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Visar resultat 1 - 5 av 22 avhandlingar som matchar ovanstående sökkriterier.

  1. 1. Observational Uncertainties in Water-Resources Modelling in Central America : Methods for Uncertainty Estimation and Model Evaluation

    Författare :Ida Westerberg; Sven Halldin; Jan Seibert; Lars-Christer Lundin; Chong-Yu Xu; Deliang Chen; Alberto Montanari; Uppsala universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Central America; Discharge; Flow-duration curve; Fuzzy regression; GLUE; Model evaluation; Non-stationarity; Observational uncertainty; Precipitation; Quality control; Rating curve; Regionalisation; Uncertainty estimation; Ungauged basins; Water resources; Avbördningskurva; Centralamerika; GLUE; icke-stationaritet; kvalitetskontroll; modellutvärdering; nederbörd; observationsosäkerheter; avrinningsområden utan vattenfö-ringsdata; oskarp regression; osäkerhetsuppskattning; regionalisering; varaktighetskurva; vattenföring; vattenresurser; Hydrology; Hydrologi; Hydrology; Hydrologi;

    Sammanfattning : Knowledge about spatial and temporal variability of hydrological processes is central for sustainable water-resources management, and such knowledge is created from observational data. Hydrologic models are necessary for prediction for time periods and areas lacking data, but are affected by observational uncertainties. LÄS MER

  3. 2. The existence of logistics quality deficiencies and the impact of information quality in the dyadic order fulfillment process

    Författare :Helena Forslund; Mats Abrahamsson; Linköpings universitet; []
    Nyckelord :SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; logistics quality; quality deficiencies; performance management; order fulfillment process; information quality; logistik; kvalitetskontroll; SOCIAL SCIENCES; SAMHÄLLSVETENSKAP; Logistics;

    Sammanfattning : Measuring logistics quality is related to meeting customer expectations and needs, regardless of what those may be. Both over- and under-performance of logistics quality were found in previous studies. Diverging perceptions of logistics performance between customer and supplier were also fo.und in previous studies. LÄS MER

  4. 3. Disinformative and Uncertain Data in Global Hydrology : Challenges for Modelling and Regionalisation

    Författare :Anna Kauffeldt; Sven Halldin; Allan Rodhe; Chong-Yu Xu; András Bárdossy; Uppsala universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Data uncertainty; Discharge; Disinformative data; Evaporation; Flow-duration curve; Global hydrology; Neural networks; Numerical weather prediction; Precipitation; Quality control; Regionalisation; Ungauged basins; Water balance; Avdunstning; avrinningsområden utan vattenföringsdata; dataosäkerhet; desinformativa data; global hydrologi; kvalitetskontroll; nederbörd; neurala nät; numerisk vädermodell; regionalisering; varaktighetskurva; vattenbalans; vattenföring; Hydrology; Hydrologi;

    Sammanfattning : Water is essential for human well-being and healthy ecosystems, but population growth and changes in climate and land-use are putting increased stress on water resources in many regions. To ensure water security, knowledge about the spatiotemporal distribution of these resources is of great importance. LÄS MER

  5. 4. Val och användning av styrmedel : en studie av byggnadsnämndens tillsyn

    Författare :Tage Klingberg; Stockholms universitet; []
    Nyckelord :SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; Byggnadsnämnder; Husbyggnad; inspektion och kontroll; Kvalitetskontroll; byggnadsarbeten;

    Sammanfattning : Skriften redovisar en studie av byggnadsnämnders verksamhet, dvs byggnadslovsgranskning och byggnadsinspektion. Syftet har varit att undersöka hur styrningen går till i praktiken och hur den varierar. Sex kommuner har undersökts. Bl a har direkta observationer av tjänstemännens möten med klienterna gjorts. LÄS MER

  7. 5. Data-driven quality management using explainable machine learning and adaptive control limits

    Författare :Niklas Fries; Patrik Rydén; Jun Yu; Rebecka Jörnsten; Umeå universitet; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; quality management; machine learning; local explanation methods; process adjustment policies; simulation; matematisk statistik; Mathematical Statistics; data science; data science;

    Sammanfattning : 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. LÄS MER