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  • Hybrid supplier selection considering reliability of criteria and importance of assessment values

    Author(s)
    Nguyen, TS
    Mohamed, S
    Rahman, A
    Tonmoy, F
    Tran, LT
    Pham, TK
    Griffith University Author(s)
    Rahman, Anisur
    Mohamed, Sherif A.
    Year published
    2022
    Metadata
    Show full item record
    Abstract
    Supplier selection process is challenged by compiling information from decision-makers who often have different roles within organisations, with competing priorities. This difference in decision-makers' perspectives can introduce bias in the supplier selection process. Evaluation of suppliers is also challenged by decision-makers' inability to provide a precise numerical value reflecting their choices. To address these issues, this paper develops a new supplier selection model that enables a systematic process for aggregating preferences of non-homogeneous decision-makers who use linguistic labels to express their preferences. ...
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    Supplier selection process is challenged by compiling information from decision-makers who often have different roles within organisations, with competing priorities. This difference in decision-makers' perspectives can introduce bias in the supplier selection process. Evaluation of suppliers is also challenged by decision-makers' inability to provide a precise numerical value reflecting their choices. To address these issues, this paper develops a new supplier selection model that enables a systematic process for aggregating preferences of non-homogeneous decision-makers who use linguistic labels to express their preferences. The model also considers two critical pieces of information: Reliability of criteria and importance of assessment values (with respect to their ordering). A case study is used to demonstrate application of the proposed model. The model and its procedure can help managers select the most appropriate supplier that satisfies the organisation's requirements.
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    Journal Title
    International Journal of Integrated Supply Management
    Volume
    15
    Issue
    1
    DOI
    https://doi.org/10.1504/IJISM.2022.119590
    Subject
    Distributed computing and systems software
    Other information and computing sciences
    Publication URI
    http://hdl.handle.net/10072/411323
    Collection
    • Journal articles

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