World Library  



Quality Management


Quality management can be considered to have four main components: quality planning, quality control, quality assurance and quality improvement.[1] Quality management is focused not only on product/service quality, but also the means to achieve it. Quality management therefore uses quality assurance and control of processes as well as products to achieve more consistent quality.

 
  • Cover Image

Relative Risk Site Evaluation Quality Assurance Plan

By: Department of Defense

Government Reference Publication

Excerpt: The goal of quality assurance (QA) for relative risk site evaluations1 is to provide assurance that evaluations are being performed throughout the Department of Defense (D.O.D.) in accordance with the procedures and requirements established in the Relative Risk Site Evaluation Primer.2 Development and implementation of the QA plan is essential in order to establish and preserve the credibility of the relative risk site evaluations. It is critical that there be a...

Read More
  • Cover Image

Quality Assurance of the Brewer Uv Measurements in Finland : Volum...

By: J. Gröbner; T. Koskela; A. Arola; J. Kaurola; K. Lakkala; A. Tanskanen; G. Hülsen; A. Lindfors; A. Heikkilä; E. Kyrö; O. Meinander

Description: Finnish Meteorological Institute, Arctic Research Centre, Sodanlylä, Finland. The quality assurance of the two Brewer spectrophotometers of the Finnish Meteorological Institute is discussed in this paper. The complete data processing chain from raw signal to high quality spectra is presented. The quality assurance includes daily maintenance, laboratory characterizations, calculation of long term spectral responsivity, data processing and quality as...

Arola, A., Kaurola, J., Koskinen, L., Tanskanen, A., Tikkanen, T., Taalas, P., Herman, J., Krotkov, N., and Fioletov, V.: A new approach to estimate the albedo for snow-covered surface in space-borne retrieval method, J. Geophys. Res., 108, 4531, \doi10.1029/2003JD003492, 2003a.; Arola, A., Lakkala, K., Bais, A., Kaurola, J., Meleti, C., and Taalas, P.: Factors affecting short- and long-term changes of spectral UV irradiance at two European stations, J. Geophys. Res., 10...

Read More
  • Cover Image

Quality Control of 10-min Soil Temperatures Data at Rmi : Volume 1...

By: C. Bertrand; L. González Sotelino; M. Journée

Description: Royal Meteorological Institute of Belgium, Brussels, Belgium. Soil temperatures at various depths are unique parameters useful to describe both the surface energy processes and regional environmental and climate conditions. To provide soil temperature observation in different regions across Belgium for agricultural management as well as for climate research, soil temperatures are recorded in 13 of the 20 automated weather stations operated by the Royal ...

Bertrand, C., Gonzalez Sotelino, L., and Journée, M.: Quality control of 10-min air temperature data at RMI, Adv. Sci. Res., 10, 1–5, doi:10.5194/asr-10-1-2013, 2013.; Best, M. J., Cox, P. M., and Warrilow, D.: determining the optimal soil temperature scheme for atmospheric modeling applications, Bound.-Lay. Meteorol., 114, 111–142, 2005.; Gandin, L. S.: Complex quality control of meteorological observations, Mon. Weath...

Read More
  • Cover Image

Quality Control Procedures at Euskalmet Data Center : Volume 8, Is...

By: M. Maruri; R. Hernández; S. Gaztelumendi; K. Otxoa De Alda; J. Egaña

Description: Basque Meteorology Agency (EUSKALMET), Vitoria-Gasteiz, Spain. The Basque Country Mesonet measures more than 130 000 observations daily from its 85 Automatic Weather Stations (AWS). It becomes clear that automated software is an indispensable tool for quality assurance (QA) of this mesoscale surface observing network. This work describes a set of experimental semi-automatic quality control (QC) routines that is applied at Euskalmet data center. It has p...

Fiebrich, D. S., Morgan, C. R., McCombs, A. G., Hall, P. K., and McPeherson, R. A.: Quality assurance procedures for mesocale meteorological data, J. Atmos. Ocean. Tech., 27, 1565–1582, 2010.; Goovaerts, P.: Geostatistics for Natural Resources Evaluation, Applied Geostatistics Series, Oxford University Press, New York, 483 pp., 1997.; Gaztelumendi, S., Hernández, R., and Otxoa de Alda, K.: Some aspects on the operative use of the automatic stations network of the Basque ...

Read More
  • Cover Image

Advanced Information Criterion for Environmental Data Quality Assu...

By: A. Hense; A. Düsterhus

Description: Meteorological Institute of the University of Bonn, Auf dem Hügel 20, 53121 Bonn, Germany. A new method for testing time series of environmental data for internal inconsistencies is presented. The method divides the dataset into several disjunct blocks. By means of a comparison of the blocks' estimated probability density distributions, each block is compared with the others. In order to judge the differences, four different measures are used and compare...

Ducr{é}-Robitaille, J.-F., Vincent, L. A., and Boulet, G.: Comparison of techniques for detection of discontinuities in temperature series, Int. J. Climatol., 23, 1087–1101, 2003.; Durre, I., Menne, M. J., Gleason, B. E., Houston, T. G., and Vose, R. S.: Comprehensive Automated Quality Assurance of Daily Surface Observations, J. Appl. Meteorol. Clim., 49, 1615–1633, 2010.; Endres, D. M. and Schindelin, J. E.: A new metric for probability distributions, IEEE T. Inform. Th...

