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Статті в журналах з теми "Prise de décision en maintenance":
Anh, Hoang, Phuc Do, Benoît Iung, Eric Levrat, and Alexandre Voisin. "Considération d’un indicateur d’efficacité énergétique pour la prise de décision en maintenance. De sa définition au fondement de son pronostic." Journal Européen des Systèmes Automatisés 49, no. 4-5 (October 28, 2016): 559–78. http://dx.doi.org/10.3166/jesa.49.559-578.
Racy, Emmanuel, and Elvire Le Norcy. "Protocole orthodontique et chirurgical : systématisation de la consultation d'annonce et apport de la médecine intégrative." L'Orthodontie Française 88, no. 4 (December 2017): 367–75. http://dx.doi.org/10.1051/orthodfr/2017031.
Drevon, Elsa, Dominique Maurel, and Christine Dufour. "Veille stratégique et prise de décision : une revue de la littérature." Documentation et bibliothèques 64, no. 1 (March 8, 2018): 28–34. http://dx.doi.org/10.7202/1043720ar.
Auclair, René. "Valeurs, prise de décision et action sociale. Recherche de valeurs : nature et approches. Recension des écrits américains." Service social 44, no. 1 (April 12, 2005): 5–48. http://dx.doi.org/10.7202/706679ar.
Allain, Philippe. "Neuropsychologie et prise de décision." Revue de neuropsychologie 5, no. 2 (2013): 67. http://dx.doi.org/10.3917/rne.052.0067.
Adida, M., M. Maurel, A. Kaladjian, E. Fakra, P. Lazerges, D. Da Fonseca, R. Belzeaux, M. Cermolacce, and J. M. Azorin. "Prise de décision et schizophrénie." L'Encéphale 37 (December 2011): S110—S116. http://dx.doi.org/10.1016/s0013-7006(11)70036-7.
Allain, Philippe. "Neuropsychologie et prise de décision." Revue de neuropsychologie Volume 5, no. 2 (August 1, 2013): 67–68. http://dx.doi.org/10.1684/nrp.2013.0256.
Forner, Yann, and Pierre Vrignaud. "Décision d’orientation assistée par ordinateur : l’apport de l’informatique à l’analyse des processus." L’Orientation scolaire et professionnelle 25, no. 1 (1996): 31–55. http://dx.doi.org/10.3406/binop.1996.1132.
IFOURAH, Hocine, and Tayeb CHABI. "information comptable et financière face à la prise de décision dans les entreprises Algériennes." Journal of Academic Finance 11, no. 1 (June 30, 2020): 104–21. http://dx.doi.org/10.59051/joaf.v11i1.394.
Dugas, Marylène, and Nils Chaillet. "Enquête qualitative sur la prise de décision en obstétrique : le choix du mode d’accouchement après césarienne." Reflets 17, no. 2 (September 6, 2012): 77–100. http://dx.doi.org/10.7202/1012130ar.
Дисертації з теми "Prise de décision en maintenance":
Cherkaoui, Hajar. "Vers une prise de décision robuste en maintenance conditionnelle." Thesis, Troyes, 2017. http://www.theses.fr/2017TROY0040.
This thesis is a contribution to robust decision making in maintenance of systems subject to gradual degradation. Our first contribution is to develop a criterion allowing the joint evaluation of the mean economic performance and the robustness of different types of maintenance strategies. The advantage of the proposed criterion is that it adapts to different types of maintenance strategies and provides access to a simple and relevant evaluation model. The second contribution is devoted to the development and the evaluation of a joint maintenance and spares parts management strategy that applies to multi-component systems with different qualities. For the proposed joint strategy, prognostic indicator is used for both maintenance and procurement decision-making. The evaluation criterion proposed above is used for the evaluation of this policy as well. The third contribution corresponds to the proposal of two conditional maintenance strategies with hybrid inspections for the maintenance of multi-component systems with different and unknown qualities. For the strategies proposed, online monitoring information is used to disclose the quality of system components to be maintained using statistical techniques of classification and estimation
Thomas, Edouard. "Contribution à la prise de décision dynamique en maintenance prévisionnelle par formalisation d'un principe d'opportunité." Phd thesis, Université Henri Poincaré - Nancy I, 2009. http://tel.archives-ouvertes.fr/tel-00420000.
Ces nouvelles formes de maintenance posent de nombreux défis scientifiques et industriels, dont certains sont étudiés dans les présents travaux : Quel est le " meilleur " instant pour réaliser une intervention de maintenance préventive donnée ? Comment regrouper deux actions de maintenance préventive ? Qu'est-ce qu'une opportunité pour la maintenance ?
