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A Framework for Enhancing Supplier Selection Process by Using SOEKS and Decisional DNA

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Advances in Computational Collective Intelligence (ICCCI 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1287))

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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.

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Author information

Authors and Affiliations

  1. The University of Newcastle, Callaghan, NSW, Australia

    Muhammad Bilal Ahmed & Cesar Sanin

  2. Gdansk University of Technology, Gdansk, Poland

    Edward Szczerbicki

Authors
  1. Muhammad Bilal Ahmed
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  2. Cesar Sanin
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  3. Edward Szczerbicki
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Corresponding author

Correspondence to Muhammad Bilal Ahmed .

Editor information

Editors and Affiliations

  1. Wroclaw University of Economics and Business, Wrocław, Poland

    Marcin Hernes

  2. Wrocław University of Science and Technology, Wrocław, Poland

    Krystian Wojtkiewicz

  3. University of Newcastle, Newcastle, Australia

    Edward Szczerbicki

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Ahmed, M.B., Sanin, C., Szczerbicki, E. (2020). A Framework for Enhancing Supplier Selection Process by Using SOEKS and Decisional DNA. In: Hernes, M., Wojtkiewicz, K., Szczerbicki, E. (eds) Advances in Computational Collective Intelligence. ICCCI 2020. Communications in Computer and Information Science, vol 1287. Springer, Cham. https://doi.org/10.1007/978-3-030-63119-2_45

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  • DOI: https://doi.org/10.1007/978-3-030-63119-2_45

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-63118-5

  • Online ISBN: 978-3-030-63119-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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