TADS

A task assignment decision support system for IT services

Yang Duan, Chung-Hsing Yeh

    Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

    Abstract

    This paper develops a task assignment decision support (TADS) system for an IT service manager to assign one or multiple tasks to the most suitable IT analysts. Developed for overcoming the deficiencies of the current task assignment practice in a case company, the TADS system approaches the task assignment problem in a novel and effective manner. With a decision rule knowledge base, a multiattribute decision making model and an optimization model, the TADS system can help make rational, consistent and informed decisions under various decision settings. An empirical study is conducted on both single and multiple task assignments to demonstrate the feasibility and effectiveness of the TADS system.
    Original languageEnglish
    Title of host publicationProceedings of the 2016 11th IEEE Conference on Industrial Electronics and Applications (ICIEA 2016)
    Subtitle of host publicationHefei, China, 5-7 June 2016
    EditorsWenxiang Xie, Cungang Hu, Weihai Chen
    Place of PublicationPiscataway, NJ
    PublisherIEEE, Institute of Electrical and Electronics Engineers
    Pages2472-2477
    Number of pages6
    ISBN (Electronic)9781509026050
    DOIs
    Publication statusPublished - 19 Oct 2016
    EventIEEE Conference on Industrial Electronics and Applications 2016 - Hefei Swan Lake Hotel, Hefei Anhui, China
    Duration: 5 Jun 20167 Jun 2016
    Conference number: 11th
    http://ieeeiciea.org/2016/index.html
    http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1001289 (Proceedings)

    Conference

    ConferenceIEEE Conference on Industrial Electronics and Applications 2016
    Abbreviated titleICIEA 2016
    CountryChina
    CityHefei Anhui
    Period5/06/167/06/16
    Internet address

    Keywords

    • Decision support
    • Multicriteria
    • Task assignment
    • Decision rule
    • Multiattribute decision making (MADM)
    • Optimization

    Cite this

    Duan, Y., & Yeh, C-H. (2016). TADS: A task assignment decision support system for IT services. In W. Xie, C. Hu, & W. Chen (Eds.), Proceedings of the 2016 11th IEEE Conference on Industrial Electronics and Applications (ICIEA 2016): Hefei, China, 5-7 June 2016 (pp. 2472-2477). [7604008] Piscataway, NJ: IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ICIEA.2016.7604008
    Duan, Yang ; Yeh, Chung-Hsing. / TADS : A task assignment decision support system for IT services. Proceedings of the 2016 11th IEEE Conference on Industrial Electronics and Applications (ICIEA 2016): Hefei, China, 5-7 June 2016. editor / Wenxiang Xie ; Cungang Hu ; Weihai Chen. Piscataway, NJ : IEEE, Institute of Electrical and Electronics Engineers, 2016. pp. 2472-2477
    @inproceedings{a0b22bf8143c4706a4a773fa95d77d17,
    title = "TADS: A task assignment decision support system for IT services",
    abstract = "This paper develops a task assignment decision support (TADS) system for an IT service manager to assign one or multiple tasks to the most suitable IT analysts. Developed for overcoming the deficiencies of the current task assignment practice in a case company, the TADS system approaches the task assignment problem in a novel and effective manner. With a decision rule knowledge base, a multiattribute decision making model and an optimization model, the TADS system can help make rational, consistent and informed decisions under various decision settings. An empirical study is conducted on both single and multiple task assignments to demonstrate the feasibility and effectiveness of the TADS system.",
    keywords = "Decision support, Multicriteria, Task assignment, Decision rule, Multiattribute decision making (MADM), Optimization",
    author = "Yang Duan and Chung-Hsing Yeh",
    year = "2016",
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    doi = "10.1109/ICIEA.2016.7604008",
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    Duan, Y & Yeh, C-H 2016, TADS: A task assignment decision support system for IT services. in W Xie, C Hu & W Chen (eds), Proceedings of the 2016 11th IEEE Conference on Industrial Electronics and Applications (ICIEA 2016): Hefei, China, 5-7 June 2016., 7604008, IEEE, Institute of Electrical and Electronics Engineers, Piscataway, NJ, pp. 2472-2477, IEEE Conference on Industrial Electronics and Applications 2016, Hefei Anhui, China, 5/06/16. https://doi.org/10.1109/ICIEA.2016.7604008

    TADS : A task assignment decision support system for IT services. / Duan, Yang; Yeh, Chung-Hsing.

    Proceedings of the 2016 11th IEEE Conference on Industrial Electronics and Applications (ICIEA 2016): Hefei, China, 5-7 June 2016. ed. / Wenxiang Xie; Cungang Hu; Weihai Chen. Piscataway, NJ : IEEE, Institute of Electrical and Electronics Engineers, 2016. p. 2472-2477 7604008.

    Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

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    AB - This paper develops a task assignment decision support (TADS) system for an IT service manager to assign one or multiple tasks to the most suitable IT analysts. Developed for overcoming the deficiencies of the current task assignment practice in a case company, the TADS system approaches the task assignment problem in a novel and effective manner. With a decision rule knowledge base, a multiattribute decision making model and an optimization model, the TADS system can help make rational, consistent and informed decisions under various decision settings. An empirical study is conducted on both single and multiple task assignments to demonstrate the feasibility and effectiveness of the TADS system.

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    KW - Multicriteria

    KW - Task assignment

    KW - Decision rule

    KW - Multiattribute decision making (MADM)

    KW - Optimization

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    BT - Proceedings of the 2016 11th IEEE Conference on Industrial Electronics and Applications (ICIEA 2016)

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    Duan Y, Yeh C-H. TADS: A task assignment decision support system for IT services. In Xie W, Hu C, Chen W, editors, Proceedings of the 2016 11th IEEE Conference on Industrial Electronics and Applications (ICIEA 2016): Hefei, China, 5-7 June 2016. Piscataway, NJ: IEEE, Institute of Electrical and Electronics Engineers. 2016. p. 2472-2477. 7604008 https://doi.org/10.1109/ICIEA.2016.7604008