment. International Journal of Production Economics, 111(2), 575-92. https://doi.org/10.1016/j.ijpe.2007.02.030 DOI: https://doi.org/10.1016/j.ijpe.2007.02.030

Bard, J.F., & Feo T.A. (1989). Operations Sequencing in Discrete Parts Manufacturing. Management Science, 35(2), 249-255. https://doi.org/10.1287/mnsc.35.2.249 DOI: https://doi.org/10.1287/mnsc.35.2.249

Barth, M., & De Guio R. (1999). Industrial Implementation of Production Flow Analysis. In IRANI S.A. (ed.) Handbook of Cellular Manufacturing Systems, John Wiley & Sons., (pp. 497-527). https://doi.org/10.1002/9780470172476.ch16 DOI: https://doi.org/10.1002/9780470172476.ch16

Barth, M., De Guio R., & Zhou J. (1998, August 9-12). A graph theoretic approach for the production line formation problem. Proceeding of the 2nd International Conference on Engineering Design and Automation, Maui, Hawaii.

Boctor, F.F. (1991). A linear formulation of the machine-part cell formation problem. International Journal of Production Research, 29(2), 343–356. https://doi.org/10.1080/00207549108930075 DOI: https://doi.org/10.1080/00207549108930075

Burbidge, J.L. (1989). Production flow analysis for planning group technology. Journal of Operations Management, 10(1), 5-27. https://doi.org/10.1016/0272-6963(91)90033-T DOI: https://doi.org/10.1016/0272-6963(91)90033-T

Card, S.K., Mackinlay, J.D., & Shneiderman, B. (1999). Readings in Information Visualization: Using Vision to Think. San Francisco, California: Morgan-Kaufmann Publishers.

CHANEGRIH, T., & CREUSIER, J. (2015). Le lean manufacturing dans l’industrie française : états des lieux et implications pratiques. Revue Française De Gestion Industrielle, 34(4), 59–71. https://doi.org/10.53102/2015.34.04.831 DOI: https://doi.org/10.53102/2015.34.04.831

Chi, E.H. (2000, October 9-10). Taxonomy of Visualization Techniques Using the Data State Reference Model. Proceedings of the IEEE Symposium on Information Visualization 2000. INFOVIS 2000, Salt Lake City, UT, USA. https://doi.org/10.1109/INFVIS.2000.885092 DOI: https://doi.org/10.1109/INFVIS.2000.885092

Damand, D., Gamoura, S., Barth, M., ‘Maturité du système physique de production : modèle de diagnostic 4.0’, CIGI-Qualita21 : Conférence Internationale Génie Industriel QUALITA- Grenoble, 5-7 mai 2021.

De Guio R., Barth, M. & Zhou, J. (1996, July 9-12). Checking Algorithms for the Weighted Feedback Arc Set problem with Order Constraints. Proceedings of the Symposium on modelling, analysis and simulation: CESA'96 IMACS multiconference, Computational engineering in systems applications, Lille, France.

De Guio, R., & Barth, M. (1999). Cell Formation Using Production Flow Analysis. In IRANI S.A. (ed.) Handbook of Cellular Manufacturing Systems, John Wiley & Sons., (pp. 69-111). https://doi.org/10.1002/9780470172476.ch16 DOI: https://doi.org/10.1002/9780470172476.ch3

Deb, S.K. & Bhattacharyya, B. (2002). Fuzzy decision support system for manufacturing facilities layout planning. Decision Support Systems, 40(2), 305– 314. https://doi.org/10.1016/j.dss.2003.12.007 DOI: https://doi.org/10.1016/j.dss.2003.12.007

Frank, J. & Massey, J.R. (1951). The Kolmogorov-Smirnov Test for Goodness of Fit. Journal of the American Statistical Association, 46(253), 68-78. https://doi.org/10.1080/01621459.1951.10500769 DOI: https://doi.org/10.1080/01621459.1951.10500769

Hicks, C. (2004). A Genetic Algorithm tool for designing manufacturing facilities in the capital goods industry. International Journal of Production Economics, 90(2), 199–211. https://doi.org/10.1016/S0925-5273(02)00467-X DOI: https://doi.org/10.1016/S0925-5273(02)00467-X

Hollier, R.H. (1963). The layout of Multi-Product Lines. International Journal of Production Research, 2(1), 47-57. https://doi.org/10.1080/00207546308947812 DOI: https://doi.org/10.1080/00207546308947812

Huang, H. & Irani, S.A. (2003, August 3-7). An enhanced systematic layout planning process for high-variety low-volume (HVLV) manufacturing facilities. Proceedings of the 17th International Conference on Production Research, Blacksburg, Virginia.

