Dissertations / Theses on the topic 'Chaîne d'approvisionnement des secours'
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Chauhan, Satyaveer singh. "Chaîne d'approvisionnement: approaches stratégique et tactique." Phd thesis, Université de Metz, 2003. http://tel.archives-ouvertes.fr/tel-00007076.
Full textDans la seconde partie de la thèse, des problèmes de recherche opérationnelle liés aux chaînes d'approvisionnement vues au niveau stratégique sont exposés. Il s'agit en particulier de problèmes relatifs à la sélection des partenaires d'une chaîne d'approvisionnement.
Enfin, la dernière partie de la thèse est dédiée à des problèmes sensibles au niveau tactique dans l'environnement des chaînes d'approvisionnement. Il s'agit d'ordonnancement en temps réel d'assemblage lorsque les composants sont sous-traités et de la conception d'un processus de partage des bénéfices et des pertes entre partenaires.
Raillani, Hajar. "Disaster mοdelling and emergency facilities lοcatiοn under uncertainties : a case study οf the Μοrοccan relief supply chain." Electronic Thesis or Diss., Normandie, 2024. http://www.theses.fr/2024NORMIR10.
Full textDisaster modelling and facility location are critical aspects of disaster management that help to improve the effectiveness and efficiency of relief supply chains. However, the inherent uncertainties associated with disasters and relief supply chains can significantly impact the effectiveness of such models. To address this challenge, the thesis proposes the use of uncertainty quantification-based models and hidden Markov based models for disaster modelling in the context of the Moroccan relief supply chain. The thesis initiates by conceptualizing the Moroccan relief supply chain, comprehensively outlining its design, activities, and the various actors involved in the humanitarian process, then, a detailed analysis was conducted to highlight the strengths and weaknesses of the Moroccan relief supply chain. This involved a deep examination of uncertainty sources within the humanitarian process, to make a good understanding of challenges faced within the Moroccan relief supply chain and identify the specific requirements. Following this conceptual groundwork, the proposed models are then applied to a dedicated case study of the Moroccan relief supply chain. This practical application aims to validate the effectiveness of the uncertainty quantification-based models and hidden Markov-based models in a real-world scenario, providing valuable insights into their applicability, utility, and potential impact on the complex dynamics of the humanitarian field. The results demonstrate that the uncertainty quantification-based model and the hidden Markov based model can significantly improve the robustness and efficiency of the supply chain network in term of disaster prediction. The uncertainty quantification-based model enables to make prediction of the potential human impact of disasters and the most sensitive regions which can help in the evaluation of the robustness of the supply chain network under different scenarios, considering various sources of uncertainty, such as demand and uncertainties on documented data. On the other hand, the hidden Markov based model is used to predict the disaster behaviour in next occurrence, based on historical data and trends. This model provides important insights into the potential of HMMs in disaster management and humanitarian logistics and emphasize the importance of these models in protecting disasters impact, vulnerable populations and mitigating the effects of natural disasters in the future. The thesis aims also to identify the optimal facility locations and develop an efficient disaster response plan that can mitigate the impact of disasters, this stations will have for function the reception, control, support and the distribution of help in case of natural disasters (earthquakes, floods, torrential floods, locust invasions, drought, landslides ...) or man-made disasters (technological accidents, terrorist attacks, road accidents, pollution ...), through the integration of different actors in the Moroccan relief supply chain (Ministry of the Interior, Ministry of Planning of Moroccan Territories, the civil protection, military, NGOs ...) and by considering various sources of uncertainty, such as demand, transportation time, and supply disruptions. The optimal facility locations identified by the models provide a better coverage of the affected areas, thereby improving the speed and effectiveness of the disaster response plan. The thesis highlights the significance of incorporating uncertainty analysis in disaster modelling and provides insights into the relief supply chain management in Morocco. The findings of this thesis can be useful for policymakers and practitioners in disaster management to improve the effectiveness and efficiency of relief supply chains
Nowaczyk, Julien. "L'intégration du développement durable dans la gestion de la chaîne d'approvisionnement." Thesis, Metz, 2008. http://www.theses.fr/2008METZ001D/document.
Full textCorporate Social Responsibility is commonly accepted within the business community as a new platform to drive success in mitigating new emerging risks and facilitating access to emerging markets. However, in doing so, businesses are now facing new barriers derived from the difficulty on how to implement such a complex new market expectation. The challenge ahead is now to turn these obstacles into opportunities. CSR is asking businesses to notably open their risk management to external pressures, especially direct stakeholders. In that respect, this research paper intends to focus on the relationship with suppliers for a responsible supply chain management. Various aspects of this specific stakeholder shall be treated throughout the paper: What are the risks? How a CSR vision should be implemented in the whole supply chain? What are the relevant tools and methods? We have analysed various theoretical trends (contract theory, transaction costs theory, stakeholders theory, etc…) coupled with numerous businesses case studies in order to offer a relevant and up to date stakeholder mapping with regards to Sustainable procurement
Desport, Pierre. "Planification tactique de chaîne d'approvisionnement en boucle fermée : modélisation, résolution, évaluation." Thesis, Angers, 2017. http://www.theses.fr/2017ANGE0012/document.
