search query: @keyword SPC / total: 28
reference: 10 / 28
Author: | Wulff, Tommi |
Title: | Tilastollisen laadunvalvonnan työkalut sataprosenttisessa reaaliaikamittauksessa |
Statistical tools for quality control at 100% real-time measurement | |
Publication type: | Master's thesis |
Publication year: | 2011 |
Pages: | vii + 72 s. + liitt. Language: fin |
Department/School: | Koneenrakennustekniikan laitos |
Main subject: | Auto- ja työkonetekniikka (Kon-16) |
Supervisor: | Juhala, Matti |
Instructor: | Tuominen, Valtteri |
OEVS: | Electronic archive copy is available via Aalto Thesis Database.
Instructions Reading digital theses in the closed network of the Aalto University Harald Herlin Learning CentreIn the closed network of Learning Centre you can read digital and digitized theses not available in the open network. The Learning Centre contact details and opening hours: https://learningcentre.aalto.fi/en/harald-herlin-learning-centre/ You can read theses on the Learning Centre customer computers, which are available on all floors.
Logging on to the customer computers
Opening a thesis
Reading the thesis
Printing the thesis
|
Location: | P1 Ark Aalto 3999 | Archive |
Keywords: | SPC statistical quality control Real-Time measurement SPC tilastollinen laadunvalvonta reaaliaikamittaus |
Abstract (eng): | Statistical quality control has since its early days relied heavily on the assumption that the production of a stable process can be monitored by measuring the quality of the samples of production and thus to estimate the quality of production. Development of measurement techniques has provided possibility to measure the entire production. With 100% Real-Time measurement the whole production can be measured, without the need to estimate the quality of production. This paper examines the suitability of statistical quality tools for 100% Real-Time measurement. Studied methods are the discrete model, running average, Student's t-test and x2-test. The study showed that the Student's t-test is best suited to the transition of the average of the process. Standard deviation growth was best seen with x2-test. |
Abstract (fin): | Tilastollinen laadunvalvonta on sen alkuajoista lähtien vahvasti nojautunut oletukseen, että tuotantoprosessin ollessa stabiili voidaan prosessin laatua valvoa mittaamalla otoksia tuotannosta ja näin estimoida tuotannon laatua. Mittaustekniikoiden kehittyessä on tullut mahdollisuus mitata koko tuotanto. Sataprosenttisella reaaliaikamittauksella voidaan mitata koko tuotanto ilman, että tuotannon laatua tarvitsee estimoida. Tässä työssä tutkitaan tilastollisten laadunvalvontatyökalujen soveltuvuutta sataprosenttiseen reaaliaikamittaukseen. Työssä tutkittavat menetelmät ovat diskreetti sääntömalli, juokseva keskiarvo, Studentin t-testi ja x2-testi. Tutkimuksen perusteella voitiin todeta, että Studentin t-testi soveltuu parhaiten prosessin keskiarvon siirtymisen tarkkailumenetelmäksi. Keskihajonnan kasvun tarkkailuun parhaiten soveltui x2-testi. |
ED: | 2012-01-25 |
INSSI record number: 43843
+ add basket
INSSI