Tesi sul tema "Stratégies de maintenance intégrée à la production"
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Bouzoubaa, Maryem. "Stratégies de maintenance intégrée à la production d'énergie dans un parc éolien sous contraintes opérationnelles et environnementales". Electronic Thesis or Diss., Université de Lorraine, 2021. https://docnum.univ-lorraine.fr/public/DDOC_T_2021_0351_BOUZOUBAA.pdf.
Globally, the development of wind farms is experiencing exceptional growth, visible through the increase of wind power installed annually and global wind power production. 2020 was the best year in the history of the global wind industry and it is estimated that wind turbine installation should grow three times faster over the next decade. Any energy production system is subject to random breakdowns which trouble production plans. Aging, breakdowns and maintenance times are examples of random phenomena often observed in those systems. In the particular case of wind turbines, the highly volatile and uncertain nature of the wind means that the duration of maintenance actions must be minimized in order to maximize the availability of the wind turbine and therefore its energy production. In addition to this, the risks associated with maintenance make it the major cause of accidents in the wind energy sector. Considering the lack of training for maintenance technicians and the absence of a prevention plan, a maintenance plan optimizing the number of interventions and their duration and considerably reducing the technical, economic and human consequences linked to these operations is essential. Maintenance and production are two main functions for any type of production. In practice, these two functions are often managed separately despite being in reality so close. Indeed, integration policies can improve productivity and reduce costs considerably. In this context, the research work proposed in this thesis consists in determining new maintenance policies integrated into energy production for a wind farm. Two integrated maintenance strategies were tested: perfect then combined imperfect / selective coupled to energy production, satisfying a service rate while taking into account environmental and operational constraints and. Indeed, for each strategy developed, the goal is to simultaneously determine an economical energy production plan and an optimal maintenance plan minimizing a total cost of energy production and maintenance. The particularity of this study is to consider the impact of the variation in energy production on the degradation of the wind turbine. The problem was modeled by the development and optimization of analytical models, then validated by numerical examples and sensitivity studies proving the robustness of the analytical models developed
Ayed, Souheil. "Contribution au développement des stratégies de gestion de maintenance intégrée faisant appel à la sous-traitance". Thesis, Metz, 2011. http://www.theses.fr/2011METZ038S/document.
The general study framework is built around the maintenance management integrated with the production, taking into account the constraint of subcontracting. Our research specifically addresses the economic management of the production delivery from one or more subcontractors that differ in their availability and cost per unit of production. The economic study consists in minimizing the total cost including production, inventory and maintenance. Our study will be conducted along two axes. In a first axis, we consider a constant demand on an infinite time horizon. An analytical study is conducted to determine the maintenance policy to be adopted and the choice between several subcontractors. In a second axis, we considered a random request to accommodate over a finite time. This application must be met in a required level of service by using outsourcing while assuming that the failure rate of the main machine varies with use and time. The objective was to propose an optimal production maintenance plan that satisfies the level of service and taking into account the deterioration of the machine while minimizing production, inventory and maintenance costs. The analytical models developed in the two axes are validated by numerical examples and interpreted through sensitivity studies
Ayed, Souheil. "Contribution au développement des stratégies de gestion de maintenance intégrée faisant appel à la sous-traitance". Electronic Thesis or Diss., Metz, 2011. http://www.theses.fr/2011METZ038S.
The general study framework is built around the maintenance management integrated with the production, taking into account the constraint of subcontracting. Our research specifically addresses the economic management of the production delivery from one or more subcontractors that differ in their availability and cost per unit of production. The economic study consists in minimizing the total cost including production, inventory and maintenance. Our study will be conducted along two axes. In a first axis, we consider a constant demand on an infinite time horizon. An analytical study is conducted to determine the maintenance policy to be adopted and the choice between several subcontractors. In a second axis, we considered a random request to accommodate over a finite time. This application must be met in a required level of service by using outsourcing while assuming that the failure rate of the main machine varies with use and time. The objective was to propose an optimal production maintenance plan that satisfies the level of service and taking into account the deterioration of the machine while minimizing production, inventory and maintenance costs. The analytical models developed in the two axes are validated by numerical examples and interpreted through sensitivity studies
Mifdal, Lahcen. "Contribution au développement de politiques de maintenance intégrée pour un système à multi-produits". Thesis, Université de Lorraine, 2014. http://www.theses.fr/2014LORR0334.