Irani, S. A., Zhang, H., Zhou, J., Huang, H., Udai, T. K. & Subramanian, S. (2000). Production Flow Analysis and Simplification Toolkit (PFAST), International Journal of Production Research, 38(8), 1855-1874. https://doi.org/10.1080/002075400188636 DOI: https://doi.org/10.1080/002075400188636

Kahn, A. B. (1962). Topological sorting of large network. In: Communications of the ACM, 5(11), 558-562.https://doi.org/10.1145/368996.369025 DOI: https://doi.org/10.1145/368996.369025

Kaparthi, S., Suresh, N.C. & Cerveny, R.P. (1993). An improved neural network leader algorithm for part-machine grouping in group technology. European Journal of Operational Research, 69(3), 342-356. https://doi.org/10.1016/0377-2217(93)90020-N DOI: https://doi.org/10.1016/0377-2217(93)90020-N

King, J.R. (1980). Machine-component grouping in production flow analysis: an approach using a rank order clustering algorithm. International Journal of Production Research, 18(2),213–232. https://doi.org/10.1080/00207548008919662 DOI: https://doi.org/10.1080/00207548008919662

Koren, Y., Hu J., & Weber T. (1998). Impact of Manufacturing System Configuration on Performance. CIRP Annals, 47(1), 369-372. https://doi.org/10.1016/S0007-8506(07)62853-4 DOI: https://doi.org/10.1016/S0007-8506(07)62853-4

Kusiak, A. (1987). The generalized group technology concept. International Journal of Production Research, 25(4), 561–569. https://doi.org/10.1080/00207548708919861 DOI: https://doi.org/10.1080/00207548708919861

Lee, D H., Kiritis, D., & Xirouchakis, P. (2001). Search heuristics for operation sequencing in process planning. International Journal of Production Research, 39(16), 3771-3788. https://doi.org/10.1080/00207540110061922 DOI: https://doi.org/10.1080/00207540110061922

Lee, D.H., Kiritsis, D., & Xirouchakis, P. (2004). Iterative approach to operation selection and sequencing in process planning. International Journal of Production Research. 42 (22), 4745-4766. https://doi.org/10.1080/00207540410001720412 DOI: https://doi.org/10.1080/00207540410001720412

Leone, G. & Rahn, R.D (2002). Fundamentals of flow manufacturing. Flow publishing Inc. Boulder, Colorado, USA.

Lyonnet, B., & Messaoudene, Z. (2012). Relations entre les pratiques de management et le système lean opérationnel d’entreprises françaises. Revue Française De Gestion Industrielle, 31(2), 63–82. https://doi.org/10.53102/2012.31.02.655 DOI: https://doi.org/10.53102/2012.31.02.655 [RFGI]

Mahesh, O. & Srinivasan, G. (2002)., Incremental cell formation considering alternative machines. International Journal of Production Research, 40 (14), 3291-3310. https://doi.org/10.1080/00207540210146189 DOI: https://doi.org/10.1080/00207540210146189

Mayr, A., Weigelt, M., Kühl, A., Grimm, S., Erll, A., Potzel, M., & Franke, J. (2018). Lean 4.0 - A conceptual conjunction of lean management and Industry 4.0. In Procedia CIRP, Volume 72 (pp. 622–628). Stockholm, Sweden. https://doi.org/10.1016/j.procir.2018.03.292 DOI: https://doi.org/10.1016/j.procir.2018.03.292

Muther, R. (1973). Systematic Layout Planning. 2nd Edition, Cahners Books, Boston.

