• Login
    View Item 
    •   Shocker Open Access Repository Home
    • Graduate Student Research
    • ETD: Electronic Theses and Dissertations
    • Master's Theses
    • View Item
    •   Shocker Open Access Repository Home
    • Graduate Student Research
    • 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.

    Risk based worker allocation and line balancing

    View/Open
    Thesis (733.2Kb)
    Date
    2010-12
    Author
    Solaimuthu Pachaimuthu, Sathya Madhan
    Advisor
    Krishnan, Krishna K.
    Metadata
    Show full item record
    Abstract
    In general, manufacturing systems could be classified into machine intensive manufacturing and labor intensive manufacturing. From the previous studies, we can infer that worker allocation plays an important role in determining efficiency of a labor intensive manufacturing system. Most of the research works in the previous literature is performed in a deterministic bed. But from the time study data that was obtained from a local aircraft company shows a high degree of variability in worker processing times. Thus this research presents a worker allocation approach which also considers the uncertainty in worker processing times into account. Risk based worker allocation approach is developed for three different scenarios. First scenario is the single task per station balanced production line scenario, where workers are allocated to processes by minimizing the overall risk of delay due to workers. In the second scenario, in addition to worker allocation by minimizing the overall risk, multiple workers are allocated to processes to make the flow of products uniform in a single task per station unbalanced production line. Prior to implementing the final approach, a method for line balancing when variability is involved is studied and compared to the ranked positional-weight method. The final scenario developed is a simultaneous approach to balance and allocate workers in a multiple task per station production line. Case studies were simulated using QUEST software and the result indicates that risk based allocation has increased throughput and efficiency compared to deterministic worker allocation.
    Description
    Thesis (M.S.)--Wichita State University, College of Engineering, Dept. of Industrial and Manufacturing Engineering.
    URI
    http://hdl.handle.net/10057/3744
    Collections
    • CE Theses and Dissertations
    • ISME Theses and Dissertations
    • Master's Theses

    Browse

    All of Shocker Open Access RepositoryCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsBy TypeThis CollectionBy Issue DateAuthorsTitlesSubjectsBy Type

    My Account

    LoginRegister

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    DSpace software copyright © 2002-2023  DuraSpace
    DSpace Express is a service operated by 
    Atmire NV