• Login
    View Item 
    •   SOAR Home
    • Graduate School
    • ETD: Electronic Theses and Dissertations
    • Master's Theses
    • View Item
    •   SOAR Home
    • Graduate School
    • ETD: Electronic Theses and Dissertations
    • Master's Theses
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Production scheduling applications to interruption-handling in healthcare

    Download
    Thesis
     
    Date
    2017-07
    Author
    Nemalikanti, Shrirama Chandra Murthy
    Metadata
    Show full item record
    Abstract
    In this study, single machine scheduling concepts with uncertain processing times and interruptions were reviewed to model and analyze the inpatient care task sequencing problem. The task sequencing problem involves answering the question of which task to perform next; upon completion of a task or when an interruption takes place. The two objectives considered are minimizing tardiness and minimizing distance walked by a nurse for the shift. Interruption handling actions identified from the literature and traditional dispatching rules will be used to develop task sequencing strategies depending on the system state at the time of the decision. A simulation model, developed using VBA Excel, and simulation-based experimentation were used to identify best-performing task sequencing strategies under different circumstances.
    Description
    Thesis (M.S.)--Wichita State University, College of Engineering, Dept. of Industrial, Systems and Manufacturing Engineering
    URI
    http://hdl.handle.net/10057/14534
    Collections
    • IME Theses and Dissertations [120]
    • CE Theses and Dissertations [716]
    • Master's Theses [1204]

    SOAR is a service of Wichita State University Libraries
    Contact Us | Send Feedback
    Site statistics 
     

     

    Browse

    All of SOARCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsTypeThis CollectionBy Issue DateAuthorsTitlesSubjectsType

    My Account

    LoginRegister

    Statistics

    View Usage Statistics

    SOAR is a service of Wichita State University Libraries
    Contact Us | Send Feedback
    Site statistics