Global ETD Search

1	Vers une amélioration de l’analyse des données et une optimisation des plans d’expérience pour une analyse quantitative du risque en écotoxicologie / Towards an improvment of data analysis and experimental design optimisation for ecotoxicology risk assessment Dubuc, Carole 27 March 2013 (has links) En écotoxicologie, les effets des substances toxiques sur les organismes vivants sont classiquement mesurés au niveau individuel, en laboratoire et selon des normes, ce qui assure la reproductibilité des bioessais et le contrôle des facteurs environnementaux. Ces tests standardisés, en toxicité aiguë ou chronique, portent généralement sur la survie, la reproduction et la croissance d'organismes modèles de laboratoire ; leur analyse statistique conduit à l'estimation de concentrations critiques d'effet. Ce sont ces concentrations qui sont utilisées en analyse quantitative du risque en écotoxicologie. Cependant, pour l'estimation d'un même type de concentration critique d'effet, différentes méthodes/modèles peuvent être utilisés qui sont plus ou moins adaptés en fonction du type de jeux de données. Le premier objectif de ce travail de thèse est donc de sélectionner les méthodes/modèles les plus adaptés afin d'améliorer l'analyse des données issus des tests de toxicité et donc l'estimation des concentrations critiques d'effet. Habituellement, les jeux de données sont construits à partir de tests standards en fonction de l'organisme étudié : la durée du test est généralement fixée et des recommandations sont faites, par exemple sur le nombre minimal d'organismes à exposer à un nombre minimal de concentrations. Il est donc légitime de penser que ces recommandations ne sont pas forcément les plus adaptées pour toutes les concentrations critiques d'effet et les méthodes/modèles les plus adaptés. C'est pourquoi, le deuxième objectif de cette thèse est d'optimiser les plans d'expérience afin d'aller soit vers une amélioration des estimations des concentrations critiques d'effet à coût constant soit pour un même niveau de qualité des estimations, d'éviter le gaspillage en temps et en organismes / In ecotoxicology, the effects of toxic compounds on living organisms are usually measured at the individual level, in the laboratory and according to standards. This ensures the reproducibility of bioassays and the control of environmental factors. Bioassays, in acute or chronic toxicity, generally apply to survival, reproduction and growth of organisms. The statistical analysis of standardized bioassays classically leads to the estimation of critical effect concentrations used in risk assessment. Nevertheless, several methods/models are used to determine a critical effect concentration. These methods/models are more and less adapted to the data type. The first aim of this work is to select the most adapted methods/models to improve data analysis and so the critical effect concentration estimation. Usually, data sets are built from standard bioassays and so follow recommendations about exposure duration, number and range of tested concentrations and number of individuals per concentration. We can think that these recommendations are not the most adapted for each critical effect concentration and each method/model. That’s why, the second aim of this work is to optimize the experimental design in order to improve the critical effect concentration estimations for a fixed cost or at least to reduce the waste of time and organisms Concentration critique d’effet Modélisation Optimisation des plans d’expérience Critical effect concentration Modeling Experimental design optimization 570.15
2	Key Characteristics as a Practice toAchieve Robust Design : A case study in the aerospace industry / Användande av nyckelegenskaper för att uppnå robust konstruktion : En fallstudie inom flygindustrin Berglund, Jacob, Ericsson, Martin January 2014 (has links) Continuous technological development and increasing efficiency demands are driving products toward becoming more and more complex. For the aerospace industry - where the requirements for performance, safety and low environmental impact already are substantial - this means that more extensive quality assurance measures must be taken to ensure the fulfillment of the requirements of each individual component.However, to avoid that the work with quality improvement become too extensive and increase the product cost to unbearable levels it is necessary to have methods to prioritize and focus improvement efforts on the product features that matters most for fulfilling customer requirements. Therefore, the concept of Key Characteristics is used today, both in the aerospace and other industries; a term for those characteristics that have a significant impact on requirement compliance and whose outcomes at the same time are expected to vary considerably in manufacturing.The concept itself is similar among those who use it but the purpose of and methodology for identifying and managing Key Characteristics vary, even within the same industry. This thesis is therefore aimed to create a view of which factors that characterize an effective and efficient way for companies in the aerospace industry to work with Key Characteristics. The thesis involves a case study to create a framework for how companies within this industry work with Key Characteristics, a literature review to see which approaches are advocated by previous research and two benchmark studies to see examples of how Key Characteristics are used and handled in practice in industry.The results show that the work of Key Characteristics should meet three main criteria in order to be effective and efficient: • it must be clearly focused on the characteristics that have critical impact on customer requirements and at the same time considerable variation in production, • it should be initiated early in the product development process and then performed iteratively during the process of continuously reducing variation problems in manufacturing, and • it should identify Key Characteristics using both qualitative and quantitative tools to best capture all different kinds of requirements on the product.Finally a practical example is given of how the work with Key Characteristics should look like at GKN Sweden AB, the case study company in the aerospace industry, to effectively minimize the costs associated with production variation, and yet satisfy all customer requirements. / <p>Validerat; 20140811 (global_studentproject_submitter)</p> Technology Teknik Robust Design Design for robustness Key characteristics Key Characteristic Aerospace GKN Aircraft Variation AS9103 Variation management Risk Volvo Saab Variation risk management Flight safety Safety Flow-down Thornton Critical item Critical Item Characteristics Proactive VRM CI KC Risk mitigation Flowdown Product development Development Product characteristics Product defects Defect Deviation Variation cost Quality Critical effect PDP

Search results

Vers une amélioration de l’analyse des données et une optimisation des plans d’expérience pour une analyse quantitative du risque en écotoxicologie / Towards an improvment of data analysis and experimental design optimisation for ecotoxicology risk assessment

Key Characteristics as a Practice toAchieve Robust Design : A case study in the aerospace industry / Användande av nyckelegenskaper för att uppnå robust konstruktion : En fallstudie inom flygindustrin