Full textSupply chains are ubiquitous across industries and a considerable effort has been invested in supply chain management techniques over the last decades. In Telecommunications service industries, it often involves repair operations and consequently takes place in a closed-loop supply chain. In this context, supply chain management is concerned with optimally planning movements of faulty parts and spare parts based on a demand forecast and in the face of conflicting objectifs (stock out, storage, repair, transfer). This thesis describes this optimisation problem and based on a case study. Specifically, we consider a tactical planning decision support system. This system depends on a generic modeling of the problem that can be applied on a wide range of supply chains. We present an exact method and a metaheuristic to solve this problem and evaluate our approaches against a variety of instances of different sizes. We also study the ability to emulate specific management policies (e.g., just-in-time replenishment, minimal repair) by weighting the objectives. Finally, we investigate how to apply successive plans generated by the system and study the capability to face forecast uncertainties
Hajji, Adnène. "Stratégies de production manufacturière dans un environnement de chaîne d'approvisionnement : approche dynamique stochastique." Mémoire, École de technologie supérieure, 2007. http://espace.etsmtl.ca/237/1/HAJJI_Adn%C3%A8ne.pdf.
Full textSong, Jun. "Chaîne d'approvisionnement du frêt aérien : essai d'identification, d'évaluation et de contrôle des risques." Phd thesis, Université de Grenoble, 2013. http://tel.archives-ouvertes.fr/tel-01062245.
Full textMartins, Monica. "Synchronisation et optimisation de la chaîne d'approvisionnement dans le domaine de la production de volailles." Master's thesis, Université Laval, 2019. http://hdl.handle.net/20.500.11794/34016.
Full textThe poultry industry faces a strong growth in the last decades. In Québec, poultry producers are organized in associations within a complex supply chain. This chain follows the principles of the contract farming in a market based on supply management. The supply management, among other rules, establishes the sales price of poultry to grocery stores. However, there is a specialized market for the poultry where the sale price is not controlled by the supply management. This specialized market gathers the need of fresh poultry for the restaurants and rotisseries. It is much more profitable for the producers to supply this specialized market. The cooperative partner of this research is composed of poultry producers to slaughter and sell their production. This cooperative wants to add value to their owners by increasing participation in the specialized poultry market. However, their products are not always within the required weight. This master thesis presents the case study of the cooperative so that they can enhance their operational processes and have the products within the standard weight established by the specialized market. We propose a solution to this problem by using mathematical programming. The branch-and-bound algorithm is used for obtaining the results. We found a solution for the mathematical formulation proposed for the operational problem. Even though the solution was obtained with an optimization gap of 20%, the cooperative noticed an opportunity to save time on the daily work in its operational process if the solution is adopted. So, the cooperative decided to transform this prototype in a real software for their production planning.
Robillard, Patrick. "Intégration de l'impact des éléments de la qualité dans la planification stratégique d'une chaîne d'approvisionnement multi produits." Mémoire, École de technologie supérieure, 2005. http://espace.etsmtl.ca/332/1/ROBILLARD_Patrick.pdf.
Full textRezaee, Vessal Sara. "Collaboration Within and Between Firms in a Supply Chain." Thesis, Université Paris-Saclay (ComUE), 2017. http://www.theses.fr/2017SACLH004.
Full textThe quality of collaboration within and between firms in a supply chain is one of the main concerns which is studied in supply chain management and economics literature. There are many forces that affect the level of collaboration in different hierarchical settings: collaboration within firms (in team (group) level) and between firms (in firm level) (Drago and Turnbull, 1988; Siemsen, Balasubramanian, and Roth, 2007). Collaboration and communication within firms and between firms is studied in previous literature from different aspects and through analytical (Gibbons, 2005) and non-analytical methods (Mortensen and Neeley, 2012). This dissertation focuses on collaboration and cooperation between different parties, either within a firm or among different firms in a supply chain, in different contexts.This thesis consists of three chapters. In the first chapter, I discuss incentive design specifically in the context of product development and how different types of collaboration affect optimal team composition in designing a product. In the second chapter, I focus on collaboration among a supplier and different retailers to improve sustainability in a supply chain in terms of improving social welfare by lowering waste in the supply chain. In the last chapter, I consider the collaboration among a supplier and different buyers. The main purpose of this chapter is to study buyers' outsourcing versus in-sourcing decision in a supply chain in the presence of learning-by-doing by players, considering the effect of competition in the market
Vo, Van Dien. "Gestion de la biodiversité et traçabilité dans la chaîne d’approvisionnement." Thesis, Paris 10, 2017. http://www.theses.fr/2017PA100101/document.