Les réponses à ces questions mobilisent des outils mathématiques variés, allant de l'algorithme de Bruss en analyse stochastique aux relations d'équivalence en algèbre.
Enfin, une application industrielle sur la plateforme TELMA est présentée.
Huynh, Khac Tuan. "Quantification de l'apport de l'information de surveillance dans la prise de décision en maintenance." Phd thesis, Université de Technologie de Troyes, 2011. http://tel.archives-ouvertes.fr/tel-00788661.
Huynh, Khac Tuan. "Qualification de l'apport de l'information de surveillance dans la prise de décision en maintenance." Troyes, 2011. http://www.theses.fr/2011TROY0013.
Condition and health monitoring can bring out useful information for the maintenance decision-making but few models allow their integration in the decision process. This thesis aims to construct new probabilistic quantitative models to evaluate the value of this kins of information depending on ith quality and on the nature of the observed variables. The proposed stochastic failure and measurement models take account the degradation/failure sensor data, the impact of operational environment on the degradation, as well as the nature of control techniques. Based on these models, we propose different maintenance policies and we develop the associated cost model to study the best methods for the exploitation of monitoring information. The studies in this thesis show the advantage of developing quantitative maintenance decision framework which allows integrating and evaluating the impact of condition monitoring information on the performance of maintenance operations
Hoang, Anh. "Pronostic de la performance d’Efficacité Energétique pour la prise de décision en maintenance dans les systèmes industriels." Thesis, Université de Lorraine, 2017. http://www.theses.fr/2017LORR0086/document.
Among sustainability consideration, energy is today the key for economic growth in industrial systems. Energy resources are however limited and becomes more and more expensive. The energy optimization of manufacturing systems must therefore be considered as a major challenge to be compliant with environmental impact and management of energy resources. This should be reflected primarily by using energy efficiency (EE) as main key lever to deploy sustainability to plants, i.e. reduce the amount of energy required to provide products and services. With regards to this EE context, the aim of this thesis is to investigate the problem of considering energy efficiency and its prediction as a new indicator in maintenance decision-making. In that way, we develop first a concept of energy efficiency, called EEI (energy efficiency indicator), applicable to the different levels of abstraction of an industrial system. Then, we propose a generic formulation to evaluate the EEI (and its evolution) taking into account static and dynamic factors of influence. The temporal evolution of this indicator with respect to the degradation of the system is addressed in a predictive maintenance objective. It leads to found an energy efficiency performance concept called REEL (remaining energy-efficient lifetime), representing the residual energy lifetime. To predict the potential evolution of the IEE to calculate REEL, a generic approach based on existing predictive approaches is also developed. Next, we investigate the use of EE in CBM maintenance decision-making. Finally, all these contributions are validated on the TELMA platform
Le, Son Khanh. "Modélisation probabiliste du pronostic : application à un cas d'étude et à la prise de décision en maintenance." Troyes, 2012. http://www.theses.fr/2012TROY0035.
Remaining useful life (RUL) estimation is a major scientific challenge and a principal topic in the scientific community which takes an interest to prognosis problems. The use of tools and methods collected under the terms of prognostic is widely developed in many domains as aerospace industry, electronics, medicine, etc. The common underlying problem is the implementation of models which can take into account on-line the data histories of system and its environment, the diagnosis on its current state and possibly the future operational conditions for predicting the residual lifetime. In this context, the principal problem of our works is the use of probabilistic approaches (type of non-stationary stochastic process) to construct the innovatory prognostic models from a degradation indicator of system and to use the residual lifetime prediction for maintenance implementation. The advantage of these models is to have the regularity proprieties which make easy the probability calculation and RUL estimation. In order to test the performances of our models, a comparative study is carried out on the data provided by the 2008 IEEE Prognostic and Health Management (PHM)
Hoang, Anh. "Pronostic de la performance d’Efficacité Energétique pour la prise de décision en maintenance dans les systèmes industriels." Electronic Thesis or Diss., Université de Lorraine, 2017. http://www.theses.fr/2017LORR0086.
