• Login
    • Login
    Advanced Search
    View Item 
    •   UoN Digital Repository Home
    • Theses and Dissertations
    • Faculty of Science & Technology (FST)
    • View Item
    •   UoN Digital Repository Home
    • Theses and Dissertations
    • Faculty of Science & Technology (FST)
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Statistical Quality Control In Confectionery Industry And Its Application

    Thumbnail
    View/Open
    Abstract (7.577Kb)
    Date
    2013
    Author
    Kiarie, Joyce W.
    Type
    Thesis
    Language
    en
    Metadata
    Show full item record

    Abstract
    The purpose of this research was to study Statistical Quality Control in confectionery industry. The study involved a detailed description on the various confections manufacturing processes and identifying the relevant characteristics of measure. The characteristics were then grouped into variables and attributes which formed the basis of constructing the various control charts. It was after this that the Variable control charts ( X and R) were constructed and the Attributes control charts (u, c, p, np) were also constructed. The link between the various probability distributions were then clearly established and it strongly came out that probability distribution inform the kind of control chart to be used.
    URI
    http://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/59447
    Citation
    Masters of Science in Biometry, University of Nairobi, 2013.
    Publisher
    University of Nairobi
     
    School of Mathematics
     
    Collections
    • Faculty of Science & Technology (FST) [4213]

    Copyright © 2022 
    University of Nairobi Library
    Contact Us | Send Feedback

     

     

    Useful Links
    UON HomeLibrary HomeKLISC

    Browse

    All of UoN Digital RepositoryCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    LoginRegister

    Copyright © 2022 
    University of Nairobi Library
    Contact Us | Send Feedback