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Abstract
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.
Citations
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Authors (3)
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Muhammad Ahmed
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Cesar Sanin
Cite as
Full text
- Publication version
- Accepted or Published Version
- License
- Copyright (Springer Nature Switzerland AG 2020)
Keywords
Details
- Category:
- Conference activity
- Type:
- publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
- Published in:
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Communications in Computer and Information Science
no. 1287,
pages 558 - 565,
ISSN: 1865-0929 - Title of issue:
- Advances in Computational Collective Intelligence strony 558 - 565
- Language:
- English
- Publication year:
- 2020
- Bibliographic description:
- Ahmed M., Sanin C., Szczerbicki E.: A Framework for Enhancing Supplier Selection Process by Using SOEKS and Decisional DNA// Advances in Computational Collective Intelligence/ : , 2020, s.558-565
- DOI:
- Digital Object Identifier (open in new tab) 10.1007/978-3-030-63119-2_45
- Verified by:
- Gdańsk University of Technology
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