Currently, the competition between companies is reflected in the revision of the current industry strategies to improve the planning of production and maintenance. In fact, the non- satisfaction of the customer on time is often due to a random demand or a sudden failure of production system. Therefore, it is necessary to develop new maintenance and production strategies. In this memory, we treat some maintenance policies integrated with production for a manufacturing system. This paper deals with the problem of maintenance strategy and production planning for a multiple-product manufacturing system. The manufacturing system under consideration consists of one machine which produces several products in order to satisfy random demands corresponding to every product. The significance of the present study is that the study deals with the case of a system which produces several products. In this study we have developed and optimized analytically production policies for a multiple-product manufacturing system, in order to meet several random requests characterizing respectively different customers. These policies consist of establishing periodic production plans for each product, minimizing the costs of production and storage while meeting predefined service level for each product. Subsequently, we have developed optimal strategies of maintenance, taking into account the influence of economic production plans obtained, on the evolution of the degradation of the production system. Several scenarios have been studied according to the durations of the sub-periods of production and the cost of set-up of each product. In the end, case studies were treated in order to compare the developed analytical results
Mifdal, Lahcen. "Contribution au développement de politiques de maintenance intégrée pour un système à multi-produits". Electronic Thesis or Diss., Université de Lorraine, 2014. http://www.theses.fr/2014LORR0334.
Currently, the competition between companies is reflected in the revision of the current industry strategies to improve the planning of production and maintenance. In fact, the non- satisfaction of the customer on time is often due to a random demand or a sudden failure of production system. Therefore, it is necessary to develop new maintenance and production strategies. In this memory, we treat some maintenance policies integrated with production for a manufacturing system. This paper deals with the problem of maintenance strategy and production planning for a multiple-product manufacturing system. The manufacturing system under consideration consists of one machine which produces several products in order to satisfy random demands corresponding to every product. The significance of the present study is that the study deals with the case of a system which produces several products. In this study we have developed and optimized analytically production policies for a multiple-product manufacturing system, in order to meet several random requests characterizing respectively different customers. These policies consist of establishing periodic production plans for each product, minimizing the costs of production and storage while meeting predefined service level for each product. Subsequently, we have developed optimal strategies of maintenance, taking into account the influence of economic production plans obtained, on the evolution of the degradation of the production system. Several scenarios have been studied according to the durations of the sub-periods of production and the cost of set-up of each product. In the end, case studies were treated in order to compare the developed analytical results
Kibbou, El Mehdi. "Contribution à la modélisation thermomécanique des vibrations en coupe oblique et à l'établissement d'un plan optimal de maintenance intégré à la production tenant compte des conditions d'usinage". Electronic Thesis or Diss., Université de Lorraine, 2021. http://www.theses.fr/2021LORR0234.
In this study, we are interested in a machining production system which is one of the manufacturing processes most adopted by the various mechanical industries (automotive, aviation…etc.). The objective of this multidisciplinary thesis (Mechanics and Industrial Engineering) is double: (1) the development of a new thermomechanical model of oblique cutting in dry machining and (2) the maximization of profit in order to establish a strategy production and a preventive maintenance plan.The coupling between the machining operation and the part "simultaneous optimization of production and maintenance costs" is done by considering the effect of cutting conditions on the generated surface quality and on the tool wear. In the proposed approach, wear is taken into account through Taylor's empirical law and the machined surface quality is predicted via a new model of vibrations in oblique cutting.The first objective of this work concerns the development of a new thermomechanical model of the oblique cutting with vibration. In this analytical cutting model, the vibratory system is assimilated to a system with a single degree of freedom in the tool feed direction. We take into account the coupling between tool oscillations, the thermomechanical process of chip formation as well as the regenerative effect. The latter results from the variation in the material quantity to be machined between two successive passes. The coupling between all of these mechanisms makes the problem to be solved strongly nonlinear. A resolution algorithm making it possible to reduce the computation time has been implemented.The second objective of the thesis is achieved through the development of an analytical model where the optimization consists in maximizing a profit integrating selling price of finished product, production and maintenance costs. We note the originality of this part consists in considering the impact of the machining conditions, especially the cutting speed, on the production durations and costs, the quality of the machined parts as well as the degradation of the production system. The impact of machining conditions on three fundamental aspects is therefore considered simultaneously for the "simultaneous optimization of production and maintenance costs" part. The first concerns the impact of machining conditions on production time and costs. The second concerns the impact on the degradation of the machining system and therefore on the optimal maintenance plan to be adopted. The third concerns the impact on the quality of the output product which directly affects the selling costs and more specifically the total profit. These interactions are taken into account through the development of an analytical model to establish an optimal integrated production maintenance plan for the machining system, illustrated by the optimal switching date for changing cutting speed and the optimal numbers of batches to produce before every preventive maintenance action for every production phase. Every production phase is characterized by a cutting speed
Beit, Mounir. "Planification de la production et des stratégies de maintenance des systèmes de production". Mémoire, École de technologie supérieure, 2004. http://espace.etsmtl.ca/705/1/BEIT_Mounir.pdf.