Full textThis study observes corporate biodiversity management, the implementation of traceability systems and green supply chain management. In specific, this research attempts to develop a model for measuring the performance of corporate biodiversity management with linguistic variables under fuzzy logic theory (O1), to investigate the relationships between biodiversity management, GSCM and the implementation of traceability systems (O2), and to determine changes in the transaction attributes and costs of firms under the transaction cost economics framework (O3). For these purposes, this study takes empirical examinations in the Vietnamese seafood supply chain using primary data from questionnaire surveys and field trips. From the specialist survey, a set of five key performance indicators (KPIs) has been validated for measuring the performance of corporate biodiversity management. The empirical results show that the Vietnamese seafood companies perform better on the key indicators Biodiversity Stewardship Practice, Biodiversity Business Assessment, but lower scores on Biodiversity Conservation Commitment, Biodiversity Management Policy and Biodiversity Performance Reporting. Considering this fact, the green supply chain management practices are proposed to have positive effects on the performance of biodiversity management and traceability. As a result, the implementation of traceability systems leads to an increase in asset specificity (71%), a decrease in transaction uncertainty (60%) and low variation (7%) in the frequency of transactions
Derakhshannia, Marzieh. "Gestion et optimisation de l’architecture logistique de lacs de données." Thesis, Université de Montpellier (2022-….), 2022. http://www.theses.fr/2022UMONS022.
Full textThe digital world with constantly evolution gives rise to the precious concept , "data" that is known as the black gold. In accordance with this evolution, database management systems, which play an important role in data valuation, are becoming an essential element of information systems and decision- making processes. With respect to the digital revolution, data is generated every second in a huge volume, by multiple sources and with different formats.Despite the fact that managing large and dispersed data is a problematic issue , we could not neglect the precious value that could potentially be gained through raw data exploration. This heterogeneity translates into the need for an integrated system to efficiently store, process and analyze the huge amount of scattered data. The phenomenon of huge data, known as big data, requires a decision-making system with an appropriate architecture that stores the heterogeneous data and supports the main characteristics of the big data environment, such as the data volume, the veracity, velocity and veracity. The data lake, which is a centralized storage system, is a good answer to these arising problems to receive raw data on a large scale in their native formats. Concerning this goal, it is clear that the infrastructure and architecture of the data lake have a significant impact on the profitability and functionality of the overall system. In this regard, the design and management of the data lake structure requires practical and innovative methods in order to achieve an integrated and optimal centralized repository. By considering the systematic structure of the data lake as well as the hierarchical architecture of the systems, a logistical vision could lead us to the defined objectives.The supply chain is a good example of logistics systems where hierarchical participants are coordi- nated within an integrated network in order to prepare a product or render services to targeted consumers. The logistics structure as well as the supply chain management strategies could be an innovative source of inspiration to design, manage and optimize a data management system based on a logistics vision.For this reason, the implementation of the analog method between systematic structures clarifies to what extent one could take advantage of management strategies derived from the supply chain to develop the architecture and performance of the data lake.In this thesis, we hypothesize that it is possible to describe a data lake and its functionality by comparing it to the logistical structure of a supply chain. On the basis of these objectives:First, we are interested in relying on several data lake architectures and verifying the effectiveness of these architectures on the performance of the data lake, in particular in relation to data governance and the quality of services.In a second step, we introduce the supply chain, supply chain management and the methods that are used frequently to optimize the supply chain. Furthermore we compare all the elements of this data lake logistics system and focus on their similar points in order to use the data lake supply chain management methods.Thirdly, we propose a new architecture for data lake based on supply chain definition thanks to the evolutionary process of modeling the structures of data lakes. We finish this work by optimizing the proposed data lake architecture with supply chain network design strategies and propose the methods to solve the defined mathematical optimization model
Marchadour-Soubeyrand, Annie. "Evolution de la structure hospitalière de la ville de Sète : repercussions sur la chaîne des urgences." Montpellier 1, 1988. http://www.theses.fr/1988MON11103.
Full textNguyen, Trong Phuc. "Techniques d'optimisation en traitement d'image et vision par ordinateur et en transport logistique." Metz, 2007. http://docnum.univ-lorraine.fr/public/UPV-M/Theses/2007/Nguyen.Trong_Phue.SMZ0719.pdf.
