• Login
    View Item 
    •   Shocker Open Access Repository Home
    • Engineering
    • Industrial, Systems, and Manufacturing Engineering
    • Journal of Management and Engineering Integration
    • Volume 12 (2019)
    • Journal of Management and Engineering Integration, v.12 no.2
    • View Item
    •   Shocker Open Access Repository Home
    • Engineering
    • Industrial, Systems, and Manufacturing Engineering
    • Journal of Management and Engineering Integration
    • Volume 12 (2019)
    • Journal of Management and Engineering Integration, v.12 no.2
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    A variation of the network flow algorithm to optimize the diversity of project groups

    View/Open
    Article (533.5Kb)
    Date
    2019-12
    Author
    Mauch, Holger
    Metadata
    Show full item record
    Citation
    Mauch, H. (2019). A variation of the network flow algorithm to optimize the diversity of project groups. Journal of Management & Engineering Integration, 12(2), 11-18.
    Abstract
    Research has shown that the amount of diversity within project groups has an effect on how well groups perform. In particular, groups that are balanced with respect to gender, race, national origin, and social background tend to be more creative, more productive, and perform better on average than non-diversified groups (Hunt 2015, Hunt 2018). Therefore the assignment of employees to project groups must also take into account the sub-goal of diversification during the decision making process (in addition to hard constraints such as suitable skill level of an employee to even qualify for membership in a group.) The additional constraints this imposes on the optimization problem of finding the best group composition can be a considerable challenge for management. In this paper, we present a new variation of a classical network flow algorithm to solve this problem optimally. We show the results of an application area where optimal groups have been formed that work together. The results have been obtained by the software implementation of our algorithm called "NF Group Diversity".
    Description
    Published in SOAR: Shocker Open Access Repository by Wichita State University Libraries Technical Services, November 2022.
    URI
    https://soar.wichita.edu/handle/10057/24255
    Collections
    • Journal of Management and Engineering Integration, v.12 no.2

    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