Read More
  • Cover Image

Quality Control Procedures and Methods of the Carina Database : Vo...

By: R. M. Key; S. Van Heuven; C. Schirnick; A. Olsen; T. Tanhua; A. Velo

Description: Leibniz-Institut für Meereswissenschaften, Marine Biogeochemie, Kiel, Germany. Data on the carbon and carbon relevant hydrographic and hydrochemical parameters from previously not publicly available cruises in the Arctic, Atlantic and Southern Ocean have been retrieved and merged to a new data base: CARINA (CARbon IN the Atlantic). These data have gone through rigorous quality control (QC) procedures to assure the highest possible quality and consistenc...

Gouretski, V. V. and Jancke, K.: Systematic errors as the cause for an apparent deep water property variability: global analysis of the WOCE and historical hydrographic data, Prog. Oceanogr., 48, 337–402, 2001.; Johnson, G. C., Robbins, P. E., and Hufford, G. E.: Systematic adjustments of hydrographic sections for internal consistency, J. Atmos. Ocean. Technol., 18, 1234–1244, 2001.; Key, R. M., Kozyr, A., Sabine, C. L., Lee, K., Wanninkhof, R., Bullister, J. L., Feely, ...

Read More
  • Cover Image

Quality Control Procedures and Methods of the Carina Database : Vo...

By: A. Velo; C. Schirnick; R. M. Key; T. Tanhua; A. Olsen; S. Van Heuven

Description: Leibniz-Institut für Meereswissenschaften, Marine Biogeochemie, Kiel, Germany. Data on the carbon and carbon relevant hydrographic and hydrochemical parameters from previously not publicly available cruises in the Arctic, Atlantic and Southern Ocean have been retrieved and merged to a new data base: CARINA (CARbon IN the Atlantic). These data have gone through rigorous quality control (QC) procedures to assure the highest possible quality and consistenc...

Gouretski, V. V. and Jancke, K.: Systematic errors as the cause for an apparent deep water property variability: global analysis of the WOCE and historical hydrographic data, Prog. Oceanogr., 48, 337–402, 2001.; Johnson, G. C., Robbins, P. E., and Hufford, G. E.: Systematic adjustments of hydrographic sections for internal consistency, J. Atmos. Ocean. Technol., 18, 1234–1244, 2001.; Key, R. M., Kozyr, A., Sabine, C. L., Lee, K., Wanninkhof, R., Bullister, J. L., Feely, ...

Read More
  • Cover Image

Innovations and Applications of the Vera Quality Control : Volume ...

By: R. Steinacker; D. Mayer; A. Steiner

Description: Department of Meteorology and Geophysics, University of Vienna, Vienna, Austria. Quality control (QC) is seen today as an important scientific field to increase the value of observational data. Whereas most QC methods are linked to atmospheric modeling (being part of the data assimilation procedure), in this paper the focus is on the application of a model independent QC method based on data self consistency recently published: VERA-QC. A special challe...

Adler, S.: D}atenkontrolle der {ZAMG mit dem P}rüfprogramm {QUALIMET von der {F}irma {E}rnst {B}asler & {P}artner, internal report, Vienna, Austria, 2009.; Andersson, E. and Järvinen, H.: {V}ariational quality control. Q. J. Roy. Meteorol. Soc., 125, 697–722, 1999.; Bica, B., Steinacker, R., Lotteraner, C., and Suklitsch, M.: A new concept for high resolution temperature analysis over complex terrain, Theor. Appl. Climatol., 90, 173–183, 2007.; Gandin, L. S.: {C}omplex {...

Read More
  • Cover Image

Innovations and Applications of the Vera Quality Control : Volume ...

By: A. Steiner; D. Mayer; R. Steinacker

Description: Department of Meteorology and Geophysics, University of Vienna, Vienna, Austria. Quality Control (QC) is seen today as an important scientific field to increase the value of observational data. Whereas most QC methods are linked to atmospheric modelling (being part of the data assimilation procedure), in this paper the focus is on the application of a model independent QC method based on data self consistency recently published: VERA-QC. A special chall...

Andersson, E. and Järvinen, H.: {V}ariational quality control. Q. J. Roy. Meteorol. Soc., 125, 697–722, 1999.; Adler, S.: Datenkontrolle der ZAMG mit dem Prüfprogramm QUALIMET von der Firma Ernst Basler & Partner, Central Institute for Meteorology and Geodynamics, Vienna, internal report, 30 pp., 2009.; Bica, B., Steinacker, R., Lotteraner, C., and Suklitsch, M.: A new concept for high resolution temperature analysis over complex terrain., Theor. Appl. Climatol., 90, 173...