Among sustainability consideration, energy is today the key for economic growth in industrial systems. Energy resources are however limited and becomes more and more expensive. The energy optimization of manufacturing systems must therefore be considered as a major challenge to be compliant with environmental impact and management of energy resources. This should be reflected primarily by using energy efficiency (EE) as main key lever to deploy sustainability to plants, i.e. reduce the amount of energy required to provide products and services. With regards to this EE context, the aim of this thesis is to investigate the problem of considering energy efficiency and its prediction as a new indicator in maintenance decision-making. In that way, we develop first a concept of energy efficiency, called EEI (energy efficiency indicator), applicable to the different levels of abstraction of an industrial system. Then, we propose a generic formulation to evaluate the EEI (and its evolution) taking into account static and dynamic factors of influence. The temporal evolution of this indicator with respect to the degradation of the system is addressed in a predictive maintenance objective. It leads to found an energy efficiency performance concept called REEL (remaining energy-efficient lifetime), representing the residual energy lifetime. To predict the potential evolution of the IEE to calculate REEL, a generic approach based on existing predictive approaches is also developed. Next, we investigate the use of EE in CBM maintenance decision-making. Finally, all these contributions are validated on the TELMA platform
Kaffel, Hédi. "La maintenance distribuée : concept, évaluation et mise en oeuvre." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp05/NQ66689.pdf.
Robert, Elodie. "Gestion de l'état de santé de véhicules pour la maintenance de flotte : prise en compte des contraintes opérationnelles et optimisation conjointe des maintenances et des missions." Thesis, Université Grenoble Alpes (ComUE), 2019. http://www.theses.fr/2019GREAT098.
This thesis work deals with the problems of joint scheduling for maintenance operations and missions for industrial vehicle fleets. The aim is to develop a methodology to adapt the joint scheduling of maintenance and missions according to the vehicles health state but also according to the missions features. These features correspond to the conditions of usage severity that have a significant impact on the truck deterioration and must be taken into account to adapt at best the maintenance operations schedule according to the deterioration evolution. The implementation of a decision support methodology to manage a fleet would improve productivity and reduce the maintenance costs while making the most of the fleet capacity. However, the joint scheduling problem for a fleet is a complex problem to solve and three main dimensions has to be considered. The first one is to jointly schedule missions and maintenance operations in a static case. The second one is to integrate the available monitoring information and the different events that can occur to update the schedule and treat the problem in a dynamic way. The third dimension is the fleet dimension that involves managing several vehicles in parallel.The first step is to jointly schedule the maintenance activity and the missions for a truck in a static case. It is assumed that all the missions to be performed are known and that no monitoring information is available. To do this, a vehicle deterioration model is defined to estimate its remaining useful lifetime to make decisions. It is a model with varying parameters since the vehicle operates under different conditions of usage severity according to the missions. It is the central point for setting up a scheduling algorithm to avoid any excessive risk of failure. The scheduling process is naturally optimized according to a criterion based on either the maintenance costs or the operating incomes.Once this methodology has been defined, it must be completed to include information on the vehicle deterioration, failure occurrences and new missions that may be requested. A dynamic approach has then been developed to solve the scheduling problem for a vehicle. If a breakdown occurs, the schedule must be updated because it is no longer adapted to the evolution of the current vehicle deterioration. Likewise, when a new mission is available, an update is essential because the priority order of the missions, defined by their deadlines, must be considered as soon as possible to avoid delay penalties. On the other hand, deterioration information can have a varying influence on the current schedule. Then, the schedule robustness has to be studied to avoid changing the mission order and the maintenance dates too often.The last step is to integrate the fleet dimension in the decision-making process. It is no longer just a question of mission order and timing for maintenance operations, but also of deciding which vehicle is assigned to which mission. The decision-making process then depends on the whole fleet. An analysis of the impact of considering the fleet dimension in the static case and then in the dynamic case is led.Simulation results are used to illustrate the developed methods and aim at showing their interest and the cost savings they generate
Fabbe-Costes, Nathalie. "Aléa et modélisation de la décision logistique : réalisation d'un système expert de maintenance au coeur de l'efficience du passage portuaire à Marseille-Fos." Aix-Marseille 2, 1989. http://www.theses.fr/1989AIX24002.
The generalisation of the logistic policy in organizing container chains which the very nature a such a transport system enables, entails a complete re-evaluation of port status and demands a new approach of transport production, namely of the handling. As a basic element of port passage and as service production, handling must be satisfactory in terms of container circulation quality -rapidity, reliability, rate. Also, handling must be synchronised with the connected links of the chains. A detailed analysis of quayside production -a crucial operation in port handling shows that there is a need for o more adapted management : exploitation and maintenance should be regarded as the two productive aspects of the activity; on the other hand, quayside production should be integrated so that the global efficiency of actions can be evaluated at the strategic level of "port production". Within this management approach, the development of the maintenance function as an effective logistic support allows a technical and economic control of quayside production. In this aim, the improvement of intervention methods during and off exploitation will guarantee control of hazards and of technical production costs and allow a more scientific management of equipment -of unloading cranes especially. .
