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Showing result 1 - 5 of 3754 swedish dissertations matching the above criteria.

  1. 1. Contributions to the Use of Statistical Methods for Improving Continuous Production

    Author : Francesca Capaci; Erik Vanhatalo; Bjarne Bergquist; Murat Kulahci; Johan Carlson; Luleå tekniska universitet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Process industry; Continuous process; Statistical process control; Design of experiments; Process improvements; Simulation tool; Engineering process control; Kvalitetsteknik; Quality Technology Management;

    Abstract : Complexity of production processes, high computing capabilities, and massive datasets characterize today’s manufacturing environments, such as those of continuous andbatch production industries. Continuous production has spread gradually acrossdifferent industries, covering a significant part of today’s production. READ MORE

  2. 2. Quantifying Process Quality : The Role of Effective Organizational Learning in Software Evolution

    Author : Sebastian Hönel; Morgan Ericsson; Welf Löwe; Anna Wingkvist; Miroslaw Staron; Linnéuniversitetet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Software Size; Software Metrics; Commit Classification; Maintenance Activities; Software Quality; Process Quality; Project Management; Organizational Learning; Machine Learning; Visualization; Optimization; Software Technology; Programvaruteknik; Informations- och programvisualisering; Information and software visualization; Computer Science; Datavetenskap; Statistics Econometrics; Statistik;

    Abstract : Real-world software applications must constantly evolve to remain relevant. This evolution occurs when developing new applications or adapting existing ones to meet new requirements, make corrections, or incorporate future functionality. READ MORE

  3. 3. Quality management : National or global driving factors

    Author : Dag Kroslid; Linköpings universitet; []
    Keywords : SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; Quality Management; Quality Development; Business Excellence; Total Quality Management; Culture; Hofstede;

    Abstract : Around the world Quality Management is commonly regarded by industrialists and academics as a management concept that encompasses the potential in any organisation of developing into a company-wide philosophy with a profound focus on stakeholder values and improvement processes. However, there are mounting evidence that Quality Management has developed into an important strategic issue also on a national level, and that some leading industrial nations have enjoyed significant gains in the post War era by means of nation-wide progresses in Quality Management. READ MORE

  4. 4. Flood Hazard Assessment in Data-Scarce Basins : Use of alternative data and modelling techniques

    Author : Diana Fuentes-Andino; Sven Halldin; Chong-Yu Xu; Keith Beven; Giuliano Di Baldassarre; Wouter Buytaert; Uppsala universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Central America; floods; data scarcity; data quality; uncertainty analysis; regionalisation; flood frequency analysis; GLUE; hydraulic modelling; rainfall-runoff modeling; TOPMODEL; LISFLOOD-FP; GRADEX; index-flood; Muskingum-Cunge-Todini flow routing; Mellanamerika; högflöde; datakvalitet; osäkerhetsanalys; regionalisering; frekvensanalys av högflöden; GLUE; hydraulisk modellering; nederbörds-avrinningsmodeller; TOPMODEL; LISFLOOD-FP; GRADEX; indexflöde; Muskingum-Cunge-Todini flödessvarstid; Central América; inundaciones; escasez de datos; calidad de los datos; análisis de incertidumbre; regionalización; análisis de frequencia de inundación; GLUE; modelación hidraulica; modelo de lluvia-escorrentía; TOPMODEL; LISFLOOD-FP; GRADEX; índice de inundación; Muskingum-Cunge-Todini rutina de propagación de flujo;

    Abstract : Flooding is of great concern world-wide, causing damage to infrastructure, property and loss of life. Low-income countries, in particular, can be negatively affected by flood events due to their inherent vulnerabilities. Moreover, data to perform studies for flood risk management in low-income regions are often scarce or lacking sufficient quality. READ MORE

  5. 5. Data management and Data Pipelines: An empirical investigation in the embedded systems domain

    Author : Aiswarya Raj Munappy; Chalmers tekniska högskola; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; data management; empirical investigation; artificial intelligence; data pipelines; embedded systems; software engineering; machine learning;

    Abstract : Context: Companies are increasingly collecting data from all possible sources to extract insights that help in data-driven decision-making. Increased data volume, variety, and velocity and the impact of poor quality data on the development of data products are leading companies to look for an improved data management approach that can accelerate the development of high-quality data products. READ MORE