Boulet, Jean-François. "Optimisation simultanée des processus de production et des stratégies de maintenance". Mémoire, École de technologie supérieure, 2007. http://espace.etsmtl.ca/560/1/BOULET_Jean%2DFran%C3%A7ois.pdf.
Chouikhi, Houssam. "Optimisation des stratégies de maintenance verte pour les systèmes de production". Thesis, Université de Lorraine, 2012. http://www.theses.fr/2012LORR0413/document.
In this thesis, condition-based maintenance strategies are proposed for production systems of goods and services. These strategies are developed while taking into account the environmental degradation caused by the deterioration of the production system. The system is subjected to random deterioration which impacts the environmental quality. The proposed maintenance models aim to assess the system deterioration in such a way to reduce the environmental degradation. To control this deterioration, inspections are performed on specific dates. The objective is to determine optimal inspection dates which optimize a given performance criterion. Two mathematical optimization models are then proposed in this thesis. The first model considers the average total cost per time unit, while the second model considers the stationary availability of the system. The constrained optimization has also been discussed in this work where the objective is to minimize the average total cost per time unit under an availability constraint or to maximize the stationary availability of the system under a budget constraint. On the basis of Nelder-Mead method, inspection dates as optimal solutions are computed for each optimization criterion. Numerical examples are provided to show the applicability of the proposed condition-based maintenance strategies
Chouikhi, Houssam. "Optimisation des stratégies de maintenance verte pour les systèmes de production". Electronic Thesis or Diss., Université de Lorraine, 2012. http://www.theses.fr/2012LORR0413.
In this thesis, condition-based maintenance strategies are proposed for production systems of goods and services. These strategies are developed while taking into account the environmental degradation caused by the deterioration of the production system. The system is subjected to random deterioration which impacts the environmental quality. The proposed maintenance models aim to assess the system deterioration in such a way to reduce the environmental degradation. To control this deterioration, inspections are performed on specific dates. The objective is to determine optimal inspection dates which optimize a given performance criterion. Two mathematical optimization models are then proposed in this thesis. The first model considers the average total cost per time unit, while the second model considers the stationary availability of the system. The constrained optimization has also been discussed in this work where the objective is to minimize the average total cost per time unit under an availability constraint or to maximize the stationary availability of the system under a budget constraint. On the basis of Nelder-Mead method, inspection dates as optimal solutions are computed for each optimization criterion. Numerical examples are provided to show the applicability of the proposed condition-based maintenance strategies
Dellagi, Sofiène. "Développement de stratégies de maintenance dans un contexte de sous-traitance partielle de production". Metz, 2006. http://docnum.univ-lorraine.fr/public/UPV-M/Theses/2006/Dellagi.Sofiane.SMZ0619.pdf.
Nowadays, the enterprises move under a hard competition. The satisfaction of the client in time becarne a difficult spot. Since that, the majority of the actual Company cal1 upon to the subcontractor in order to cover the client demand and to reduce the demand loss. In fact, it's time to expand new maintenance/production strategies by taking into account the context of subcontractor. In this memory we treat some maintenance policies integrated with production under the subcontractor constraint. The manufacturing system under consideration consists on machine Ml which produces a single product. In order to satisfy a constant demand d, the system called upon to subcontractor. The subcontractor is presented by another machine M2 which produces at a certain rate the sarne type of product as Ml. Both machines are subject to random failures. An age-limit policy is used for preventive maintenance of machine Ml. Point of view maintenance actions, the subcontractor is not controlled by us. We considered that the subcontractor imposes some unavailability periods. That's why we suppose that the failure rate of the subcontractor is constant. In this work we elaborated different strategies integrating maintenance and production. In these strategies we are taking in account the constraint of subcontractor. These strategies are optimised and its performances are compared to a simple maintenance policy SMP in which we don't taking in account the subcontractor. Finally, we classified al1 the strategies developed in this work according its performances orders compared to SMP and noted the performance constraints of theses policies
Pérès, François. "Outils d'analyse de performance pour stratégies de maintenance dans les systèmes de production". Bordeaux 1, 1996. http://www.theses.fr/1996BOR10694.
Fitouhi, Mohamed Chahir. "Optimisation de la planification intégrée de la maintenance préventive et de la production des systèmes multi-états". Thesis, Université Laval, 2011. http://www.theses.ulaval.ca/2011/28234/28234.pdf.