Full textThe works presented in this thesis are related to new techniques of optimization for the solution of four important problems of two fields : transport logistics, computer vision and image processing. They are nonconvex optimization problems of very large dimensions for which the research of good solution methods is always of actuality. Our work is based mainly on the DC programming and DCA that have been successfully applied in various fields of applied sciences, including machine learning. It is motivated and justified by the robustness and the good performance of DC programming and DCA in comparison with the existing methods. The thesis is divided into five chapters. The first chapter, which serves as a reference for other chapters, presents some tools from the bases of DC programming and DCA. The second chapter discusses the problem of supply chain design at the strategic level, which can be formulated as a mixed integer linear program. We treat this problem by DC algorithms via exact penalty on the basis of suitable DC decompositions and a technique for finding a good starting point. The third chapter is concerned with the discrete tomography applied to the problem of binary image reconstruction. This problem is solved by three different approaches based on DCA. In the fourth chapter, we study the problem of image segmentation using Fuzzy C-Means clustering via DCA. A nonlinear estimate of the fundamental matrix in computer vision by the trust-region method based on the truncated conjugate gradient method or DCA is developed in the final chapter
Robert, Anna. "Optimisation des batches de production." Paris 6, 2007. http://www.theses.fr/2007PA066657.
Full textTliche, Youssef. "Performance d’une chaîne d’approvisionnement décentralisée : Une approche de prévision collaborative par inférence Downstream Demand Inference in decentralized supply chains An Improved Forecasting Approach to Reduce Inventory Levels in Decentralized Supply Chains." Thesis, Normandie, 2020. http://www.theses.fr/2020NORMLH06.
Full textSupply chain structures are becoming increasingly complex, particularly as a result of globalization and decentralization. Several inhibitors accentuate the decentralized nature and prevent the improvement of the performance of decentralized channels. This thesis work is interested in a collaborative forecasting approach which aims to improve the performance of decentralized channels. This approach addresses the non-sharing of demand information in a serial supply chain and shows that an inference of this demand is possible under certain conditions. This inference brings the performance of a decentralized chain closer to that of a centralized chain. A relaxation of the hypothesis of non-sharing of information further increases the operational performance of the decentralized system. This research enriches the notion of supply chain performance by demonstrating that the operational performance of decentralized chains can be considerably increased thanks to a source of collaborative forecasting improvement
Rodriguez, Pellière Lineth Arelys. "A qualitative analysis to investigate the enablers of big data analytics that impacts sustainable supply chain." Thesis, Ecole centrale de Nantes, 2019. http://www.theses.fr/2019ECDN0019/document.
Full textScholars and practitioners already shown that Big Data and Predictive Analytics also known in the literature as BDPA can play a pivotal role in transforming and improving the functions of sustainable supply chain analytics (SSCA). However, there is limited knowledge about how BDPA can be best leveraged to grow social, environmental and financial performance simultaneously. Therefore, with the knowledge coming from literature around SSCA, it seems that companies still struggled to implement SSCA practices. Researchers agree that is still a need to understand the techniques, tools, and enablers of the basics SSCA for its adoption; this is even more important to integrate BDPA as a strategic asset across business activities. Hence, this study investigates, for instance, what are the enablers of SSCA, and what are the tools and techniques of BDPA that enable the triple bottom line (3BL) of sustainability performances through SCA. The thesis adopted moderate constructionism since understanding of how the enablers of big data impacts sustainable supply chain analytics applications and performances. The thesis also adopted a questionnaire and a case study as a research strategy in order to capture the different perceptions of the people and the company on big data application on sustainable supply chain analytics. The thesis revealed a better insight of the factors that can affect in the adoption of big data on sustainable supply chain analytics. This research was capable to find the factors depending on the variable loadings that impact in the adoption of BDPA for SSCA, tools and techniques that enable decision making through SSCA, and the coefficient of each factor for facilitating or delaying sustainability adoption that wasn’t investigated before. The findings of the thesis suggest that the current tools that companies are using by itself can’t analyses data. The companies need more appropriate tools for the data analysis
Firoozi, Mehdi. "Optimisation Multi-échelon du stock avec incertitude sur l'approvisionnement et la demande." Thesis, Bordeaux, 2018. http://www.theses.fr/2018BORD0289/document.
