Tesis sobre el tema "Cost model optimisation"
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Wang, Mengyu. "Model-based Optimisation of Mixed Refrigerant LNG Processes". Thesis, The University of Sydney, 2017. http://hdl.handle.net/2123/17387.
Texto completoViduto, Valentina. "A risk assessment and optimisation model for minimising network security risk and cost". Thesis, University of Bedfordshire, 2012. http://hdl.handle.net/10547/270440.
Texto completoBurnett, Robert Carlisle. "A trade-off model between cost and reliability during the design phase of software development". Thesis, University of Newcastle Upon Tyne, 1995. http://hdl.handle.net/10443/2104.
Texto completoWang, Lina. "A multi-disciplinary optimisation model for passenger aircraft wing structures with manufacturing and cost considerations". Thesis, University of Salford, 2000. http://usir.salford.ac.uk/26957/.
Texto completoLow, Wei Zhe. "Towards cost model-driven log-based business process improvement". Thesis, Queensland University of Technology, 2016. https://eprints.qut.edu.au/97727/1/Wei%20Zhe_Low_Thesis.pdf.
Texto completoMoberg, Pontus y Filip Svensson. "Cost Optimisation through Statistical Quality Control : A case study on the plastic industry". Thesis, Blekinge Tekniska Högskola, Institutionen för industriell ekonomi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-21922.
Texto completoLiu, Tianxao. "Proposition d'un cadre générique d'optimisation de requêtes dans les environnements hétérogènes et répartis". Thesis, Cergy-Pontoise, 2011. http://www.theses.fr/2011CERG0513.
Texto completoThis thesis proposes a generic framework for query optimization in heterogeneous and distributed environments. We propose a generic source description model (GSD), which allows describing any type of information related to query processing and optimization. With GSD, we can use cost information to calculate the costs of execution plans. Our generic framework for query optimization provides a set of unitary functions used to perform optimization by applying different search strategies. Our experimental results show the accuracy of cost calculus when using GSD, and the flexibility of our generic framework when changing search strategies. Our proposed approach has been implemented and integrated in a data integration product (DVS) licensed by Xcalia – Progress Software Corporation. For queries with many inter-site joins accessing large size data sources, the time used for finding the optimal plan is in the order of 2 seconds, and the execution time of the optimized plan is reduced by 28 times, as compared with the execution time of the non optimized original plan
Belghoul, Abdeslem. "Optimizing Communication Cost in Distributed Query Processing". Thesis, Université Clermont Auvergne (2017-2020), 2017. http://www.theses.fr/2017CLFAC025/document.
Texto completoIn this thesis, we take a complementary look to the problem of optimizing the time for communicating query results in distributed query processing, by investigating the relationship between the communication time and the middleware configuration. Indeed, the middleware determines, among others, how data is divided into batches and messages before being communicated over the network. Concretely, we focus on the research question: given a query Q and a network environment, what is the best middleware configuration that minimizes the time for transferring the query result over the network? To the best of our knowledge, the database research community does not have well-established strategies for middleware tuning. We present first an intensive experimental study that emphasizes the crucial impact of middleware configuration on the time for communicating query results. We focus on two middleware parameters that we empirically identified as having an important influence on the communication time: (i) the fetch size F (i.e., the number of tuples in a batch that is communicated at once to an application consuming the data) and (ii) the message size M (i.e., the size in bytes of the middleware buffer, which corresponds to the amount of data that can be communicated at once from the middleware to the network layer; a batch of F tuples can be communicated via one or several messages of M bytes). Then, we describe a cost model for estimating the communication time, which is based on how data is communicated between computation nodes. Precisely, our cost model is based on two crucial observations: (i) batches and messages are communicated differently over the network: batches are communicated synchronously, whereas messages in a batch are communicated in pipeline (asynchronously), and (ii) due to network latency, it is more expensive to communicate the first message in a batch compared to any other message that is not the first in its batch. We propose an effective strategy for calibrating the network-dependent parameters of the communication time estimation function i.e, the costs of first message and non first message in their batch. Finally, we develop an optimization algorithm to effectively compute the values of the middleware parameters F and M that minimize the communication time. The proposed algorithm allows to quickly find (in small fraction of a second) the values of the middleware parameters F and M that translate a good trade-off between low resource consumption and low communication time. The proposed approach has been evaluated using a dataset issued from application in Astronomy
Verrecht, Bart. "Optimisation of a hollow fibre membrane bioreactor for water reuse". Thesis, Cranfield University, 2010. http://dspace.lib.cranfield.ac.uk/handle/1826/6779.
