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Statistical quality assurance and control to evaluate analytical measurement system performance

Tsachouridis Angelos

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URIhttp://purl.tuc.gr/dl/dias/B9D32748-B947-4F70-99A0-0F6F898D8E66-
Identifierhttps://doi.org/10.26233/heallink.tuc.73040-
Languageen-
Extent145 pagesen
TitleStatistical quality assurance and control to evaluate analytical measurement system performanceen
CreatorTsachouridis Angelosen
CreatorΤσαχουριδης Αγγελοςel
Contributor [Thesis Supervisor]Pasadakis Nikosen
Contributor [Thesis Supervisor]Πασαδακης Νικοςel
Contributor [Committee Member]Christopoulos Dionysiosen
Contributor [Committee Member]Χριστοπουλος Διονυσιοςel
Contributor [Committee Member]Kallithrakas-Kontos Nikolaosen
Contributor [Committee Member]Καλλιθρακας-Κοντος Νικολαοςel
PublisherΠολυτεχνείο Κρήτηςel
PublisherTechnical University of Creteen
Academic UnitTechnical University of Crete::School of Mineral Resources Engineeringen
Academic UnitΠολυτεχνείο Κρήτης::Σχολή Μηχανικών Ορυκτών Πόρωνel
DescriptionΜεταπτυχιακή διατριβή που υποβλήθηκε στην σχολή ΜΗΧΟΠ του Πολυτεχνείου Κρήτης για την πλήρωση προϋποθέσεων λήψης Μεταπτυχιακού διπλώματος ειδίκευσης. el
Content SummaryQuality is an important factor when it comes to any product or service. With the high market competition, quality has become the main differentiator for almost all products and services. Quality control and assurance are essential in building a successful business that delivers products that meet or exceed the expectations of the customers. The quality of data must be known and established before it can be used in any application. Data quality may be judged on the basis of its quantitative accuracy and on the confidence that can be placed in the qualitative identification of the parameters measured. In order to be able to use the results generated from a measurement process with confidence, the fitness – for – use of these results must be evaluated. This can be achieved by regular application of the measurement process to quality control samples, as well as engaging the measurement process in regular interlaboratory testing programs (round robin studies). This requires the production of data in a quality control program that permits the assignment of its statistically supported limits of uncertainty. The essential features of such a program, which consists of statistical quality control techniques, are discussed in this project that focuses on how an overall statistical quality control procedure should be conducted, fully or partially, by any engineer and in almost every laboratory environment, based on certified standards. The program that was written in Matlab was used for the fulltime evaluation of a Rock – Eval pyrolysis apparatus and a GC – MS apparatus. In order to describe as best as possible the general statistical quality control design, a description of a Ruggedness test is also included and finally, the statistical procedure with which firstly outliers can be detected in the results of an Interlaboratory – round robin test, and after their discarding, the final precision statement (in terms of repeatability and reproducibility) is also described. The precision statistics of a round robin study are indicatively implemented by a small Matlab code on a series of interlaboratory data results related to the different properties of an oil lubricant sample.en
Type of ItemΜεταπτυχιακή Διατριβήel
Type of ItemMaster Thesisen
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2018-03-15-
Date of Publication2017-
SubjectQuality control rocken
SubjectEval GC- MSen
Bibliographic CitationAngelos Tsachouridis, "Statistical quality assurance and control to evaluate analytical measurement system performance", Master Thesis, School of Mineral Resources Engineering, Technical University of Crete, Chania, Greece, 2017en

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