Read More
  • Cover Image

Vgi Quality Control : Volume Ii-3/W5, Issue 1 (20/08/2015)

By: G. Foody; L. Bastin; P. Mooney; C. C. Fonte; N. Kerle; A.-m. Olteanu-raimond; L. See; T. Kellenberger

Description: Department of Mathematics, University of Coimbra/INESC Coimbra, Coimbra, Portugal. This paper presents a framework for considering quality control of volunteered geographic information (VGI). Different issues need to be considered during the conception, acquisition and post-acquisition phases of VGI creation. This includes items such as collecting metadata on the volunteer, providing suitable training, giving corrective feedback during the mapping process an...

Read More
  • Cover Image

Terrestrial Method for Airborne Lidar Quality Control and Assessme...

By: N. El-sheimy; M. M. Elhabiby; N. M. Alsubaie; H. M. Badawy

Description: Department of Geomatics Engineering, University of Calgary, Calgary, Alberta, T2N 1N4, Canada. Most of LiDAR systems do not provide the end user with the calibration and acquisition procedures that can use to validate the quality of the data acquired by the airborne system. Therefore, this system needs data Quality Control (QC) and assessment procedures to verify the accuracy of the laser footprints and mainly at building edges. This research paper introdu...

Read More
  • Cover Image

Quality Management of Reference Geo-information : Volume Xl-2/W1, ...

By: R. Patrucco; M. Beare; A. Jakobsson; A. Hopfstock

Description: Development Centre, National Land Survey of Finland, P.O. Box 84, 00521 Helsinki, Finland. This paper will introduce how quality of geo-information can be managed when the production environment is no longer inside one organization (e.g. collection of data is contracted out) or data is compiled from various sources like in case of Spatial Data Infrastructures (SDIs). The bases for quality management of reference geo-information are discussed using three vi...

Read More
  • Cover Image

Quality Control of Dlg and Map Product : Volume Xl-2/W1, Issue 1 (...

By: P. Wang; L. B. Zhao; X. C. Guo; J. Y. Yu

Description: The First Institute of Photogrammetry and Remotes Sensing, Xi'an, China. The product of DLGM is a vector dataset of DLG and map, and is software independent, which is produced by our DLGM integrated technology system. This product has been included in the fundamental Geographic Information system (GIS), and confirmed by the mapping industry with its advantages of the integration, commonality, and multi-purpose. As a new kind product of digital map, it inv...

Read More
  • Cover Image

Harmonisation Initiatives of Copernicus Data Quality Control : Vol...

By: T. Lankester; G. Ottavianelli; E. Coleman; F. D. Vescovi

Description: Airbus Defence and Space, Europa House, The Crescent, Farnborough, GU14 0NL - UK. The Copernicus Space Component Data Access system (CSCDA) incorporates data contributions from a wide range of satellite missions. Through EO data handling and distribution, CSCDA serves a set of Copernicus Services related to Land, Marine and Atmosphere Monitoring, Emergency Management and Security and Climate Change.

The quality of the delivered EO products is th...

Read More
  • Cover Image

Epa New England Quality Assurance Project Plan Program Guidance

By: Environmental Protection Agency

Excerpt: Preface: The EPA New England Quality Assurance Unit implements a Quality Assurance Project Plan (QAPP) Program in accordance with EPA Order 5360.1 A2, May 2000. Among other requirements, the ?QA Order? requires the development, review and approval of QAPPs for all environmental data operations performed by or for EPA. The term ?environmental data operations? refers to activities involving the collection, generation, compilation, analysis, evaluation and use of e...

Read More
  • Cover Image

Nato Quality Assurance

By: Department of Defense

Government Reference Publication

Excerpt: This Instruction prescribes policies and procedures for the ... 1.1. Assignment of memberships to North Atlantic Treaty Organization (NATO) quality assurance (QA) groups 1.2. Coordination of NATO Standardization Agreements (STANAGs) and QA subjects, Allied Quality Assurance Publications (AQAPS), and other NATO QA documents ... 1.3. Establishment and operation of a central D.O.D. file of all NATO quality assurance documents and correspondence.

Read More
  • Cover Image

Quality Assurance

By: David L. Smith

Role of Laboratory Quality Assurance Program...

Read More
  • Cover Image

Information Quality Control Request for Correction

By: Department of Health and Human Services

Information Quality Control Request for Correction...

Read More
  • Cover Image

Learning to Develop Statistical Models of Quality Control Processes

By: Irina Milnikov
Read More
  • Cover Image

Section 4 Quality Assurance

By: Environmental Protection Agency

Excerpt: 4.1 INTRODUCTION 4.1.1 Development and maintenance of a toxicity test laboratory quality assurance (QA) program (USEPA, 1991b) requires an ongoing commitment by laboratory management. Each toxicity test laboratory should (1) appoint a quality assurance officer with the responsibility and authority to develop and maintain a QA program, (2) prepare a quality assurance plan with stated data quality objectives (DQOs), (3) prepare written descriptions of laboratory s...

Read More
 
1
|
2
|
3
|
4
|
5
Records: 21 - 40 of 3,375 - Pages: 



Copyright © World Library Foundation. All rights reserved. eBooks from World Library are sponsored by the World Library Foundation,
a 501c(4) Member's Support Non-Profit Organization, and is NOT affiliated with any governmental agency or department.