Texto completoAntomarchi, Anne-Lise. "Conception et pilotage d'un atelier intégrant la fabrication additive". Thesis, Université Clermont Auvergne (2017-2020), 2019. http://www.theses.fr/2019CLFAC035/document.
Texto completoThe additive manufacturing is a field on the rise. However, companies wonder about the use of additive manufacturing for mass production. The problem raised in the context of this thesis is: How to make the process of sintering laser melting industrially viable? Our work focuses on the design and on the management of workshops integrating the additive manufacturing and of the complete process to obtain part according to three levels of decision: strategic, tactic and operational. About the strategic level, strong decisions of investment, machines selection and organization choice are taken with important economic issues. The aim is to define a multicriteria optimization method for the modular design of a production system integrating the additive manufacturing in the presence of uncertain data, optimal in the long term and the short term. From a tactical point of view, not all parts are necessarily relevant candidates for additive manufacturing. In this work, we developed a decision support tool that evaluates the relevance or not of additive manufacturing to obtain parts in a global cost approach. At the operational level, we offer a tool based on flow simulation that allows orders to be placed to production orders and their scheduling in order to guarantee the efficiency of the workshop. This research work is developed in collaboration with companies: AddUp, MBDA and Dassault, who contribute to our work and enable us to compare our tools with an industrial reality
Sandve, Kjell. "Cost analysis and optimal maintenance planning for monotone, repairable systems". Thesis, Robert Gordon University, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.336620.
Texto completoMartinod, Restrepo Ronald Mauricio. "Politiques d’exploitation et de maintenance intégrées pour l’optimisation économique, sociétale et environnementale des systèmes de transports urbains interconnectés". Electronic Thesis or Diss., Université de Lorraine, 2021. http://www.theses.fr/2021LORR0069.
Texto completoUrban public transport systems influence the infrastructure of urban areas and the lives of their inhabitants while directly stimulating the economy. Intelligent urban public transport systems help to improve the quality of life and the environment in cities. The rapid development of urban transport solutions has led to a large number of operators entering the market, thus preventing a global optimum. These discrete optimisations, without any articulation between transport operators, avoid the identification of a global optimum. As a result, the inefficient operation of urban public transport systems does not necessarily reduce the environmental cost. To address these challenges, this thesis proposes a methodology associated with mathematical models developing optimisation approaches for multimodal public transport networks, for achieving the best service policy while minimising operation costs in order to satisfy the principle of sustainability, frequently expressed in urban development goals
Charnay, Clément. "Enhancing supervised learning with complex aggregate features and context sensitivity". Thesis, Strasbourg, 2016. http://www.theses.fr/2016STRAD025/document.
Texto completoIn this thesis, we study model adaptation in supervised learning. Firstly, we adapt existing learning algorithms to the relational representation of data. Secondly, we adapt learned prediction models to context change.In the relational setting, data is modeled by multiples entities linked with relationships. We handle these relationships using complex aggregate features. We propose stochastic optimization heuristics to include complex aggregates in relational decision trees and Random Forests, and assess their predictive performance on real-world datasets.We adapt prediction models to two kinds of context change. Firstly, we propose an algorithm to tune thresholds on pairwise scoring models to adapt to a change of misclassification costs. Secondly, we reframe numerical attributes with affine transformations to adapt to a change of attribute distribution between a learning and a deployment context. Finally, we extend these transformations to complex aggregates
Olsson, Leif. "Optimisation of forest road investments and the roundwood supply chain /". Umeå : Dept. of Forest Economics, Swedish Univ. of Agricultural Sciences, 2004. http://epsilon.slu.se/s310.pdf.
Texto completoBester, Albertus J. "A multi-objective approach to incorporate indirect costs into optimisation models of waterborne sewer systems". Thesis, Stellenbosch : University of Stellenbosch, 2011. http://hdl.handle.net/10019.1/6824.