Full textSupply Chain Management (SCM) is an important part of most companies and applying the appropriate strategy is essential for managers in competitive industries and markets. In this context, Inventory Management plays a crucial role. Different inventory systems are widely used in practice. However, it is fundamentally difficult to optimize, especially in multi-echelon networks. A key challenge in managing inventory is dealing with uncertainties in supply and demand. The simultaneous decrease of customer service and increase of inventory-related costs are the most significant effects of such uncertainties. To deal with this pattern, supply chain managers need to establish more effective and more flexible sourcing and distribution strategies. In this thesis, a “framework to optimize inventory decisions in multi-echelon distribution networks under supply and demand uncertainty” is proposed. In the first part of the research work, multi-echelon distribution systems, subject to demand uncertainty, are studied. Such distribution systems are one of the most challenging inventory network topologies to analyze. The optimal inventory and sourcing policies for these systems are not yet unknown. We consider a basic type of distribution network with a single family product through a periodic review setting. Based on this property, a two-stage mixed integer programming approach is proposed to find the optimal inventory-related decisions considering the non-stationary demand pattern. The model, which is based on a Distribution Requirements Planning (DRP) approach, minimizes the expected total cost composed of the fixed allocation, inventory holding, procurement, transportation, and back-ordering costs. Alternative inventory optimization models, including the lateral transshipment strategy and multiple sourcing, are thus built, and the corresponding stochastic programs are solved using the sample average approximation method. Several problem instances are generated to validate the applicability of the model and to evaluate the benefit of lateral transshipments and multiple sourcing in reducing the expected total costs of the distribution network. An empirical investigation is also conducted to validate the numerical findings by using the case of a major French retailer’s distribution network. The second part of the research work is focused on the structure of the optimal inventory policy which is investigated under supply disruptions. A two-stage stochastic model is proposed to solve a capacitated multi-echelon inventory optimization problem considering a stochastic demand as well as uncertain throughput capacity and possible inventory losses, due to disruptions. The model minimizes the total cost, composed of fixed allocation cost, inventory holding, transportation and backordering costs by optimizing inventory policy and flow decisions. The inventory is controlled according to a reorder point order-up-to-level (s, S) policy. In order to deal with the uncertainties, several scenario samples are generated by Monte Carlo method. Corresponding sample average approximations programs are solved to obtain the adequate response policy to the inventory system under disruptions. In addition, extensive numerical experiments are conducted. The results enable insights to be gained into the impact of disruptions on the network total cost and service level. In both parts of the research, insights are offered which could be valuable for practitioners. Further research possibilities are also provided
Zhang, Chi. "The impact of guanxi on supply chain management." Thesis, Pau, 2018. http://www.theses.fr/2018PAUU2042/document.
Full textThis thesis aims to investigate guanxi’s impact on supply chain management. As a first step, we historically review guanxi’s evolution and discuss its impacts on business performance. Next, by using data from qualitative interviews and a quantitative survey collected from Chinese buyers in France, this thesis creates a guanxi measurement scale for Sino-Franco buyer-supplier relationship, and reveals that guanxi’s positive impact on supply chain performance is mediated by supply chain collaboration. Furthermore, through draw on the survey data of 200 Chinese manufacturers with overseas business, this thesis demonstrates that the mediated relationship between guanxi and supply chain performance is moderated by individual culture. Our research results not only empirically prove guanxi’s importance in the international market, but also uncover that the effectiveness of different types of guanxi that depends on the partner’s cultural orientation
Laguna, Salvadó Laura. "Towards a sustainable humanitarian supply chain : characterization, assessment and decision-support." Thesis, Ecole nationale des Mines d'Albi-Carmaux, 2018. http://www.theses.fr/2018EMAC0016/document.
Full textThe Humanitarian supply Chain is a key element to enhance a performing response to humanitarian crisis. Because of the internal and external pressure, Humanitarian Organizations (HO) has done efforts during last decades to improve the crisis response in terms of effectiveness and efficiency. However, the performance is challenged by the increasing gap between funding and needs. The main donors ask for more transparency and accountability. Moreover, the pressure from the international community is pushing HO to integrate Sustainability challenges on a near future. Is in this context, and field research results, that the difficulties to consider sustainability on HSC decision-making. The lack of Decision Support Systems and a sustainability culture specific to the HSC have been identified as break to improve the planning of sustainable humanitarian operations. This research work seeks to introduce the sustainability notion to the management of the HSC. The approach followed is the development of a decision support system based on performance, to plan the HSC operations. Three research directions have been explored: (a) How to gather an exhaustive knowledge of a HSC, for both field research and development of DSS? The proposed contribution is a Meta-Model of the HSC, for field research porpoise and for developing adequate Decision Support Systems. (b) What sustainability means in HSC context? Based on a literature review and field research, a framework is established to define the HSC sustainable performance. (c) How to make sustainable decisions during humanitarian response? This contribution is based on an Operational Research Algorithm, which permits to integrate the sustainable performance on decision making with an interactive approach. The thesis illustrates the three contributions with use cases based on the International Federation of the Red Cross (IFRC)
El, Moussaoui Soufiane. "Contribution dans l'industrialisation de la construction : étude d'implémentation des centres logistiques dans les projets de logements." Electronic Thesis or Diss., Centrale Lille Institut, 2021. http://www.theses.fr/2021CLIL0023.