Nicoletti B. (2013). Lean and Automate Manufacturing and Logistics. In: Prabhu V., Taisch M., Kiritsis D. (eds) Advances in Production Management Systems. Sustainable Production and Service Supply Chains. APMS 2013. IFIP Advances in Information and Communication Technology, vol 415. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41263-9_34 DOI: https://doi.org/10.1007/978-3-642-41263-9_34

Olhager, J. (2013). Evolution of Operations Planning and Control: From Production to Supply Chains. International Journal of Production Research, 51 (23–24), 6836–6843. https://doi.org/10.1080/00207543.2012.761363 DOI: https://doi.org/10.1080/00207543.2012.761363

Phillips, E.J. (1997). Manufacturing Plant Layout: Fundamentals and Fine Points of Optimum Facility Design. Dearborn, MI: Society of Manufacturing Engineers.

Raoot, A.D. & Rakshit, A. (1993). "A 'linguistic pattern' approach for multiple criteria facility layout problems", International Journal of Production Research, 31(1), 203-222. https://doi.org/10.1080/00207549308956721 DOI: https://doi.org/10.1080/00207549308956721

Real, R., Pralus, M., Pillet, M., & Guizzi, L. (2010). Une première étape vers le Lean dans les entreprises de sous-traitance mécanique, retour sur 7 ans de pratique. Revue Française De Gestion Industrielle, 29(1), 71–86. https://doi.org/10.53102/2010.29.01.619 DOI: https://doi.org/10.53102/2010.29.01.619 [RFGI]

Rouse, P. & Putterill, M. (2003). An integral framework for performance measurement. Management Decision, 41(8), 791-805. https://doi.org/10.1108/00251740310496305 DOI: https://doi.org/10.1108/00251740310496305

Sarker, B.R. & Xu, Y. (2000). " Designing multi-product lines: job routing in cellular manufacturing systems ", IIE Transactions. 32(3), 219-235. https://doi.org/10.1080/07408170008963894 DOI: https://doi.org/10.1080/07408170008963894

Selim, H.M., Askin, R.G., Vakharia, A.J. (1998). "Cell formation in group technology: review, evaluation and directions for future research", Computers & Industrial Engineering, 34(1), 3-20. https://doi.org/10.1016/S0360-8352(97)00147-2 DOI: https://doi.org/10.1016/S0360-8352(97)00147-2

Singh, S.P & Sharma, R.R.K. (2006). A review of different aproaches to the facility layout problem, The International Journal of Advanced Manufacturing Technology, 30, 425-433. https://doi.org/10.1007/s00170-005-0087-9 DOI: https://doi.org/10.1007/s00170-005-0087-9

Srinivasan, G., Narendran, T.T. & Mahadevan, B. (1990). An assignment model for the part-families problem in Group Technology. International Journal of Production Research, 28(1), 145–152. https://doi.org/10.1080/00207549008942689 DOI: https://doi.org/10.1080/00207549008942689

Tompkins, J. A., White, J. A., Bozer, Y. A., & Tanchoco, J. M. A. (2010). Facilities planning. 4th Edition, John Wiley & Sons.

Yin, Y., & Yasuda, K. (2006). Similarity coefficient methods applied to the cell formation problem: A taxonomy and review. International Journal of Production Economics, 101(2), 329–352. https://doi.org/10.1016/j.ijpe.2005.01.014 DOI: https://doi.org/10.1016/j.ijpe.2005.01.014

Zhou, J., & Irani S. A. (2003). New flow diagramming scheme for mapping and analysis of multi-product flows in facility. Journal of Integrated Design and Process Science, 7(1), 25-58. https://content.iospress.com/articles/journal-of-integrated-design-and-process-science/jid7-1-03

Zhou J., Barth, M. & De Guio R. (1996). Quasi-source heuristic for the production line formation of manufacturing system. IEEE International Conference on Systems, Man and Cybernetics. Information Intelligence and Systems (Cat. No.96CH35929), 4, pp. 3009-3014. https://doi.org/10.1109/ICSMC.1996.561444. DOI: https://doi.org/10.1109/ICSMC.1996.561444

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Publiée

11-11-2021

Soumis

30-06-2021

Comment citer

Damand, D., Barth, M., & Dkhil, A. (2021). Diagnostic 4.0 du système physique de production : modèle de référence d’audit des gammes de production. Revue Française De Gestion Industrielle, 35(1), 24–39. https://doi.org/10.53102/2021.35.01.858

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