Texto completoENGLISH ABSTRACT: Waterborne sewage system design and expansion objectives are often focused on minimising initial investment while increasing system capacity and meeting hydraulic requirements. Although these objectives make good sense in the short term, the solutions obtained might not represent the optimal cost-effective solution to the complete useful life of the system. Maintenance and operation of any system can have a significant impact on the life-cycle cost. The costing process needs to be better understood, which include maintenance and operation criteria in the design of a sewer system. Together with increasing public awareness regarding global warming and environmental degradation, environmental impact, or carbon cost, is also an important factor in decisionmaking for municipal authorities. This results in a multiplicity of different objectives, which can complicate the decisions faced by waterborne sewage utilities. Human settlement and migration is seen as the starting point of expansion problems. An investigation was conducted into the current growth prediction models for municipal areas in order to determine their impact on future planning and to assess similarities between the models available. This information was used as a platform to develop a new method incorporating indirect costs into models for planning waterborne sewage systems. The need to balance competing objectives such as minimum cost, optimal reliability, and minimum environmental impact was identified. Different models were developed to define the necessary criteria, thus minimising initial investment, operating cost and environmental impact, while meeting hydraulic constraints. A non-dominated sorting genetic algorithm (NSGA-II) was applied to certain waterborne sewage system (WSS) scenarios that simulated the evolutionary processes of genetic selection, crossover, and mutation to find a number of suitable solutions that balance all of the given objectives. Stakeholders could in future apply optimisation results derived in this thesis in the decision making process to find a solution that best fits their concerns and priorities. Different models for each of the above-mentioned objectives were installed into a multi-objective NSGA and applied to a hypothetical baseline sewer system problem. The results show that the triple-objective optimisation approach supplies the best solution to the problem. This approach is currently not applied in practice due to its inherent complexities. However, in the future this approach may become the norm.
AFRIKAANSE OPSOMMING: Spoelafvoering rioolstelsel ontwerp en uitbreiding doelwitte is dikwels gefokus op die vermindering van aanvanklike belegging, terwyl dit die verhoging van stelsel kapasiteit insluit en ook voldoen aan hidrouliese vereistes. Alhoewel hierdie doelwitte goeie sin maak in die kort termyn, sal die oplossings verkry dikwels nie die optimale koste-effektiewe oplossing van die volledige nuttige lewensduur van die stelsel verteenwoordig nie. Bedryf en instandhouding van 'n stelsel kan 'n beduidende impak op die lewensiklus-koste hê, en die kostebepalings proses moet beter verstaan word en die nodige kriteria ingesluit word in die ontwerp van 'n rioolstelsel. Saam met 'n toenemende openbare bewustheid oor aardverwarming en die agteruitgang van die omgewing, is omgewingsimpak, of koolstof koste, 'n belangrike faktor in besluitneming vir munisipale owerhede. As gevolg hiervan, kan die diversiteit van die verskillende doelwitte die besluite wat munisipale besluitnemers in die gesig staar verder bemoeilik. Menslike vestiging en migrasie is gesien as die beginpunt van die uitbreiding probleem. 'n Ondersoek na die huidige groeivoorspelling modelle vir munisipale gebiede is van stapel gestuur om hul impak op die toekomstige beplanning te bepaal, en ook om die ooreenkomstes tussen die modelle wat beskikbaar is te asesseer. Hierdie inligting is gebruik as 'n platform om ‘n nuwe metode te ontwikkel wat indirekte kostes inkorporeer in die modelle vir die beplanning van spoelafvoer rioolstelsels. Die behoefte is geïdentifiseer om meedingende doelwitte soos minimale aanvanklike koste, optimale betroubaarheid en minimum invloed op die omgewing te balanseer. Verskillende modelle is ontwikkel om die bogenoemde kriteria te definiëer, in die strewe na die minimaliseering van aanvanklike belegging, bedryfskoste en omgewingsimpak, terwyl onderhewig aan hidrouliese beperkinge. ‘n Nie-gedomineerde sorteering genetiese algoritme (NSGA-II), istoegepas op sekere spoelafvoering rioolstelsel moontlikhede wat gesimuleerde evolusionêre prosesse van genetiese seleksie, oorplasing, en mutasie gebruik om 'n aantal gepaste oplossings te balanseer met inagname van al die gegewe doelwitte. Belanghebbendes kan in die toekoms gebruik maak van die resultate afgelei in hierdie tesis in besluitnemings prosesse om die bes-passende oplossing vir hul bekommernisse en prioriteite te vind. Verskillende modelle vir elk van die bogenoemde doelwitte is geïnstalleer in die nie-gedomineerde sorteering genetiese algoritme en toegepas op 'n hipotetiese basislyn rioolstelsel probleem. Die resultate toon dat die drie-objektief optimalisering benadering die beste oplossing vir die probleem lewer. Hierdie benadering word tans nie in die praktyk toegepas nie, as gevolg van sy inherente kompleksiteite. Desnieteenstaande, kan hierdie benadering in die toekoms die norm word.