Full textLogistics and Supply Chain Management (SCM) are advocated as improvement areas for the performance of construction sites. Initiatives and attempts to improve supply chains have been implemented recently. In particular, Construction Logistics Centers (CLCs) are gaining more interest among general contractors trying to restructure their materials management methods in complex and confined urban sites. Given the lack of experience and research in the literature regarding CLC solutions and services, this research work aims to contribute to a better understanding of CLC implementation and its corresponding effects. This research work was prepared mainly by a deep investigation of the construction logistics through semi-structured interviews. Lack of time, scarcity of tools, difficulty in estimating costs and benefits and in mobilizing partners were the main difficulties identified in the implementation of a logistics solution. Three levels of criteria are proposed to better understand the choice of these solutions for construction projects. Then, a real experimentation of CLC has been investigated. In fact, this supply system has reduced deliveries, saved time for the workers and improved ergonomics. Nevertheless, it requires more advanced management and causes difficulties in inventory control. Recommendations were provided, both at the strategic and operational levels, for better implementation. The financial viability of CLC from a construction site perspective as well as the effects in terms of deliveries and storage, are also investigated. The results of the exploratory simulation show a relatively positive financial balance and a potential reduction of 26%, 36% and 44% in the number of pallets, storage area and excess storage, respectively. This work has been capitalized in the form of applications that are made available to construction teams. Towards the end of this research work, the effect of CLC on the polluting emissions from the transport of materials is evaluated based on a case study. The results of this study showed a reduction of up to 9%, 12%, 10%, 18%, 19% and 9% of CO2, PM2.5, PM10, CO, NOx and VOC emissions, respectively
Asgari, Erfan. "Optimisation des stratégies des détaillants sur un marché sensible aux prix et aux émissions de carbone." Thesis, Université Grenoble Alpes, 2021. http://www.theses.fr/2021GRALI001.
Full textThis work studies the retailer's profit maximization problem and investigates his/her optimal strategies in a price- and greenness- sensitive market. This work starts with a benchmark model where a retailer offers one kind of product to customers. The products are produced by a supplier and sent to the retailer. The retailer keeps the products in a warehouse near the customers to serve them as soon as one arrives. The demand for the products is random and follows the Poisson distribution. The customers' arrival mean rate is sensitive to retail price and carbon emission level of the product. The refilling time of the retailer's warehouse is also random and follows Exponential distribution. The problem consists of deciding the product's price, carbon emission level, and order size. We solve the problem by an analytical approach and provide the closed-form expressions of the optimal solutions.The benchmark model is extended in the way that retailer offers two substitutable products to customers. The demand for each product depends on its price and carbon emission level (decreasing) and depends on the other product's price and carbon emission level (increasing). The retailer's profit maximization problem is formulated in a stochastic environment under different settings (decision variables) and is solved by an analytical approach. According to the results, the market is distinguished into three categories: 1- Greenness-Driven Switchovers market, 2- Price-Driven Switchovers market, and 3- Neutral market. Different market structures provide useful insights.Dynamic competition between two retailers, which each of them has its supplier, is considered. Retailers offer two substitutable products that each of them offers one kind of product. Two symmetric mathematical models decide the products' prices, carbon emission levels, and order sizes. Each retailer's decision affects the other retailer's decision. The general problems are solved by an analytical approach and determined the Nash equilibrium. However, in practice, there are many situations where an existing retailer is already operating in the market, and a new retailer enters the market. Two situations are considered and solved: 1- Competition without reaction and 2- Competition with partial reaction. The close-form expressions of the optimal solutions are presented for all scenarios.This work ends its studies by introducing a non-linear demand function. In the literature, all studies consider a linear demand function (to the best of our knowledge). However, our partners in project ANR CONCLuDE found out that the linear function is not sufficient. Thus, a new non-linear demand function is considered concerning carbon emission improvement. Our partners' studies also reveal that improving greenness leads to increasing the demand for a certain amount of market potential, and after that, it is constant. The second demand function is called cap. The benchmark model is re-formulated with different demand functions and solved. Then, closed-form expressions of optimal solutions are presented. A numerical example is conducted to compare profits with different demand functions. The non-linear cap is considered as a reference and compared to others. The results reveal that when the maximum attracted costumers are low (below 20%), the linear cap model performs better than others do. When it is high, the non-linear model performs better
Zhou, Rongyan. "Exploration of opportunities and challenges brought by Industry 4.0 to the global supply chains and the macroeconomy by integrating Artificial Intelligence and more traditional methods." Electronic Thesis or Diss., université Paris-Saclay, 2021. http://www.theses.fr/2021UPAST037.
