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Rule Induction of Automotive Historic Styles Using Decision Tree Classifier Read chapter Read first chapter

2020 | OriginalPaper | Chapter

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

Authors : Muhammad Bilal Ahmed, Cesar Sanin, Edward Szczerbicki

Published in: Advances in Computational Collective Intelligence

Publisher: Springer International Publishing

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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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Metadata
Title
A Framework for Enhancing Supplier Selection Process by Using SOEKS and Decisional DNA
Authors
Muhammad Bilal Ahmed
Cesar Sanin
Edward Szczerbicki
Copyright Year
2020
Book
Advances in Computational Collective Intelligence

Print ISBN: 978-3-030-63118-5

Electronic ISBN: 978-3-030-63119-2

Copyright Year: 2020

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

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