Moumen, Chiraz. "Une méthode d'optimisation hybride pour une évaluation robuste de requêtes". Thesis, Toulouse 3, 2017. http://www.theses.fr/2017TOU30070/document.
Texto completoThe quality of an execution plan generated by a query optimizer is highly dependent on the quality of the estimates produced by the cost model. Unfortunately, these estimates are often imprecise. A body of work has been done to improve estimate accuracy. However, obtaining accurate estimates remains very challenging since it requires a prior and detailed knowledge of the data properties and run-time characteristics. Motivated by this issue, two main optimization approaches have been proposed. A first approach relies on single-point estimates to choose an optimal execution plan. At run-time, statistics are collected and compared with estimates. If an estimation error is detected, a re-optimization is triggered for the rest of the plan. At each invocation, the optimizer uses specific values for parameters required for cost calculations. Thus, this approach can induce several plan re-optimizations, resulting in poor performance. In order to avoid this, a second approach considers the possibility of estimation errors at the optimization time. This is modelled by the use of multi-point estimates for each error-prone parameter. The aim is to anticipate the reaction to a possible plan sub-optimality. Methods in this approach seek to generate robust plans, which are able to provide good performance for several run-time conditions. These methods often assume that it is possible to find a robust plan for all expected run-time conditions. This assumption remains unjustified. Moreover, the majority of these methods maintain without modifications an execution plan until the termination. This can lead to poor performance in case of robustness violation at run-time. Based on these findings, we propose in this thesis a hybrid optimization method that aims at two objectives : the production of robust execution plans, particularly when the uncertainty in the used estimates is high, and the correction of a robustness violation during execution. This method makes use of intervals of estimates around error-prone parameters. It produces execution plans that are likely to perform reasonably well over different run-time conditions, so called robust plans. Robust plans are then augmented with what we call check-decide operators. These operators collect statistics at run-time and check the robustness of the current plan. If the robustness is violated, check-decide operators are able to make decisions for plan modifications to correct the robustness violation without a need to recall the optimizer. The results of performance studies of our method indicate that it provides significant improvements in the robustness of query processing
Li, Fengfeng. "Multi-criteria optimization of group replacement schedules for distributed water pipeline assets". Thesis, Queensland University of Technology, 2014. https://eprints.qut.edu.au/66195/1/Fengfeng_Li_Thesis.pdf.
Texto completoHammoudan, Zakaria. "Production and delivery integrated scheduling problems in multi-transporter multi-custumer supply chain with costs considerations". Thesis, Belfort-Montbéliard, 2015. http://www.theses.fr/2015BELF0267/document.