Full textIndustry 4.0 is a significant shift and a tremendous challenge for every industrial segment, especially for the manufacturing industry that gave birth to the new industrial revolution. The research first uses literature analysis to sort out the literature, and focuses on the use of “core literature extension method” to enumerate the development direction and application status of different fields, which devotes to showing a leading role for theory and practice of industry 4.0. The research then explores the main trend of multi-tier supply in Industry 4.0 by combining machine learning and traditional methods. Next, the research investigates the relationship of industry 4.0 investment and employment to look into the inter-regional dependence of industry 4.0 so as to present a reasonable clustering based on different criteria and make suggestions and analysis of the global supply chain for enterprises and organizations. Furthermore, our analysis system takes a glance at the macroeconomy. The combination of natural language processing in machine learning to classify research topics and traditional literature review to investigate the multi-tier supply chain significantly improves the study's objectivity and lays a solid foundation for further research. Using complex networks and econometrics to analyze the global supply chain and macroeconomic issues enriches the research methodology at the macro and policy level. This research provides analysis and references to researchers, decision-makers, and companies for their strategic decision-making
Santander, Tapia Pavlo Javier Alejandro. "Valorisation en circuit court de déchets thermoplastiques pour la conception par impression 3D de structures composites." Electronic Thesis or Diss., Université de Lorraine, 2020. http://www.theses.fr/2020LORR0229.
Full textThe management of plastic waste is a major problem that has yet to be resolved with a view to a more sustainable development of human activities. Among the possible solutions, recycling is an interesting way to recycle non-renewable materials. After decades of centralized recycling, there is now a growing interest in approaches based on distributed recycling. Taking advantage of the democratization of open-source 3D printing technologies (OS), we propose to revalorize locally the plastics that can be used by these technologies. This distributed recycling can be considered as a kind of "intelligent network", composed of small coordinated recycling units, which provide recycled plastic filaments to the 3D printing community. The technical feasibility of this plastic recycling approach has been proven in the literature. However, its feasibility from a supply chain and logistics perspective has yet to be demonstrated. In order to address this issue, this research thesis seeks to provide answers to the following research question: Under what conditions is it possible to deploy a sustainable network of local and distributed plastics recycling using open-source 3D printing technologies? Taking into account the above, this research work aims to propose a framework for the analysis and evaluation, from a sustainability perspective, of the distributed plastic recycling approach for 3D printing. The proposed evaluation framework combines optimization and system dynamics in the evaluation of the sustainability of the recycling approach. The application of the evaluation framework to a specific case study of a university seeking to implement a distributed recycling demonstrator to recover 3D printing waste from middle and high schools in northeastern France illustrated the feasibility from a sustainability perspective
Woldemichael, Martha Tesfaye. "Essays on international trade and export performance." Thesis, Université Clermont Auvergne (2017-2020), 2018. http://www.theses.fr/2018CLFAD010.
Full textHistorical evidence shows that countries can successfully develop by opening up to trade and pursuing manufacturing export-led strategies. Trade promotes efficient allocation of resources according to comparative advantage, with imports acting as a vehicle for technology transfers and productivity growth while exports are key to relaxing balance-of-payments constraints and supporting domestic revenue mobilization efforts. By spurring growth, trade has the potential of alleviating poverty and delivering better livelihoods. Drawing on the case of Cambodia where the garment industry provides the bulk of manufacturing jobs and accounts for the lion's share of the export bundle, Chapter 2 provides micro evidence of the welfare-enhancing potential of trade openness through manufacturing exports. It relies on propensity score matching estimators to show that the textile and apparel sector enhances the welfare of households in the bottom 40 percent of the income distribution, boosting consumption, asset ownership and the proportion of children attending school, while curbing exposure to food insecurity and lowering the incidence and depth of poverty. Based on instrumental variables, we also show that remittances from the export-oriented garment industry relax household budget constraints, increasing expenditures in education, health and productivity-raising investments in agriculture. Chapter 3 adopts a macro approach to investigate the determinants of episodes of strong and sustained export growth. Institutional quality underpinned by macroeconomic stability, a depreciated exchange rate, export diversification, global value chain participation and market-oriented agricultural reforms show up as strong predictors of export takeoffs. Lowering barriers to competition in network industries and lifting capital movement restrictions mainly bolster services exports, while foreign direct investment inflows are conducive to goods export accelerations. Applying the synthetic control method to the illustrative cases of Brazil and Peru yields evidence of higher real GDP per capita and lower unemployment and income inequality in the years following the export surge. Our results point to significant complementarities between goods and services, and suggest that lowering barriers to trade in services is likely to support trade in goods. Chapter 4 quantifies a new source of domestic trade costs related to import processing times at the border that generate supply chain unreliability by exposing importing firms to unexpected delays in the provision of critical inputs, ultimately undermining their export performance. Using the Poisson-pseudo-maximum-likelihood estimator, we find that uncertainty in the time required to clear imported inputs through Customs impacts neither the entry nor the exit rate of manufacturing firms, but translates into lower survival rates for new exporters. This effect is heterogeneous across export industries, grows larger over time owing to rising reputational costs to input-importing exporters, and is mainly driven by South-North trade, possibly reflecting the time-sensitivity of buyers in developed countries. It is also attenuated by sunk costs of entry in foreign markets
Saksrisathaporn, Krittiya. "A multi-criteria decision support system using knowledge management and project life cycle approach : application to humanitarian supply chain management." Thesis, Lyon 2, 2015. http://www.theses.fr/2015LYO22016/document.