Книги з теми "Prise de décision en maintenance":
Sfez, Lucien. La décision. 4th ed. Paris: Presses universitaires de France, 2004.
Moch, Raymond. INFORMATISER LA PRISE DE DÉCISION ? Paris: Editions L'Harmattan, 2003.
Charreton, Raoul. La décision économique. Paris: Presses universitaires de France, 1985.
Proulx, Raymonde. La prise de décisions. Saint-Laurent, Qué: Éditions du Trécarré, 1989.
Dufourmantelle, Pierre. Prendre une décision: Tout un art. Paris: Chotard, 1991.
Watson, Stephen R. Decision synthesis: The principles and practice of decision analysis. Cambridge [Cambridgeshire]: Cambridge University Press, 1987.
Naegel, Paul. Face à la non-décision: Que faire? Paris: Éditions hommes et techniques, 1987.
Junod, Alain F. Décision médicale ou la quête de l'explicite. Paris: Editions Médecine & Hygiène, 2003.
Arend, Sylvie. Le processus politique: Environnements, prise de décision et pouvoir. Ottawa, Ont: Presses de l'Université d'Ottawa, 2000.
Programme, Multinational Enterprises. La prise de décision de restructuration dans les multinationales. Geneva: International Labour Office, 1986.
Частини книг з теми "Prise de décision en maintenance":
Terver, S., F. Martins-Condé, and B. Leblanc. "La prise de décision." In Orthopédie-traumatologie de la personne âgée fragile, 431–41. Paris: Springer Paris, 2013. http://dx.doi.org/10.1007/978-2-8178-0377-7_35.
Lécuru, F., M. A. Le Frère Belda, A. S. Bats, C. Bensaid, M. Junger, F. Larousserie, and C. Nos. "Prise de décision face à des atypies glandulaires." In Traité des infections et pathologies génitales à papillomavirus, 251–56. Paris: Springer Paris, 2007. http://dx.doi.org/10.1007/978-2-287-72066-6_30.
Gilomen, Hans-Jörg. "La prise de décision en matière d’emprunts dans les villes suisses au 15e siècle." In Urban public debts, urban government and the market for annuities in Western Europe (14th-18th centuries), 127–48. Turnhout: Brepols Publishers, 2003. http://dx.doi.org/10.1484/m.seuh-eb.3.1945.
Ikène-Thiers, M., and J. M. Thiers. "Impact sur les soignants paramédicaux de la prise de décision des limitations thérapeutiques en neuroréanimation." In Enjeux éthiques en réanimation, 231–36. Paris: Springer Paris, 2010. http://dx.doi.org/10.1007/978-2-287-99072-4_26.
Mourey, N. "Impact sur les soignants paramédicaux de la prise de décision des limitations thérapeutiques en réanimation adulte." In Enjeux éthiques en réanimation, 227–30. Paris: Springer Paris, 2010. http://dx.doi.org/10.1007/978-2-287-99072-4_25.
Tsopra, Rosy, Alain Venot, and Catherine Duclos. "Conception d’une interface pour favoriser la prise en compte des recommandations lors de la décision d’une antibiothérapie probabiliste." In Informatique et Santé, 203–14. Paris: Springer Paris, 2011. http://dx.doi.org/10.1007/978-2-8178-0285-5_18.
Christianos, Vassili. "La diversité de la culture juridique européenne et la prise de décision au sein de la Cour de justice de l’Union européenne." In The Court of Justice and the Construction of Europe: Analyses and Perspectives on Sixty Years of Case-law - La Cour de Justice et la Construction de l'Europe: Analyses et Perspectives de Soixante Ans de Jurisprudence, 561–67. The Hague, The Netherlands: T. M. C. Asser Press, 2012. http://dx.doi.org/10.1007/978-90-6704-897-2_30.
"Préférence, fonction d’utilité et aversion au risque." In Prise de décision financière, 9–18. Presses de l'Université Laval, 2021. http://dx.doi.org/10.2307/jj.5024385.4.
"Séparation en fonds et modèles factoriels." In Prise de décision financière, 53–70. Presses de l'Université Laval, 2021. http://dx.doi.org/10.2307/jj.5024385.8.
"Table of Contents." In Prise de décision financière, 3–6. Presses de l'Université Laval, 2021. http://dx.doi.org/10.2307/jj.5024385.2.