Texto completoThe coordination of logistics activities in a supply chain has recently received a lot of attention in operationsmanagement research. In a typical supply chain, finished products are produced and either shipped to be temporarystorage or arrived directly on time to the customers. To achieve optimal operational performance, the coordinationand integration of production, delivery, and storage is an important consideration. The recent study consideredcustomer storage cost with fixed transportation cost or fixed batch size, which is unrealistic. In this thesis, we studythe coordinate of batching and scheduling activities, which includes the coordination of batching of products inbatches after the production stage, the coordination of scheduling, customer(s) orders which require the deliveryfrom the supplier, and the storage of products at the customer(s). This study focus on single-supplier/multi-customerscenario and single-supplier/multi-transporter scenario. For the first scenario with multi-customer, two modelsillustrate the transferring of batches to the customer. Where in the first model, we considered a singlesupplier/ multicustomerwith one capacitated transporter available to serve the customers without the vehicle routingconsideration. Then, in the second model, we considered a single-supplier/multi-customer with multi-transportavailable to serve the customers. In this case different assumption is proposed and compared in the last chapter.Concerning the second scenario, we studied the case of single-supplier with multi-transporter available to serve asingle customer. In this scenario, models with homogeneous and heterogeneous vehicles are studied. The totalsystem cost is calculated by summing the total delivery and storage cost for different customers and transporters inthe system. The number of products by batch is unequal and they are limited only by the capacity of the transporterused. The storage cost of the customers depends on the customer destination, the distance between the supplierand their customers depends on the customer location, which is the case of the delivery cost also which depends onthe customer¿s location. In the case of the multi-transporters, the delivery cost depends on the transporter used.In each model, we present the following: solution procedures to solve each model, many numerical examples tosupport mathematical findings and to clarify the problem under study, and performance comparisons amongdifferent findings. The future extension of this research may involve considering setup time and cost constraints inthe production stage, the vehicle routing consideration with inventory in the multi-customer case
Ortmann, Frank Gerald. "Modelling the South African fresh fruit export supply chain". Thesis, Stellenbosch : University of Stellenbosch, 2005. http://hdl.handle.net/10019.1/2745.
Texto completoThe process of modelling the fruit export infrastructure capacity of South Africa formed part of a larger project called the \Fruit Logistics Infrastructure Capacity Optimisation Study," which was coordinated by the Transportek division of the CSIR in Stellenbosch during the period August 2002 to March 2004. The aim of this project was to create efficiencies for, and enhance the competitiveness of, the South African fruit industry by improved usage of, and investment in, shared logistics infrastructure. After putting the size of the fruit industry into perspective, numerous aspects of the export process are considered in this thesis so as to be able to perform a comprehensive cost analysis of the export of fruit, including the cost of handling, cooling and transportation. The capacities of packhouses, cold stores and terminals are found and presented. This information, combined with fruit export volumes of 2003, then allow an estimation of the current utilisation of the South African ports with respect to fruit export.
Lissy, Pierre. "Sur la contrôlabilité et son coût pour quelques équations aux dérivées partielles". Phd thesis, Université Pierre et Marie Curie - Paris VI, 2013. http://tel.archives-ouvertes.fr/tel-00918763.
Texto completoOuali, Abdelkader. "Méthodes hybrides parallèles pour la résolution de problèmes d'optimisation combinatoire : application au clustering sous contraintes". Thesis, Normandie, 2017. http://www.theses.fr/2017NORMC215/document.
Texto completoCombinatorial optimization problems have become the target of many scientific researches for their importance in solving academic problems and real problems encountered in the field of engineering and industry. Solving these problems by exact methods is often intractable because of the exorbitant time processing that these methods would require to reach the optimal solution(s). In this thesis, we were interested in the algorithmic context of solving combinatorial problems, and the modeling context of these problems. At the algorithmic level, we have explored the hybrid methods which excel in their ability to cooperate exact methods and approximate methods in order to produce rapidly solutions of best quality. At the modeling level, we worked on the specification and the exact resolution of complex problems in pattern set mining, in particular, by studying scaling issues in large databases. On the one hand, we proposed a first parallelization of the DGVNS algorithm, called CPDGVNS, which explores in parallel the different clusters of the tree decomposition by sharing the best overall solution on a master-worker model. Two other strategies, called RADGVNS and RSDGVNS, have been proposed which improve the frequency of exchanging intermediate solutions between the different processes. Experiments carried out on difficult combinatorial problems show the effectiveness of our parallel methods. On the other hand, we proposed a hybrid approach combining techniques of both Integer Linear Programming (ILP) and pattern mining. Our approach is comprehensive and takes advantage of the general ILP framework (by providing a high level of flexibility and expressiveness) and specialized heuristics for data mining (to improve computing time). In addition to the general framework for the pattern set mining, two problems were studied: conceptual clustering and the tiling problem. The experiments carried out showed the contribution of our proposition in relation to constraint-based approaches and specialized heuristics
Lagnoux, Agnès. "Analyse des modeles de branchement avec duplication des trajectoires pour l'étude des événements rares". Toulouse 3, 2006. http://www.theses.fr/2006TOU30231.
