Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/61779
Title: A Framework for Enhancing Supplier Selection Process by Using SOEKS and Decisional DNA
Contributor(s): Ahmed, Muhammad Bilal (author); Sanin, Cesar  (author)orcid ; Szczerbicki, Edward (author)
Publication Date: 2020
DOI: 10.1007/978-3-030-63119-2_45
Handle Link: https://hdl.handle.net/1959.11/61779
Abstract: 

Supplier selection process is one of the significant stages in supply chain management for industrial manufactured products. It plays an integral role in the success of any manufacturing organization and is an important part starting right from selecting raw material to dispatch of finished products. This paper contributes to enhance the supplier selection process by proposing a multi-criteria decision making framework for industrial manufactured products. The proposed framework is based on smart knowledge management technique called Set of experience knowledge structure (SOEKS) and Decisional DNA, which makes the proposed approach dynamic in nature as it updates itself every time a decision is taken.

Publication Type: Conference Publication
Conference Details: ICCCI 2020: 12th International Conference on Computer Communication and the Internet (ICCCI), Vietnam, 30th of November to 3rd of December, 2020
Source of Publication: Advances in Computational Collective Intelligence, v.1287, p. 558-565
Publisher: Springer Cham
Place of Publication: Switzerland
ISSN: 2730-7808
2730-7794
Fields of Research (FoR) 2020: 4602 Artificial intelligence
Peer Reviewed: Yes
HERDC Category Description: E1 Refereed Scholarly Conference Publication
Appears in Collections:Conference Publication

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