Тези доповідей конференцій з теми "Prise de décision en maintenance":
Hauret, Daniel, Régis Mollard, and Marion Wolff. "De la gestion du risque fatigue à la prise de décision collaborative." In the 2012 Conference. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2652574.2653408.
Duhamel, Rémi, Alexis Clay, Chloé Morel, Morgane Burgues, Stéphanie Philippe, Marion Wolff, and Régis Mollard. "Conception centrée utilisateur d’un environnement virtuel pour la prise de décision collaborative : état de l’art pluridisciplinaire et analyse des besoins." In ErgoIA'2021: 17ème Conférence en Ergonomie et Informatique Avancée. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3486812.3486834.
Sprauel, J., C. Sannino, and C. Seguin. "Techniques d’aide à la décision appliquées à la maintenance d’un avion de type Business Jet." In Congrès Lambda Mu 19 de Maîtrise des Risques et Sûreté de Fonctionnement, Dijon, 21-23 Octobre 2014. IMdR, 2015. http://dx.doi.org/10.4267/2042/56092.
Blondel, J., L. Marle, O. Mozar, A. Abdesselam, F. Brissaud, and B. Declerck. "Aide à la décision pour l’optimisation de la maintenance des stations de compression de gaz naturel." In Congrès Lambda Mu 19 de Maîtrise des Risques et Sûreté de Fonctionnement, Dijon, 21-23 Octobre 2014. IMdR, 2015. http://dx.doi.org/10.4267/2042/56078.
Castanier, Bruno, Wenjin Zhu, and Belgacem Bettayeb. "Un outil d'aide à la décision pour la planification des opérations de maintenance d'une éolienne offshore." In Congrès Lambda Mu 20 de Maîtrise des Risques et de Sûreté de Fonctionnement, 11-13 Octobre 2016, Saint Malo, France. IMdR, 2016. http://dx.doi.org/10.4267/2042/61731.
Morel, B., S. Valmary-Degano, and S. Koch. "Prise de décision en réunion de concertation pluridisciplinaire pour les polypes coliques dégénérés: étude qualitative rétrospective des comptes-rendus d'endoscopie et d'anatomopathologie sur une période de deux ans en région «Franche-Comté»." In Journées Francophones d'Hépato-Gastroentérologie et d'Oncologie Digestive (JFHOD). Georg Thieme Verlag KG, 2018. http://dx.doi.org/10.1055/s-0038-1623439.
Звіти організацій з теми "Prise de décision en maintenance":
Concina, Laura. Attitude face au risque & Sciences économiques. Fondation pour une culture de sécurité industrielle, May 2014. http://dx.doi.org/10.57071/337arf.
Laroche, Hervé, and Véronique Steyer. L’apport des théories du sensemaking à la compréhension des risques et des crises. Fondation pour une culture de sécurité industrielle, October 2012. http://dx.doi.org/10.57071/208snv.
Cheng, Yeeva, and Cara Kraus-Perrotta. L’élaboration de la liste de contrôle pour les politiques A3. Population Council, 2022. http://dx.doi.org/10.31899/sbsr2022.1017.
Cheng, Yeeva, and Cara Krause-Perrotta. Guide d’utilisation de la liste de contrôle de la politique A3. Population Council, 2022. http://dx.doi.org/10.31899/sbsr2022.1021.
Jacob, Steve, and Sébastien Brousseau. L’IA dans le secteur public : cas d’utilisation et enjeux éthiques. Observatoire international sur les impacts sociétaux de l'IA et du numérique, May 2024. http://dx.doi.org/10.61737/fcxm4981.
Bouguerra, Zohra, Neus Tirado, Ahmed Ben Nejma, Maleke Dridi, Soufia Galand, and Sarah Baraket. Et s'il y avait une grève dans les foyers ? Étude sur l’impact du travail de soins non rémunéré sur les femmes vivant en Tunisie : accès au travail, autonomisation économique et bien-être. Oxfam, January 2020. http://dx.doi.org/10.21201/2020.8700.
Gruber, Verena, Ingrid Peignier, and Charlotte Dubuc. Pratiques et tactiques de vente des concessionnaires automobiles au Québec. CIRANO, October 2023. http://dx.doi.org/10.54932/bryk4403.
Élaboration du tableau de bord A3 des indicateurs relatifs aux adolescents et du tableau de bord des écarts entre les sexes. Population Council, 2022. http://dx.doi.org/10.31899/sbsr2022.1015.