Texto completoThis thesis deals with the splitting method first introduced in rare event analysis in order to speed-up simulation. In this technique, the sample paths are split into R multiple copies at various stages during the simulation. Given the cost, the optimization of the algorithm suggests to take the transition probabilities between stages equal to some constant and to resample the inverse of that constant subtrials, which may be non-integer and even unknown but estimated. First, we study the sensitivity of the relative error between the probability of interest P(A) and its estimator depending on the strategy that makes the resampling numbers integers. Then, since in practice the transition probabilities are generally unknown (and so the optimal resampling umbers), we propose a two-steps algorithm to face that problem. Several numerical applications and comparisons with other models are proposed
Awour, Emmanuel Otieno. "A conceptual model for managing supply networks for simultaneous optimisation in a complex adaptive environment : a case study of the floriculture industry in Kenya". Thesis, 2012. http://hdl.handle.net/10500/6735.
Texto completoBusiness Management
D.B.L. (Business Leadership)
Rossi, F., F. Manenti, C. Pirola y Iqbal M. Mujtaba. "A robust sustainable optimization & control strategy (RSOCS) for (fed-)batch processes towards the low-cost reduction of utilities consumption". 2015. http://hdl.handle.net/10454/7964.
Texto completoThe need for the development of clean but still profitable processes and the study of low environmental impact and economically convenient management policies for them are two challenges for the years to come. This paper tries to give a first answer to the second of these needs, limited to the area of discontinuous productions. It deals with the development of a robust methodology for the profitable and clean management of (fed-)batch units under uncertainty, which can be referred to as a robust sustainability-oriented model-based optimization & control strategy. This procedure is specifically designed to ensure elevated process performances along with low-cost utilities usage reduction in real-time, simultaneously allowing for the effect of any external perturbation. In this way, conventional offline methods for process sustainable optimization can be easily overcome since the most suitable management policy, aimed at process sustainability, can be dynamically determined and applied in any operating condition. This leads to a significant step forward with respect to the nowadays options in terms of sustainable process management, that drives towards a cleaner and more energy-efficient future. The proposed theoretical framework is validated and tested on a case study based on the well-known fed-batch version of the Williams-Otto process to demonstrate its tangible benefits. The results achieved in this case study are promising and show that the framework is very effective in case of typical process operation while it is partially effective in case of unusual/unlikely critical process disturbances. Future works will go towards the removal of this weakness and further improvement in the algorithm robustness.
Anton, Arun V. "Choice of discount rate and agency cost minimisation in capital budgeting: analytical review and modelling approaches". Thesis, 2019. https://vuir.vu.edu.au/40447/.
Texto completoHewitson, Christopher Michael. "Optimisation of water distribution systems using genetic algorithms for hydraulic and water quality issues / by Christopher Michael Hewitson". Thesis, 1999. http://hdl.handle.net/2440/19536.
Texto completoThesis (Ph.D.) -- University of Adelaide, Dept. of Civil and Environmental Engineering, 2000
Hewitson, Christopher Michael. "Optimisation of water distribution systems using genetic algorithms for hydraulic and water quality issues / by Christopher Michael Hewitson". 1999. http://hdl.handle.net/2440/19536.
Texto completoOne folded col. map in pocket on back endpaper.
Bibliography: leaves 348-368.
xx, 368 leaves : ill. (some col.), maps (some col.) ; 30 cm.
Title page, contents and abstract only. The complete thesis in print form is available from the University Library.
Develops a framework balancing water quality costs resulting from waterborne disease, disinfection by-product exposure and aesthetic concerns, against hydraulic costs, which include pipes, pumps and tanks. The genetic algorithms developed, successfully obtained the current optimal hydraulic solution, before adapting the model to incorporate water quality issues.
Thesis (Ph.D.)--University of Adelaide, Dept. of Civil and Environmental Engineering, 2000
Van, Graan Sebastian Jan. "Network configuration improvement and design aid using artificial intelligence". Diss., 2008. http://hdl.handle.net/2263/27625.
Texto completoDissertation (MEng)--University of Pretoria, 2008.
Electrical, Electronic and Computer Engineering
unrestricted