University of Maryland LibrariesDigital Repository at the University of Maryland
    • Login
    View Item 
    •   DRUM
    • Theses and Dissertations from UMD
    • UMD Theses and Dissertations
    • View Item
    •   DRUM
    • Theses and Dissertations from UMD
    • UMD Theses and Dissertations
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    A Simulation Approach to Modeling Contingency Strategies for Managing Electronic Part Supply Chain Disruptions

    Thumbnail
    View/Open
    Allison_umd_0117N_15245.pdf (5.145Mb)
    No. of downloads: 248

    Date
    2014
    Author
    Allison, Hannah
    Advisor
    Sandborn, Peter
    Metadata
    Show full item record
    Abstract
    Due to the nature of the manufacturing and support activities associated with long life cycle products, parts need to be dependably and consistently available. However, the parts that comprise long life cycle products are susceptible to a variety of supply chain disruptions. In order to minimize the impact of these unavoidable disruptions to product production and support, manufacturers can implement proactive mitigation strategies. Careful selection of the mitigation strategy (second sourcing and/or buffering) is key, as it can dramatically impact the part total cost of ownership. This thesis developed a simulation model that performs tradeoff analyses and identifies a near-optimal combination of second sourcing and buffering for specific part and product scenarios. In addition, this thesis explores the effectiveness of traditional analytical models when compared to a simulation-based approach for the selection of an effective optimal disruption mitigation strategy. Several case studies were performed that: 1) tested the impact of popular analytical limiting assumptions, and 2) implemented realistic disruption data in the context of real part management. The first set of case studies demonstrated that the simulation model is capable of overcoming significant scenario restrictions prevalent within traditional analytical models: finite horizon (including non-zero WACC), fixed support costs, and unreliable backup suppliers are essential components for determining the effective optimal disruption mitigation strategy for a given disruption scenario. The second set of case studies demonstrates the importance of proper mitigation strategy selection in real electronic part supply chain scenarios. The results from the case studies not only justified the need for a simulation-based approach to disruption modeling, but also helped to cement the simulation model as an effective decision making tool for electronic part distributors.
    URI
    http://hdl.handle.net/1903/15481
    Collections
    • Mechanical Engineering Theses and Dissertations
    • UMD Theses and Dissertations

    DRUM is brought to you by the University of Maryland Libraries
    University of Maryland, College Park, MD 20742-7011 (301)314-1328.
    Please send us your comments.
    Web Accessibility
     

     

    Browse

    All of DRUMCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    LoginRegister
    Pages
    About DRUMAbout Download Statistics

    DRUM is brought to you by the University of Maryland Libraries
    University of Maryland, College Park, MD 20742-7011 (301)314-1328.
    Please send us your comments.
    Web Accessibility