Getan, Cabre Enrique. "Une contribution à la productique : modélisation de données pour la maintenance intégrée des systèmes automatisés de production". Châtenay-Malabry, Ecole centrale de Paris, 1994. http://www.theses.fr/1994ECAP0374.
Charlot, Edner. "Optimisation intégrée de la production, de la planification de la maintenance et la gestion des opérations de cadenassage". Mémoire, École de technologie supérieure, 2005. http://espace.etsmtl.ca/359/1/CHARLOT_Edner.pdf.
Machani, Mahdi. "Heuristiques efficaces pour la planification intégrée de la maintenance préventive et de la production d'un système multi-états". Thesis, Université Laval, 2009. http://www.theses.ulaval.ca/2009/26667/26667.pdf.
Bergeron, Daniel. "Couplage de la simulation et de l'optimisation pour une planification intégrée de la production et de la maintenance des systèmes de production flexibles". Thèse, Université du Québec à Trois-Rivières, 2012. http://depot-e.uqtr.ca/6954/1/030586448.pdf.
Charles, Anne-Sylvie. "Modélisation des défaillances des équipements d'une unité de production de composants électroniques : optimisation des stratégies de maintenance". Toulouse, INPT, 2000. http://www.theses.fr/2000INPT101G.
Ouertani, Amine. "Effets des stratégies de maintenance sur la performance d'une ligne de production avec zones de stockage à capacité finie". Thèse, Université du Québec à Trois-Rivières, 2010. http://depot-e.uqtr.ca/1342/1/030168658.pdf.
Sa'ad, Aisha. "Developing integrated maintenance strategies for renewable energy sources based on analytical methods and artificial intelligence (AI) : comparisons and case study". Electronic Thesis or Diss., Université de Lorraine, 2023. http://www.theses.fr/2023LORR0080.
The development of renewable energy, especially solar and wind energy, over the recent years has gained global attention as an alternative method of generating energy experiencing exceptional growth in its production. In The Global Energy report, global solar energy is expected to have reached a cumulative capacity of 1TW while the wind energy is expected to have multiplied up to 3 to 4 times from mega production in the year 2020. This increase in the solar and wind power implies very significant financial investments. However, with this huge investment potential and significant increase in generation capacity, there is an additional, often overlooked responsibility: managing the power plants to ensure the lowest total life cycle cost (Life Cycle Cost). Like any standard production system, renewable energy (solar and wind energy in our case) generation components are subject to random failure, which interrupts production and supply of demand. Maintenance is identified as a major cause of accidents, lack of technical know-how of an equipment and the absence of a good maintenance routine plan. As part of the efforts to improve the efficiency and performance of renewable energy power plants, we propose models to optimize the power production and maintenance of our selected case studies (Sokoto solar plant and Katsina wind farm). In this regard, we developed new integrated maintenance policies integrated with production of the energy production from solar and wind energy systems. The preventive maintenance strategy adopted in this thesis is perfect maintenance strategy on the selected components for maintenance and an imperfect selective maintenance on the system (solar PV and wind turbine). Battery shortage in case of under-production and maintenance losses are challenges considered in this study. The methodology we developed entails solving the problem of energy production and maintenance optimization by using the theoretical method as well as machine learning method (ANN and SVM) in order to satisfy a random demand of energy during a finite horizon. We also studied the influence of environmental and operational condition of the systems and then validated the models by numerical examples and sensitivity studies proving the robustness of the developed models
Rezaeimalek, Mohammad. "Planification des activités d’inspection sous incertitude basée sur les conditions de maintenance préventive d’un système de production série". Thesis, Paris, ENSAM, 2019. http://www.theses.fr/2019ENAM0007.
Part Quality Inspection Planning (PQIP) is a significant problem in multi-stage manufacturing systems. Because of an existing strong impact of Preventive Maintenance (PM) activities on the defective production rate (which is the main input of the PQIP), developing an integrated planning for the part quality inspection and PM protects system from a local optimum. This thesis presents mixed-integer linear programming models for the integrated planning problem of the part quality inspection and PM activities in a serial multi-stage manufacturing system. The models concurrently determine the right time and place for performing the above-mentioned activities while the stages are deteriorating. These two decisions are made while the models are to minimize the total cost (including the production, PM, inspection, scrap, repair, and the penalty of shipped defective items) and maximize system productivity. Notably, the system productivity is formulized as a non-linear measure, and then it is linearized by the piecewise linear approximation technique. In addition, the uncertainty about the estimation of cost components and demand is handled by a robust possibilistic approach. A numerical example and a real case study are investigated to validate and verify the proposed models. The most important result of this research is that the determination of inspection locations along a manufacturing line in different periods of time regarding the impact of preventive maintenance activities on defective production probability results in a more efficient system