Reducing the amount of defects at the quality control station by using statistical process control

dc.contributor.authorVan Loggerenberg, Nichole
dc.date.accessioned2019-02-04T13:09:09Z
dc.date.available2019-02-04T13:09:09Z
dc.date.created2019
dc.date.issued2017
dc.descriptionMini Dissertation (B Eng. (Industrial and Systems Engineering))--University of Pretoria, 2017.en_ZA
dc.description.abstractThe aim of this document is to provide the reader with information regarding the quality problems the company Parsec (Pty) Ltd experiences in their manufacturing facility, and the solution to solving this problem. Research has been done in order to understand what companies in the same industry with similar problems have done to address the problem. The document first provides the background of the company and its related industry. The problem investigation follows, with detailed information regarding the production process of producing electronic printed circuit boards. After this, a thorough literature study is presented, with technical aspects of printed circuit boards, as well as an investigation into the case studies regarding companies with similar problems. Relevant data was then captured and analysed, after which a demonstration of the solution to reducing defects on printed circuit boards, follows. With the limited data captured and analysed in this project, it can be concluded that Parsec has to focus energy in investigating the reason for the significant amount of missing components, damaged components, and dry joints on their PCBs. Further, the solution will aid production managers in monitoring future defects on the PCBs. Once a defect to be reduced has been identified, it would be recommended for Parsec’s technicians to use SPC as well to monitor and control the characteristics of that specific defect.en_ZA
dc.format.mediumPDFen_ZA
dc.identifier.urihttp://hdl.handle.net/2263/68386
dc.languageen
dc.language.isoenen_ZA
dc.publisherUniversity of Pretoria. Faculty of Engineering, Built Environment and Information Technology. Dept. of Industrial and Systems Engineeringen_ZA
dc.rights© 2017 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria.en_ZA
dc.subjectMini-dissertations (Industrial and Systems Engineering)en_ZA
dc.subjectPrinted Circuit Boarden_ZA
dc.subjectStatistical Process Controlen_ZA
dc.subjectDefectsen_ZA
dc.titleReducing the amount of defects at the quality control station by using statistical process controlen_ZA
dc.typeMini Dissertationen_ZA

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