Search for dissertations about: "data quality management"
Showing result 6 - 10 of 762 swedish dissertations containing the words data quality management.
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6. Corrective maintenance maturity model : problem management
Abstract : Maintenance has become one of the most complex, crucial and costly disciplines within software engineering. Despite this, very few maintenance process models have been suggested. The extant models are too general, covering all maintenance categories, i.e. READ MORE
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7. In Search of Quality Management : Rethinking and Reinterpreting
Abstract : Quality Management has, in addition to its establishment as a management discipline of organisational and industrial importance, instituted itself as a topic of national concern with nationwide surges and contractions in the dissemination of practices. Empirical data are examined in this thesis in relation to the current status and historical development of such trends among twelve leading industrial nations. READ MORE
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8. Data Importance in Power System Asset Management
Abstract : The current shift towards a higher degree of data-driven decision making in power system asset management highlights the importance of asset data. This thesis identifies, investigates, and proposes methods for data-related research gaps that are encountered by asset managers. These research gaps are in data availability and data quality. READ MORE
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9. Information Quality in Industrial Environmental Management: Defining and Managing Quality of Environmental Information
Abstract : This thesis aims to describe how quality of environmental information can be defined and managed to support industrial environmental management. Environmental information is used in industries to monitor and control the environmental aspects of products and processes. READ MORE
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10. Data-driven quality management using explainable machine learning and adaptive control limits
Abstract : In industrial applications, the objective of statistical quality management is to achieve quality guarantees through the efficient and effective application of statistical methods. Historically, quality management has been characterized by a systematic monitoring of critical quality characteristics, accompanied by manual and experience-based root cause analysis in case of an observed decline in quality. READ MORE