Full textThis thesis aims to contribute to the understanding of HOLC in context of the HSCM and to propose a decision model which applies to the phases of HOLC the decision making regarding a real situation . This include the implementation of the proposed model to design and develop a decision support tool in order to improve the performance of humanitarian logistics in both national and international relief operations.This research is divided into three phases; the first phase is to clarify and define HL among HSCM, commercial supply chain management (CSCM) and SCM and their relationship. Project Life Cycle Management (PLCM) approaches are also presented. The difference between project life cycle management (PLM) and PLCM is also required to distinguish a clear understanding which can be addressed in the phase of humanitarian operation life cycle. Additionally, the literature of Multiple-Criteria Decision Making (MCDM) models and existing decision aid system for HL are analyzed to establish the research gap. The MCDM approaches which implement the decision support system (DSS) and lastly how DSS has been used in the HSCM context.The second phase is to propose a decision model based on MCDM approaches to support the decision of the decision maker before he/she takes action. This model provides the ranking alternatives to warehouse, supplier and transportation over the phases of HOLC. The proposed decision model is conducted in 3 scenarios; I. The decision in 4-phase HOLC, international relief operation of French Red Cross (FRC). II. The decision on 3-phase HOLC, national operation by the Thai Red Cross (TRC). III. The decision on response phase HOLC, international operation by the FRC in four countries. In this phase, the scenario I and II are performed step by step though numerical calculation and mathematical formulas. The scenario III will be presented in the third phase.In the third phase, an application of web-based multi-criteria decision support system (WB-MCDSS) which implement the proposed model is developed. The web-based multi-criteria decision support system is developed based on the integration of analytical hierarchy process (AHP) and TOPSIS approaches. In order to achieve an appropriate decision in a real time response, the WB-MCDSS is developed based on server-client protocol and is simple to operate. Last but not least, a validation application of the model is performed using the sensitivity analysis approach
Amrani, Aicha. "Impact des contrats d'approvisionnement sur la performance de la chaîne logistique : Modélisation et simulation." Phd thesis, 2009. http://tel.archives-ouvertes.fr/tel-00670398.
Full textLagacé, Étienne. "Analyse des impacts des circulaires hebdomadaires sur la chaîne d'approvisionnement d'une entreprise de commerce de détail." Mémoire, 2008. http://www.archipel.uqam.ca/1264/1/M10252.pdf.
Full textDeslauriers-Gaboury, Olivier. "Consolidation pro active de commandes : une première simulation dynamique par modélisation Arena." Mémoire, 2011. http://www.archipel.uqam.ca/4424/1/M12257.pdf.
Full textEl, Hadj Khalaf Radwan. "Définition des nomenclatures et des sources d'approvisionnement pour la fabrication d'une famille de produits." Phd thesis, 2009. http://tel.archives-ouvertes.fr/tel-00991810.
Full textBéliveau, Martin. "Consolidation des commandes dans la grande distribution." Mémoire, 2010. http://www.archipel.uqam.ca/3585/1/M11508.pdf.
Full textSilva, Robinson Mariano da. "Retards dans le projet de nouveaux aéronefs par les constructeurs aéronautiques, causes et conséquences." Thèse, 2021. http://depot-e.uqtr.ca/id/eprint/9697/1/eprint9697.pdf.
Full textAmsellem, David. "La construction de la confiance dans le commerce électronique interentreprises (e-business B2B) : les mécanismes d'autorégulation." Thèse, 2007. http://hdl.handle.net/1866/18128.
Full textGemieux, Géraldine. "Planification de la récolte et allocation des produits aux usines." Thèse, 2009. http://hdl.handle.net/1866/3515.
Full textForest industry is a sector located at the heart of the debate on globalisation and sustainable development, even if it is in decline. For many countries like Canada, Sweden and Chile, the objectives are to maintain a flourishing sector without damaging the environment and to realize the finite nature of resources. It is important to be competitive and to operate effectively on forest territories, from harvesting to manufacturing products, through transport, in a context where costs increase rapidly. This master’s thesis is developing a tactical operational planning model to organize activities for a year to meet requests for factories, without losing sight of the transport of harvested quantities and inventory management factory. The year is divided into 26 periods of two weeks. We seek harvest teams schedules and assignment to harvest areas (units) for a year. The problem is formulated as a mixed integer programming model, whose structure is based on each stage of the forest supply chain. We choose to solve it by an exact method, branch-and-bound. We were able to assess how the direct resolution of our planning problem was difficult for instances with a large number of periods. However the rolling horizon approach has proved successful. In a day, we obtained the harvest activities planning for 26 periods.